US20120298870A1 - Method for automated testing of a material joint - Google Patents
Method for automated testing of a material joint Download PDFInfo
- Publication number
- US20120298870A1 US20120298870A1 US13/568,039 US201213568039A US2012298870A1 US 20120298870 A1 US20120298870 A1 US 20120298870A1 US 201213568039 A US201213568039 A US 201213568039A US 2012298870 A1 US2012298870 A1 US 2012298870A1
- Authority
- US
- United States
- Prior art keywords
- threshold value
- heat flow
- flow dynamics
- weld
- max
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Abandoned
Links
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
- B23K11/00—Resistance welding; Severing by resistance heating
- B23K11/36—Auxiliary equipment
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N25/00—Investigating or analyzing materials by the use of thermal means
- G01N25/72—Investigating presence of flaws
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
- B23K11/00—Resistance welding; Severing by resistance heating
- B23K11/24—Electric supply or control circuits therefor
- B23K11/25—Monitoring devices
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
- B23K—SOLDERING OR UNSOLDERING; WELDING; CLADDING OR PLATING BY SOLDERING OR WELDING; CUTTING BY APPLYING HEAT LOCALLY, e.g. FLAME CUTTING; WORKING BY LASER BEAM
- B23K31/00—Processes relevant to this subclass, specially adapted for particular articles or purposes, but not covered by only one of the preceding main groups
- B23K31/12—Processes relevant to this subclass, specially adapted for particular articles or purposes, but not covered by only one of the preceding main groups relating to investigating the properties, e.g. the weldability, of materials
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
Definitions
- the invention relates to a method for automated, contactless and non-destructive testing of a material joint of at least two mating parts according to the preamble of claim 1 .
- a weld point usually comprises a two-section joint which consists of a molten and a non-molten zone.
- the molten zone is located in an inner region of the weld point, thus forming the so-called weld nugget.
- the non-molten zone surrounds the weld nugget and is referred to as weld glue.
- weld glue In the non-molten zone, the mating parts are not welded together. The strength of the joint between the mating parts is therefore not sufficient in the non-molten zone as there is only a certain amount of adherence. The quality of the weld point is therefore substantially determined by the weld nugget.
- Heat flow thermography is a long-established contactless and non-destructive examination method.
- a test sample is excited by at least one excitation source in order to generate a heat flow.
- the thermal radiation emitted by the test sample is recorded in a sequence of images by means of at least one infrared sensor.
- the recorded sequence of images is developed into result images of various types. Result images of these types are for instance an amplitude image and a phase image which respectively illustrate the amplitude and the travel time of the thermal waves at various points of a material joint.
- Result images of these types are for instance an amplitude image and a phase image which respectively illustrate the amplitude and the travel time of the thermal waves at various points of a material joint.
- a phase image local differences in heat conductivity of a material joint can be made visible (Theory and Practice of Infrared Technology for Nondestructive Testing, Xavier P. V. Maldague, John Wiley and Sons, Inc., 2001).
- a method for automated testing of weld points is disclosed in WO 01/50116 A1 where the quality of a weld point is evaluated by means of a half-value period of the heat flow.
- a low half-value period of the heat flow at the individual image points indicates a good-quality weld joint.
- the disadvantage of this method is that the absolute half-value periods that are detected do not provide any objective information as to the location of the boundary between the weld nugget and the weld glue. With this method, an automated determination of the size and position of the weld point is therefore impossible on an industrial scale.
- DE 101 50 633 A1 discloses a method for automated testing of a weld point where the quality of the weld point is evaluated by means of a phase image.
- the phase image that is used is obtained by means of given parameters which are defined before the sequence of images to be examined is taken.
- the quality of the weld joint is determined by means of clearly defined threshold values.
- the disadvantage of this method is that the weld nugget to be evaluated is not reliably detectable on an industrial scale by means of clearly defined threshold values.
- this result image is used to determine a heat flow dynamics of surroundings of the material joint to be examined, said heat flow dynamics thus forming an image background.
- the heat flow dynamics of the image background is for instance determined by means of a histogram.
- a value which is lifted from the heat flow dynamics of the image background is defined as a minimum dynamic threshold value which defines a region where both the non-molten zone as well as the molten zone of the material joint may be located.
- a peak value of the heat flow dynamics through the material joint is determined in this region, the peak value being a maximum dynamic threshold value.
- a dynamic threshold value that is varied between the minimum threshold value and the maximum threshold value defines a sequence of regions on the result image, with each of these regions representing the values of the heat flow dynamics through the material joint that exceed the dynamic threshold value. These regions are examined with respect to their perimeter.
- the intensity bead causes the outer shape of these regions to increase abruptly when crossing the boundary between the molten zone and the non-molten zone.
- the perimeter of these regions is measured and represented by a feature vector, the perimeter being a numerical illustration of the outer shape of said regions.
- An abrupt increase in this feature vector indicates that the associated region has enclosed a portion of the non-molten zone.
- This abrupt increase of the feature vector may for instance be detected by means of conventional methods such as curve smoothing and curve examination.
- the boundary between the molten zone and the non-molten zone of a material joint can thus be localized dynamically and objectively. In this way the molten zone is reliably detectable.
- the detected molten zone is then evaluated in terms of its position and size.
- the heat flow dynamics through the material joint is reduced when crossing the boundary between the molten zone and the non-molten zone.
- the intensity bead causes the perimeter of the examined regions to decrease abruptly when crossing the boundary, with the result that an abrupt decrease can be observed in the feature vector.
- the described method is generally identical for all mating parts.
- material joints of mating parts from identical or different materials can be examined.
- the method allows one to examine weld joints as well as solder joints. These material joints show a boundary between a welded and a non-welded zone or a boundary between a soldered and a non-soldered zone, respectively.
- an intensity bead develops on the result image which illustrates local differences in heat conductivity of the material joint to be examined.
- Said intensity bead can be detected by means of conventional signal and image processing methods in order to detect and evaluate the weld and solder joint.
- Excitation of the material joint and detection of the heat flow may generally occur on different sides or on identical sides of the material joint. Accordingly, result images of various types are evaluated, which illustrate a time and space resolved heat flow in transmission and/or reflection. It must be ensured that the measurement results of the heat flow are not considerably influenced by intensity variations of the excitation source, the state and properties of the material surface and the material thickness of the mating parts. Therefore, a result image is used which does not illustrate absolute values of the heat flow or of its speed through the material joint to be examined but local speed differences of the heat flow.
- a result image of this type may for instance be a phase image which is obtained using infrared lock-in thermography. (Theory and Practice of Infrared Technology for Nondestructive Testing, Xavier P.
- a phase image illustrates the travel time of the thermal waves when propagating through the material joint, with the result that differences in heat conductivity of the material joint occurring between the various image points of the result image become visible.
- the local speed differences of the heat flow are referred to as heat flow dynamics.
- a reference region according to claim 2 ensures that the minimum threshold value is obtained from the heat flow dynamics of the image background.
- the maximum threshold value is easily detectable by means of a test region according to claim 3 .
- the test region may for instance be located in the center of the region to be examined.
- the size of the test region can be determined experimentally, wherein Shannon's sampling theorem needs to be observed (Industrial Image Processing, Christian Demant, Bernd Streicher-Abel, Peter Waszkewitz, Springer-Verlag, 1998).
- the size of the test region may for instance be defined to be 3 ⁇ 3 pixels.
- test regions are generated in such a way that a test region with a defined size is displaced in the region which represents the values of the heat flow dynamics that exceed the minimum threshold value.
- the size of the test regions may for instance be defined to be 3 ⁇ 3 pixels.
- Determining the increment size by means of an iterative process according to claim 5 allows one to find an optimum increment size. In order to determine an optimum increment size, it is for instance conceivable to start with an increment size of 1.
- a weld point according to claim 6 which comprises a molten zone referred to as weld nugget and a non-molten but still adhering zone referred to as weld glue is an important material joint for industrial applications; the advantages of the method according to the invention are therefore particularly evident.
- a material characteristic curve according to claim 7 allows one to exactly determine the remaining material thickness of a weld point and therefore of the indentation at the weld point that was formed by the welding gun.
- the material characteristic curve for the material combination of the mating parts to be examined needs to be generated in advance.
- the material characteristic curve illustrates a nonlinear dependence of the peak value of the heat flow dynamics from the remaining material thickness of a weld point.
- the data required for this characteristic curve are obtained at various reference weld points of the same material combination, the reference weld points having different remaining material thicknesses.
- the transmitted component and the dissipated component of the heat flow play different roles in the determination of the remaining material thickness.
- the remaining material thickness of a weld point is small, it is the transmitted component of the heat flow that determines the peak value of the heat flow dynamics. In the case of a greater remaining material thickness, it is the dissipated component of the heat flow which is more important.
- the peak value measured in the region of the weld nugget can therefore be used to determine the remaining material thickness.
- the peak value of the heat flow dynamics corresponds to the maximum threshold value which is measured in the region of the weld nugget of the weld point.
- the remaining material thicknesses of the reference weld points are measured using an independent method.
- a comparison with a first limiting value according to claim 8 allows one to detect holes. If the value of the heat flow dynamics is too high, this indicates the presence of a hole in the weld point.
- the first limiting value is determined empirically.
- a comparison with a second limiting value according to claim 9 allows one to detect cavities. If the value of the heat flow dynamics is too low, this indicates the presence of a cavity in the weld nugget.
- a weld nugget of this type is referred to as a burned out weld nugget.
- the second limiting value is determined empirically.
- a development of the method according to claim 10 allows one to specifically search for surface damages in the region of the detected weld nugget.
- the detection of damages is restricted to the region of the weld nugget so that the method is protected from producing false results.
- the further image may for instance be one of the recorded thermal images or a further result image.
- the result image may for instance be an amplitude image which is obtained using infrared lock-in thermography.
- the amplitude image shows the amplitude of the thermal waves when propagating through the weld point.
- the quality of the weld point can be precisely classified and evaluated.
- it is possible to identify and trace the causes of the damaged weld point thus allowing a statistical evaluation of the entire welding process to be performed which may serve as a basis for quality assurance.
- FIG. 1 shows a section through a material joint in the form of a weld point
- FIG. 2 is a view of a one-dimensional distribution of a heat flow dynamics through the weld point
- FIG. 3 is a view of a first feature vector by means of which a perimeter of regions to be examined is represented as a function of the heat flow dynamics;
- FIG. 4 is a view of a second feature vector by means of which a perimeter of regions to be examined is represented as a function of the heat flow dynamics
- FIG. 5 is a material characteristic curve which represents a peak value of the heat flow dynamics as a function of a remaining material thickness.
- a test sample 1 comprises a first mating part 2 and a second mating part 3 which are interconnected by a material joint 4 .
- the mating parts 2 , 3 may be formed of identical or different materials having identical or different material thicknesses.
- the material joint 4 is a weld point. The following is a description of the material joint in the form of a weld point 4 .
- the weld point 4 forms a two-section joint which consists of a molten zone 5 and a non-molten zone 6 surrounding said molten zone 5 . Between the molten zone 5 and the non-molten zone 6 , there is a boundary 7 which delimits the molten zone 5 and separates it from the non-molten but still adhering zone 6 .
- the molten zone is hereinafter referred to as weld nugget 5 while the non-molten zone is referred to as weld glue 6 .
- An excitation source 8 and an infrared sensor 9 are arranged on opposite sides of the test sample 1 .
- the test sample 1 and the weld point 4 to be examined are excited in pulses by means of the excitation source 8 .
- a heat flow 10 is generated which consists of a transmitted component 11 and a dissipated component 12 .
- the dissipated component 12 is also referred to as dissipative component.
- the transmitted component 11 of the heat flow 10 is recorded by means of the infrared sensor 9 in a sequence of thermal images taken one after the other.
- Each of the mating parts 2 , 3 of the weld point 4 has an indentation 13 .
- the indentations 13 are formed by a welding gun which is used for producing the weld point 4 .
- the indentations 13 define a remaining material thickness M.
- a computing unit 14 is provided for evaluation of the recorded sequence of thermal images, the computing unit 14 being connected to the excitation source 8 and the infrared sensor 9 .
- the sequence of thermal images is developed into result images of various types.
- a result image in the form of a phase image illustrates the heat flow dynamics W through the weld point 4 .
- the heat flow dynamics W describes the local speed differences of the heat flow 10 when propagating through the weld point 4 , and therefore the local differences in heat conductivity.
- FIG. 2 shows a one-dimensional distribution 15 of the heat flow dynamics W along a cross-section coordinate x.
- the heat flow dynamics W generally shows a two-dimensional distribution. From a qualitative point of view, said two-dimensional distribution corresponds to the one-dimensional distribution 15 , the two-dimensional distribution may however have a non-symmetric and irregular shape corresponding to the geometry of the weld point 4 .
- the two-dimensional distribution of the heat flow dynamics W is substantially determined by the geometry of the weld point 4 .
- the geometry of the weld point 4 is impressed by the indentations 13 of the weld gun.
- the following is a more detailed description of the one-dimensional distribution 15 of the heat flow dynamics W.
- it is the two-dimensional distribution of the heat flow dynamics W that needs to be evaluated; the following descriptions therefore apply correspondingly to the two-dimensional distribution.
- the heat flow dynamics W has a peak value, with the heat flow dynamics W decreasing from this peak value towards the periphery of the weld point 4 .
- the boundary 7 between the weld nugget 5 and the weld glue 6 leads to an additional local decrease of the heat flow dynamics W, with the heat flow dynamics W increasing again immediately behind this boundary 7 .
- This effect results in an intensity bead 16 which is shown in FIG. 2 for the one-dimensional distribution 15 of the heat flow dynamics W.
- the effect of the formation of an intensity bead 16 around the weld nugget 5 may be non-symmetric and irregular; it is therefore the two-dimensional distribution of the heat flow dynamics W that needs to be evaluated in order to correctly detect the weld nugget 5 .
- a minimum threshold value W min is determined in a first step.
- the minimum threshold value W min exceeds the heat flow dynamics W of an image background H.
- the minimum threshold value W min is obtained from a reference region R of the heat flow dynamics W of the image background H, the reference region R forming a part of the image background H.
- a maximum threshold value W max is determined which corresponds to the peak value of the heat flow dynamics W through the weld point 4 .
- the maximum peak value W max is obtained from a test region T which is located in the center of a region S which represents the values of the heat flow dynamics W exceeding the minimum threshold value W min .
- the maximum threshold value W max is an average value of the values of the heat flow dynamics W obtained from the test region T.
- the maximum threshold value W max may be obtained from several test regions T of the same size which are offset relative to each other in the region S, with an average value of the values of the heat flow dynamics W being obtained from the test region T for each of the test regions T.
- the maximum threshold value W max is the maximum value of these average values.
- a dynamic threshold value W dyn is varied between the minimum threshold value W min and the maximum threshold value W max .
- the dynamic threshold value W dyn is varied with an increment size ⁇ W dyn . This means that two subsequent dynamic threshold values W dyn, i and W dyn, i+1 are spaced from each other by the increment size ⁇ W dyn .
- the optimum increment size ⁇ W dyn can be obtained iteratively.
- An associated region B i of the heat flow dynamics W through the weld point 4 is determined for each dynamic threshold value W dyn, i , with the region B i representing the values of the heat flow dynamics W exceeding the dynamic threshold value W dyn, i .
- Each region B i has an associated perimeter U i which is determined and represented by a feature vector. All regions B are then examined with respect to an abrupt change in perimeter ⁇ U. If the dynamic threshold value W dyn is varied between the maximum threshold value W max and the minimum threshold value W min , an abrupt increase of the perimeter U occurs if a region B to be examined crosses the boundary 7 between the weld nugget 5 and the weld glue 6 .
- FIG. 2 shows a region B i with a perimeter U i when the region B i has not yet crossed the boundary 7 .
- FIG. 2 further shows a region B i+1 with a perimeter U i+1 where the region B i+1 has already crossed the boundary 7 .
- the region B i+1 thus encloses a portion of the weld glue 6 .
- the enclosed portion of the weld glue 6 shows a greater heat flow dynamics W than the boundary 7 .
- the region B i is thus the greatest region which has not yet crossed the boundary 7 and does therefore not enclose a portion of the weld glue 6 .
- the region B i therefore substantially corresponds to the weld nugget 5 .
- the position and the size of the weld nugget 5 can therefore be evaluated by means of the region B i and its associated perimeter U i .
- the abrupt change in perimeter ⁇ U may be followed by a rapid decrease in perimeter as shown in FIG. 4 , or by another increase of the perimeter U as shown in FIG. 3 .
- This is the result of the Poisson effect (Gerthsen Physik, 23 rd edition, p. 130 ff., Springer Verlag, 2006) which states that an object with a distinct outer shape tends to either eliminate or further increase the deviation of its shape from an ideal circle when the surface area of said object increases. If these deviations are eliminated when the size of the object increases, this will result in a reduction of the perimeter. As soon as the deviations are substantially eliminated, the perimeter of the object will increase continuously again.
- the abrupt change in perimeter ⁇ U of the regions B to be examined is detectable by means of conventional signal and image processing methods. They allow a non-symmetric and irregular formation of the intensity bead 16 around the weld nugget 5 to be detected. A dynamic and adaptive and therefore automated detection of the weld nugget 5 is thus guaranteed.
- the peak value of the heat flow dynamics W which is the maximum threshold value W max , allows a contactless and non-destructive examination of the remaining material thickness M of the weld point 4 to be performed.
- a material characteristic curve K is generated in advance with respect to the material combination of the mating parts 2 , 3 to be examined.
- the characteristic curve K is determined by means of reference weld points which have different remaining material thicknesses, the reference weld points interconnecting corresponding mating parts 2 , 3 which are to be examined later.
- a remaining material thickness M is measured by means of an independent method.
- a peak value of the heat flow dynamics W is measured for each reference weld point.
- the characteristic curve K describes the nonlinear dependence of the peak value of the heat flow dynamics W from the remaining material thickness M.
- the characteristic curve K allows one to examine the remaining material thickness M of the weld point 4 to be examined and of the indentations 13 at the weld point 4 that were formed by the weld gun.
- the maximum peak value W max of the weld point 4 to be examined is compared with a first limiting value G 1 ; if this limiting value G 1 is exceeded, this indicates the presence of a hole in the weld point 4 .
- the maximum peak value W max of the weld point 4 to be examined is compared with a second limiting value G 2 ; if said maximum peak value W max is less than this limiting value G 2 , this indicates the presence of a cavity in the weld point 4 .
- the limiting values G 1 , G 2 are determined empirically.
- the method allows various surface damages of the weld point 4 to be detected and evaluated. Detection and evaluation of surface damages takes place in the detected region B i of the weld nugget 5 .
- Surface damages are detected by means of another image which is provided with a coordinate system that is identical to that of the result image used to detect the weld nugget 5 .
- An image of this type may for instance be a thermal image or an amplitude image which is generated by means of infrared lock-in thermography (Theory and Practice of Infrared Technology for Nondestructive Testing, Xavier P. V. Maldague, John Wiley and Sons, Inc., 2001).
- the detection of defects occurs exclusively in the region B i of the weld nugget 5 so that false results are avoided.
- the boundary 7 between the weld nugget 5 and the weld glue 6 is for instance not identified as a defect.
- the evaluation and detection of defects may for instance be performed using conventional signal and image processing methods.
- the weld point 4 can be classified depending on the origin, size and position as well as the combination of the detected weld point defects. This allows one to precisely evaluate the quality of the weld point 4 .
- the method according to the invention enables an automated, contactless and non-destructive examination of a weld point 4 to be performed on an industrial scale.
- the method provides for a comprehensive detection of defects which ensures a precise and reliable classification of the weld point 4 to be examined.
Abstract
In a method for automated, contactless and non-destructive testing of a material joint (4), a dynamic threshold value is varied between a minimum threshold value and a maximum threshold value, with regions of a heat flow dynamics through the material joint (4) being determined which represent values of the heat flow dynamics exceeding the dynamic threshold value. The regions of the heat flow dynamics are examined with respect to an abrupt change in perimeter. An Abrupt change in perimeter occurs if a boundary (7) between a molten zone (5) and a non-molten but still adhering zone (6) of the material joint (4) is being crossed.
Description
- The invention relates to a method for automated, contactless and non-destructive testing of a material joint of at least two mating parts according to the preamble of
claim 1. - Weld points are important material joints for industrial applications. A weld point usually comprises a two-section joint which consists of a molten and a non-molten zone. The molten zone is located in an inner region of the weld point, thus forming the so-called weld nugget. The non-molten zone surrounds the weld nugget and is referred to as weld glue. In the non-molten zone, the mating parts are not welded together. The strength of the joint between the mating parts is therefore not sufficient in the non-molten zone as there is only a certain amount of adherence. The quality of the weld point is therefore substantially determined by the weld nugget.
- It is known to evaluate the quality of a weld point by means of destructive testing or examination. An examination of this type can however only be performed by random sampling. A more frequent examination—up to an examination of 100 percent of all samples—is only performable by means of non-destructive examination.
- Heat flow thermography is a long-established contactless and non-destructive examination method. According to this method, a test sample is excited by at least one excitation source in order to generate a heat flow. The thermal radiation emitted by the test sample is recorded in a sequence of images by means of at least one infrared sensor. In a computing unit, the recorded sequence of images is developed into result images of various types. Result images of these types are for instance an amplitude image and a phase image which respectively illustrate the amplitude and the travel time of the thermal waves at various points of a material joint. By means of a phase image, local differences in heat conductivity of a material joint can be made visible (Theory and Practice of Infrared Technology for Nondestructive Testing, Xavier P. V. Maldague, John Wiley and Sons, Inc., 2001).
- A method for automated testing of weld points is disclosed in WO 01/50116 A1 where the quality of a weld point is evaluated by means of a half-value period of the heat flow. A low half-value period of the heat flow at the individual image points indicates a good-quality weld joint. The disadvantage of this method is that the absolute half-value periods that are detected do not provide any objective information as to the location of the boundary between the weld nugget and the weld glue. With this method, an automated determination of the size and position of the weld point is therefore impossible on an industrial scale.
- DE 101 50 633 A1 discloses a method for automated testing of a weld point where the quality of the weld point is evaluated by means of a phase image. The phase image that is used is obtained by means of given parameters which are defined before the sequence of images to be examined is taken. The quality of the weld joint is determined by means of clearly defined threshold values. The disadvantage of this method is that the weld nugget to be evaluated is not reliably detectable on an industrial scale by means of clearly defined threshold values.
- It is the object of the invention to provide a method for automated, contactless and non-destructive testing of a material joint which allows the molten zone of a material joint to be reliably detected and evaluated.
- This object is achieved by the features of
claim 1. It has been found according to the invention that the boundary between the molten zone and the non-molten but still adhering zone is an additional obstacle for the heat flow. This boundary causes an abrupt decrease of the heat flow dynamics. Immediately behind this boundary, the dynamics of the heat flow in the non-molten zone increases again. In a result image in which the heat flow dynamics through the material joint is illustrated as intensity values of the result image, this is shown by an intensity bead which forms at this point. - In a first step, this result image is used to determine a heat flow dynamics of surroundings of the material joint to be examined, said heat flow dynamics thus forming an image background. The heat flow dynamics of the image background is for instance determined by means of a histogram. A value which is lifted from the heat flow dynamics of the image background is defined as a minimum dynamic threshold value which defines a region where both the non-molten zone as well as the molten zone of the material joint may be located. In a next step, a peak value of the heat flow dynamics through the material joint is determined in this region, the peak value being a maximum dynamic threshold value. A dynamic threshold value that is varied between the minimum threshold value and the maximum threshold value defines a sequence of regions on the result image, with each of these regions representing the values of the heat flow dynamics through the material joint that exceed the dynamic threshold value. These regions are examined with respect to their perimeter. The intensity bead causes the outer shape of these regions to increase abruptly when crossing the boundary between the molten zone and the non-molten zone. The perimeter of these regions is measured and represented by a feature vector, the perimeter being a numerical illustration of the outer shape of said regions. An abrupt increase in this feature vector indicates that the associated region has enclosed a portion of the non-molten zone. This abrupt increase of the feature vector may for instance be detected by means of conventional methods such as curve smoothing and curve examination. The boundary between the molten zone and the non-molten zone of a material joint can thus be localized dynamically and objectively. In this way the molten zone is reliably detectable. The detected molten zone is then evaluated in terms of its position and size.
- If excitation and detection of the heat flow occur on the same side of the material joint, the heat flow dynamics through the material joint is reduced when crossing the boundary between the molten zone and the non-molten zone. In this case, the intensity bead causes the perimeter of the examined regions to decrease abruptly when crossing the boundary, with the result that an abrupt decrease can be observed in the feature vector.
- The described method is generally identical for all mating parts. Thus material joints of mating parts from identical or different materials can be examined. Furthermore, the method allows one to examine weld joints as well as solder joints. These material joints show a boundary between a welded and a non-welded zone or a boundary between a soldered and a non-soldered zone, respectively. Accordingly, an intensity bead develops on the result image which illustrates local differences in heat conductivity of the material joint to be examined. Said intensity bead can be detected by means of conventional signal and image processing methods in order to detect and evaluate the weld and solder joint.
- Excitation of the material joint and detection of the heat flow may generally occur on different sides or on identical sides of the material joint. Accordingly, result images of various types are evaluated, which illustrate a time and space resolved heat flow in transmission and/or reflection. It must be ensured that the measurement results of the heat flow are not considerably influenced by intensity variations of the excitation source, the state and properties of the material surface and the material thickness of the mating parts. Therefore, a result image is used which does not illustrate absolute values of the heat flow or of its speed through the material joint to be examined but local speed differences of the heat flow. A result image of this type may for instance be a phase image which is obtained using infrared lock-in thermography. (Theory and Practice of Infrared Technology for Nondestructive Testing, Xavier P. V. Maldague, John Wiley and Sons, Inc., 2001). A phase image illustrates the travel time of the thermal waves when propagating through the material joint, with the result that differences in heat conductivity of the material joint occurring between the various image points of the result image become visible. The local speed differences of the heat flow are referred to as heat flow dynamics.
- A reference region according to
claim 2 ensures that the minimum threshold value is obtained from the heat flow dynamics of the image background. - The maximum threshold value is easily detectable by means of a test region according to
claim 3. The test region may for instance be located in the center of the region to be examined. The size of the test region can be determined experimentally, wherein Shannon's sampling theorem needs to be observed (Industrial Image Processing, Christian Demant, Bernd Streicher-Abel, Peter Waszkewitz, Springer-Verlag, 1998). The size of the test region may for instance be defined to be 3×3 pixels. - Determining the maximum threshold value by means of several test regions of the same size according to
claim 4 is reliable. The test regions are generated in such a way that a test region with a defined size is displaced in the region which represents the values of the heat flow dynamics that exceed the minimum threshold value. The size of the test regions may for instance be defined to be 3×3 pixels. - Determining the increment size by means of an iterative process according to
claim 5 allows one to find an optimum increment size. In order to determine an optimum increment size, it is for instance conceivable to start with an increment size of 1. - A weld point according to
claim 6 which comprises a molten zone referred to as weld nugget and a non-molten but still adhering zone referred to as weld glue is an important material joint for industrial applications; the advantages of the method according to the invention are therefore particularly evident. - A material characteristic curve according to
claim 7 allows one to exactly determine the remaining material thickness of a weld point and therefore of the indentation at the weld point that was formed by the welding gun. In order to examine the material joint, the material characteristic curve for the material combination of the mating parts to be examined needs to be generated in advance. The material characteristic curve illustrates a nonlinear dependence of the peak value of the heat flow dynamics from the remaining material thickness of a weld point. The data required for this characteristic curve are obtained at various reference weld points of the same material combination, the reference weld points having different remaining material thicknesses. The transmitted component and the dissipated component of the heat flow play different roles in the determination of the remaining material thickness. If the remaining material thickness of a weld point is small, it is the transmitted component of the heat flow that determines the peak value of the heat flow dynamics. In the case of a greater remaining material thickness, it is the dissipated component of the heat flow which is more important. The peak value measured in the region of the weld nugget can therefore be used to determine the remaining material thickness. The peak value of the heat flow dynamics corresponds to the maximum threshold value which is measured in the region of the weld nugget of the weld point. The remaining material thicknesses of the reference weld points are measured using an independent method. - A comparison with a first limiting value according to claim 8 allows one to detect holes. If the value of the heat flow dynamics is too high, this indicates the presence of a hole in the weld point. The first limiting value is determined empirically.
- A comparison with a second limiting value according to claim 9 allows one to detect cavities. If the value of the heat flow dynamics is too low, this indicates the presence of a cavity in the weld nugget. A weld nugget of this type is referred to as a burned out weld nugget. The second limiting value is determined empirically.
- A development of the method according to
claim 10 allows one to specifically search for surface damages in the region of the detected weld nugget. The detection of damages is restricted to the region of the weld nugget so that the method is protected from producing false results. The further image may for instance be one of the recorded thermal images or a further result image. The result image may for instance be an amplitude image which is obtained using infrared lock-in thermography. The amplitude image shows the amplitude of the thermal waves when propagating through the weld point. Depending on the origin, size and position as well as the combination of the detected defects, the quality of the weld point can be precisely classified and evaluated. Furthermore, it is possible to identify and trace the causes of the damaged weld point, thus allowing a statistical evaluation of the entire welding process to be performed which may serve as a basis for quality assurance. - Further features and advantages of the invention will become apparent from the description of an embodiment by means of the drawing in which
-
FIG. 1 shows a section through a material joint in the form of a weld point; -
FIG. 2 is a view of a one-dimensional distribution of a heat flow dynamics through the weld point; -
FIG. 3 is a view of a first feature vector by means of which a perimeter of regions to be examined is represented as a function of the heat flow dynamics; -
FIG. 4 is a view of a second feature vector by means of which a perimeter of regions to be examined is represented as a function of the heat flow dynamics; and -
FIG. 5 is a material characteristic curve which represents a peak value of the heat flow dynamics as a function of a remaining material thickness. - A
test sample 1 comprises afirst mating part 2 and asecond mating part 3 which are interconnected by amaterial joint 4. Themating parts weld point 4. - The
weld point 4 forms a two-section joint which consists of amolten zone 5 and anon-molten zone 6 surrounding saidmolten zone 5. Between themolten zone 5 and thenon-molten zone 6, there is aboundary 7 which delimits themolten zone 5 and separates it from the non-molten but still adheringzone 6. The molten zone is hereinafter referred to asweld nugget 5 while the non-molten zone is referred to asweld glue 6. An excitation source 8 and an infrared sensor 9 are arranged on opposite sides of thetest sample 1. - The
test sample 1 and theweld point 4 to be examined are excited in pulses by means of the excitation source 8. Aheat flow 10 is generated which consists of a transmittedcomponent 11 and a dissipatedcomponent 12. The dissipatedcomponent 12 is also referred to as dissipative component. The transmittedcomponent 11 of theheat flow 10 is recorded by means of the infrared sensor 9 in a sequence of thermal images taken one after the other. - Each of the
mating parts weld point 4 has anindentation 13. Theindentations 13 are formed by a welding gun which is used for producing theweld point 4. Theindentations 13 define a remaining material thickness M. - A
computing unit 14 is provided for evaluation of the recorded sequence of thermal images, thecomputing unit 14 being connected to the excitation source 8 and the infrared sensor 9. The sequence of thermal images is developed into result images of various types. A result image in the form of a phase image illustrates the heat flow dynamics W through theweld point 4. The heat flow dynamics W describes the local speed differences of theheat flow 10 when propagating through theweld point 4, and therefore the local differences in heat conductivity. -
FIG. 2 shows a one-dimensional distribution 15 of the heat flow dynamics W along a cross-section coordinate x. The heat flow dynamics W generally shows a two-dimensional distribution. From a qualitative point of view, said two-dimensional distribution corresponds to the one-dimensional distribution 15, the two-dimensional distribution may however have a non-symmetric and irregular shape corresponding to the geometry of theweld point 4. - The two-dimensional distribution of the heat flow dynamics W is substantially determined by the geometry of the
weld point 4. The geometry of theweld point 4 is impressed by theindentations 13 of the weld gun. The following is a more detailed description of the one-dimensional distribution 15 of the heat flow dynamics W. In order to be able to correctly detect the weld nugget, however, it is the two-dimensional distribution of the heat flow dynamics W that needs to be evaluated; the following descriptions therefore apply correspondingly to the two-dimensional distribution. - In a center of the
weld point 4, the heat flow dynamics W has a peak value, with the heat flow dynamics W decreasing from this peak value towards the periphery of theweld point 4. It has been found according to the invention that theboundary 7 between theweld nugget 5 and theweld glue 6 leads to an additional local decrease of the heat flow dynamics W, with the heat flow dynamics W increasing again immediately behind thisboundary 7. This effect results in anintensity bead 16 which is shown inFIG. 2 for the one-dimensional distribution 15 of the heat flow dynamics W. The effect of the formation of anintensity bead 16 around theweld nugget 5 may be non-symmetric and irregular; it is therefore the two-dimensional distribution of the heat flow dynamics W that needs to be evaluated in order to correctly detect theweld nugget 5. - In order to detect the
weld nugget 5, a minimum threshold value Wmin is determined in a first step. The minimum threshold value Wmin exceeds the heat flow dynamics W of an image background H. The minimum threshold value Wmin is obtained from a reference region R of the heat flow dynamics W of the image background H, the reference region R forming a part of the image background H. - Furthermore, a maximum threshold value Wmax is determined which corresponds to the peak value of the heat flow dynamics W through the
weld point 4. The maximum peak value Wmax is obtained from a test region T which is located in the center of a region S which represents the values of the heat flow dynamics W exceeding the minimum threshold value Wmin. The maximum threshold value Wmax is an average value of the values of the heat flow dynamics W obtained from the test region T. - Alternatively, the maximum threshold value Wmax may be obtained from several test regions T of the same size which are offset relative to each other in the region S, with an average value of the values of the heat flow dynamics W being obtained from the test region T for each of the test regions T. The maximum threshold value Wmax is the maximum value of these average values.
- In order to detect the
weld nugget 5, a dynamic threshold value Wdyn is varied between the minimum threshold value Wmin and the maximum threshold value Wmax. The varied dynamic threshold values are referred to as Wdyn, i, with i=1 to n. The dynamic threshold value Wdyn is varied with an increment size ΔWdyn. This means that two subsequent dynamic threshold values Wdyn, i and Wdyn, i+1 are spaced from each other by the increment size ΔWdyn. The optimum increment size ΔWdyn can be obtained iteratively. - An associated region Bi of the heat flow dynamics W through the
weld point 4 is determined for each dynamic threshold value Wdyn, i, with the region Bi representing the values of the heat flow dynamics W exceeding the dynamic threshold value Wdyn, i. Each region Bi has an associated perimeter Ui which is determined and represented by a feature vector. All regions B are then examined with respect to an abrupt change in perimeter ΔU. If the dynamic threshold value Wdyn is varied between the maximum threshold value Wmax and the minimum threshold value Wmin, an abrupt increase of the perimeter U occurs if a region B to be examined crosses theboundary 7 between theweld nugget 5 and theweld glue 6.FIG. 2 shows a region Bi with a perimeter Ui when the region Bi has not yet crossed theboundary 7.FIG. 2 further shows a region Bi+1 with a perimeter Ui+1 where the region Bi+1 has already crossed theboundary 7. The region Bi+1 thus encloses a portion of theweld glue 6. The enclosed portion of theweld glue 6 shows a greater heat flow dynamics W than theboundary 7. The region Bi is thus the greatest region which has not yet crossed theboundary 7 and does therefore not enclose a portion of theweld glue 6. The region Bi therefore substantially corresponds to theweld nugget 5. The position and the size of theweld nugget 5 can therefore be evaluated by means of the region Bi and its associated perimeter Ui. - Depending on the state of the outer shape of the regions B to be examined, the abrupt change in perimeter ΔU may be followed by a rapid decrease in perimeter as shown in
FIG. 4 , or by another increase of the perimeter U as shown inFIG. 3 . This is the result of the Poisson effect (Gerthsen Physik, 23rd edition, p. 130 ff., Springer Verlag, 2006) which states that an object with a distinct outer shape tends to either eliminate or further increase the deviation of its shape from an ideal circle when the surface area of said object increases. If these deviations are eliminated when the size of the object increases, this will result in a reduction of the perimeter. As soon as the deviations are substantially eliminated, the perimeter of the object will increase continuously again. - The abrupt change in perimeter ΔU of the regions B to be examined is detectable by means of conventional signal and image processing methods. They allow a non-symmetric and irregular formation of the
intensity bead 16 around theweld nugget 5 to be detected. A dynamic and adaptive and therefore automated detection of theweld nugget 5 is thus guaranteed. - The peak value of the heat flow dynamics W, which is the maximum threshold value Wmax, allows a contactless and non-destructive examination of the remaining material thickness M of the
weld point 4 to be performed. In order to determine the remaining material thickness M, a material characteristic curve K is generated in advance with respect to the material combination of themating parts mating parts - The characteristic curve K allows one to examine the remaining material thickness M of the
weld point 4 to be examined and of theindentations 13 at theweld point 4 that were formed by the weld gun. The maximum peak value Wmax of theweld point 4 to be examined is compared with a first limiting value G1; if this limiting value G1 is exceeded, this indicates the presence of a hole in theweld point 4. Furthermore, the maximum peak value Wmax of theweld point 4 to be examined is compared with a second limiting value G2; if said maximum peak value Wmax is less than this limiting value G2, this indicates the presence of a cavity in theweld point 4. The limiting values G1, G2 are determined empirically. - Furthermore, the method allows various surface damages of the
weld point 4 to be detected and evaluated. Detection and evaluation of surface damages takes place in the detected region Bi of theweld nugget 5. Surface damages are detected by means of another image which is provided with a coordinate system that is identical to that of the result image used to detect theweld nugget 5. An image of this type may for instance be a thermal image or an amplitude image which is generated by means of infrared lock-in thermography (Theory and Practice of Infrared Technology for Nondestructive Testing, Xavier P. V. Maldague, John Wiley and Sons, Inc., 2001). The detection of defects occurs exclusively in the region Bi of theweld nugget 5 so that false results are avoided. Theboundary 7 between theweld nugget 5 and theweld glue 6 is for instance not identified as a defect. The evaluation and detection of defects may for instance be performed using conventional signal and image processing methods. - The
weld point 4 can be classified depending on the origin, size and position as well as the combination of the detected weld point defects. This allows one to precisely evaluate the quality of theweld point 4. - The method according to the invention enables an automated, contactless and non-destructive examination of a
weld point 4 to be performed on an industrial scale. The method provides for a comprehensive detection of defects which ensures a precise and reliable classification of theweld point 4 to be examined.
Claims (10)
1. A method for automated, contactless and non-destructive testing of a material joint of at least two mating parts, wherein the material joint being a two-section joint which consists of a molten zone and a non-molten zone surrounding said molten zone; comprising:
obtaining infrared images by using at least one excitation source to excite a test sample and at least one infrared sensor to detect a developing heat flow in a sequence of thermal images, such that result images are obtained from the sequence of thermal images;
examining the thermal images and the result images to detect the molten zone from a result image, which illustrates a heat flow dynamics (W) through the material joint, in such a way that a minimum threshold value (Wmin) is determined which exceeds a heat flow dynamics (W) of an image background (H); a maximum threshold value (Wmax) is determined which corresponds to a peak value of the heat flow dynamics (W) through the material joint; a dynamic threshold value (Wdyn) is varied between the minimum threshold value (Wmin) and the maximum threshold value (Wmax); a sequence of regions (B) of the heat flow dynamics (W) through the material joint (4) is determined which represent the values of the heat flow dynamics (W) exceeding the dynamic threshold value (Wdyn); the regions (B) of the heat flow dynamics (W) are examined with respect to an abrupt change in perimeter (ΔU); the molten zone (5) is determined as a region (Bi) from the regions (B), the abrupt change in perimeter (ΔU) indicating that a boundary (7) between the molten zone (5) and the non-molten zone (6) is being crossed; and a position and a size of the molten zone (5) are evaluated.
2. A method according to claim 1 , wherein the minimum threshold value (Wmin) is determined from a reference region (R) of the heat flow dynamics (W) of the image background (H).
3. A method according to claim 1 , wherein the maximum threshold value (Wmax) is determined from a test region (T),
with the test region (T) being located in the center of a region (S) which represents the values of the heat flow dynamics (W) that exceed the minimum threshold value (Wmin); and
with the maximum threshold value (Wmax) being an average value of the values of the heat flow dynamics (W) from the test region (T).
4. A method according to claim 1 , wherein the maximum threshold value (Wmax) is determined from several test regions (T) of the same size, with
the test regions (T) being located in a region (S) which represents the values of the heat flow dynamics (W) exceeding the minimum threshold value (Wmin),
with an average value of the values of the heat flow dynamics (W) being determined for each test region (T) from the test region (T), and
the maximum threshold value (Wmax) being a maximum value of the average values.
5. A method according to claim 1 , wherein the dynamic threshold value (Wdyn) is varied with an increment size (ΔWdyn), the increment size (ΔWdyn) being determined iteratively.
6. A method according to claim 1 , wherein the material joint (4) is a weld point, with the molten zone (5) being referred to as weld nugget and the non-molten zone (6) being referred to as weld glue.
7. A method according to claim 6 , wherein the weld point is evaluated by means of a material characteristic curve (K), with
the characteristic curve (K) being determined by means of reference weld points which have different remaining material thicknesses (M) and interconnect at least two mating parts (2, 3);
the remaining material thickness (M) being measured for each reference weld point;
a peak value of a heat flow dynamics (W) being measured for each reference weld point; and
the characteristic curve (K) being generated from the peak values of the heat flow dynamics (W) and the associated remaining material thicknesses (M).
8. A method according to claim 7 , wherein the maximum threshold value (Wmax) is compared with a first limiting value (G1), with the presence of a hole in the weld point being indicated if said maximum threshold value (Wmax) exceeds said limiting value (G1).
9. A method according to claim 7 , wherein the maximum threshold value (Wmax) is compared with a second limiting value (G2), with the presence of a cavity in the weld point being indicated if said maximum threshold value (Wmax) is less than the second limiting value (G2).
10. A method according to claim 6 , wherein surface damages of the weld point are detected by means of another image, with
the image being provided with a coordinate system which is identical to that of the result image by means of which the weld nugget was detected; and
the detection and evaluation of surface damages taking place in the detected region (Bi) of the weld nugget.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US13/568,039 US20120298870A1 (en) | 2006-12-21 | 2012-08-06 | Method for automated testing of a material joint |
Applications Claiming Priority (5)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE102006061794.0 | 2006-12-21 | ||
DE102006061794A DE102006061794B3 (en) | 2006-12-21 | 2006-12-21 | Welded joint i.e. welded point, checking method, involves examining region from sequence of regions of heat flow dynamic according to sudden extension of its periphery, where welding lens is evaluated according to its position and size |
PCT/EP2007/010800 WO2008077479A1 (en) | 2006-12-21 | 2007-12-11 | Method for the automatic analysis of a material bond |
US52050409A | 2009-06-19 | 2009-06-19 | |
US13/568,039 US20120298870A1 (en) | 2006-12-21 | 2012-08-06 | Method for automated testing of a material joint |
Related Parent Applications (2)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/EP2007/010800 Division WO2008077479A1 (en) | 2006-12-21 | 2007-12-11 | Method for the automatic analysis of a material bond |
US52050409A Division | 2006-12-21 | 2009-06-19 |
Publications (1)
Publication Number | Publication Date |
---|---|
US20120298870A1 true US20120298870A1 (en) | 2012-11-29 |
Family
ID=39186187
Family Applications (2)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US12/520,504 Active 2029-05-06 US8235588B2 (en) | 2006-12-21 | 2007-12-11 | Method for automated testing of a material joint |
US13/568,039 Abandoned US20120298870A1 (en) | 2006-12-21 | 2012-08-06 | Method for automated testing of a material joint |
Family Applications Before (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US12/520,504 Active 2029-05-06 US8235588B2 (en) | 2006-12-21 | 2007-12-11 | Method for automated testing of a material joint |
Country Status (9)
Country | Link |
---|---|
US (2) | US8235588B2 (en) |
EP (1) | EP2102640B1 (en) |
JP (1) | JP5028494B2 (en) |
KR (1) | KR101361013B1 (en) |
AT (1) | ATE486276T1 (en) |
DE (2) | DE102006061794B3 (en) |
ES (1) | ES2351531T3 (en) |
RU (1) | RU2456585C2 (en) |
WO (1) | WO2008077479A1 (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20130148689A1 (en) * | 2011-12-12 | 2013-06-13 | F-Tech Inc. | Non-destructive testing system |
Families Citing this family (53)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
EP1831675A4 (en) * | 2004-12-16 | 2013-09-04 | Atlantic Business Ct Of Excellence And Commercialization Of Innovation Ltd | Method and apparatus for monitoring materials |
DE102007024789B3 (en) * | 2007-05-26 | 2008-10-23 | Trumpf Werkzeugmaschinen Gmbh + Co. Kg | Method for detecting defects in a weld during a laser welding process |
WO2009146359A1 (en) | 2008-05-28 | 2009-12-03 | Illinois Tool Works Inc. | Welding training system |
DE102009031605B4 (en) | 2009-07-03 | 2012-04-12 | INPRO Innovationsgesellschaft für fortgeschrittene Produktionssysteme in der Fahrzeugindustrie mbH | Method for classifying the quality of spot welds of components made of galvanized sheets |
SG10201504489TA (en) | 2010-06-08 | 2015-07-30 | Dcg Systems Inc | Three-dimensional hot spot localization |
TWI460422B (en) | 2010-10-22 | 2014-11-11 | Dcg Systems Inc | Lock in thermal laser stimulation through one side of the device while acquiring lock-in thermal emission images on the opposite side |
DE102011018263B4 (en) * | 2011-04-14 | 2014-02-13 | INPRO Innovationsgesellschaft für fortgeschrittene Produktionssysteme in der Fahrzeugindustrie mbH | Process for the pulse thermographic quality and error classification of a joint connection such as a structural bonding in the automotive bodywork sector |
US9101994B2 (en) | 2011-08-10 | 2015-08-11 | Illinois Tool Works Inc. | System and device for welding training |
WO2013085075A1 (en) * | 2011-12-09 | 2013-06-13 | 本田技研工業株式会社 | Non-destructive inspection method, non-destructive inspection system, and non-destructive inspection control apparatus |
DE102012006472B4 (en) * | 2012-03-22 | 2013-11-21 | Europipe Gmbh | Method for producing welded steel pipes |
US9583014B2 (en) | 2012-11-09 | 2017-02-28 | Illinois Tool Works Inc. | System and device for welding training |
EP2743688B1 (en) * | 2012-12-17 | 2017-05-03 | Thermosensorik Gmbh | Method and system for the examination of a sample by means of thermography |
DE102013000745A1 (en) | 2013-01-17 | 2014-07-17 | Fritz Michel | Non-destructive characterization of point, line-shaped or wave-shaped laser weld seams at overlap joints of ferromagnetic sheets with magnetic method, comprises locally supplying defined magnetic flux into test piece having two sheets |
US9583023B2 (en) | 2013-03-15 | 2017-02-28 | Illinois Tool Works Inc. | Welding torch for a welding training system |
US9672757B2 (en) | 2013-03-15 | 2017-06-06 | Illinois Tool Works Inc. | Multi-mode software and method for a welding training system |
US9666100B2 (en) | 2013-03-15 | 2017-05-30 | Illinois Tool Works Inc. | Calibration devices for a welding training system |
US9728103B2 (en) | 2013-03-15 | 2017-08-08 | Illinois Tool Works Inc. | Data storage and analysis for a welding training system |
US9713852B2 (en) | 2013-03-15 | 2017-07-25 | Illinois Tool Works Inc. | Welding training systems and devices |
US10056010B2 (en) | 2013-12-03 | 2018-08-21 | Illinois Tool Works Inc. | Systems and methods for a weld training system |
US9724788B2 (en) | 2014-01-07 | 2017-08-08 | Illinois Tool Works Inc. | Electrical assemblies for a welding system |
US9589481B2 (en) * | 2014-01-07 | 2017-03-07 | Illinois Tool Works Inc. | Welding software for detection and control of devices and for analysis of data |
US9751149B2 (en) | 2014-01-07 | 2017-09-05 | Illinois Tool Works Inc. | Welding stand for a welding system |
US10105782B2 (en) | 2014-01-07 | 2018-10-23 | Illinois Tool Works Inc. | Feedback from a welding torch of a welding system |
US9757819B2 (en) | 2014-01-07 | 2017-09-12 | Illinois Tool Works Inc. | Calibration tool and method for a welding system |
US10170019B2 (en) | 2014-01-07 | 2019-01-01 | Illinois Tool Works Inc. | Feedback from a welding torch of a welding system |
US10307853B2 (en) | 2014-06-27 | 2019-06-04 | Illinois Tool Works Inc. | System and method for managing welding data |
US9862049B2 (en) | 2014-06-27 | 2018-01-09 | Illinois Tool Works Inc. | System and method of welding system operator identification |
US10665128B2 (en) | 2014-06-27 | 2020-05-26 | Illinois Tool Works Inc. | System and method of monitoring welding information |
US9937578B2 (en) | 2014-06-27 | 2018-04-10 | Illinois Tool Works Inc. | System and method for remote welding training |
US11014183B2 (en) | 2014-08-07 | 2021-05-25 | Illinois Tool Works Inc. | System and method of marking a welding workpiece |
US9724787B2 (en) | 2014-08-07 | 2017-08-08 | Illinois Tool Works Inc. | System and method of monitoring a welding environment |
US9875665B2 (en) | 2014-08-18 | 2018-01-23 | Illinois Tool Works Inc. | Weld training system and method |
US11247289B2 (en) | 2014-10-16 | 2022-02-15 | Illinois Tool Works Inc. | Remote power supply parameter adjustment |
US10239147B2 (en) | 2014-10-16 | 2019-03-26 | Illinois Tool Works Inc. | Sensor-based power controls for a welding system |
US10417934B2 (en) | 2014-11-05 | 2019-09-17 | Illinois Tool Works Inc. | System and method of reviewing weld data |
US10490098B2 (en) | 2014-11-05 | 2019-11-26 | Illinois Tool Works Inc. | System and method of recording multi-run data |
US10204406B2 (en) | 2014-11-05 | 2019-02-12 | Illinois Tool Works Inc. | System and method of controlling welding system camera exposure and marker illumination |
US10210773B2 (en) | 2014-11-05 | 2019-02-19 | Illinois Tool Works Inc. | System and method for welding torch display |
US10402959B2 (en) | 2014-11-05 | 2019-09-03 | Illinois Tool Works Inc. | System and method of active torch marker control |
US10373304B2 (en) | 2014-11-05 | 2019-08-06 | Illinois Tool Works Inc. | System and method of arranging welding device markers |
US10427239B2 (en) | 2015-04-02 | 2019-10-01 | Illinois Tool Works Inc. | Systems and methods for tracking weld training arc parameters |
US10438505B2 (en) | 2015-08-12 | 2019-10-08 | Illinois Tool Works | Welding training system interface |
US10593230B2 (en) | 2015-08-12 | 2020-03-17 | Illinois Tool Works Inc. | Stick welding electrode holder systems and methods |
US10657839B2 (en) | 2015-08-12 | 2020-05-19 | Illinois Tool Works Inc. | Stick welding electrode holders with real-time feedback features |
US10373517B2 (en) | 2015-08-12 | 2019-08-06 | Illinois Tool Works Inc. | Simulation stick welding electrode holder systems and methods |
JP6249009B2 (en) * | 2015-11-12 | 2017-12-20 | 株式会社デンソー | Abnormality diagnosis device |
CA3049647A1 (en) | 2017-01-10 | 2018-07-19 | Sunspring America, Inc. | Optical method for identifying defects on tube surfaces |
RU2676857C1 (en) * | 2018-03-27 | 2019-01-11 | Акционерное общество "Центральный научно-исследовательский институт специального машиностроения" (АО "ЦНИИСМ") | Products continuity automated spatial control method and device for its implementation |
US11288978B2 (en) | 2019-07-22 | 2022-03-29 | Illinois Tool Works Inc. | Gas tungsten arc welding training systems |
US11776423B2 (en) | 2019-07-22 | 2023-10-03 | Illinois Tool Works Inc. | Connection boxes for gas tungsten arc welding training systems |
DE102020101422B4 (en) | 2020-01-22 | 2023-10-12 | Bayerische Motoren Werke Aktiengesellschaft | Method for the automated measurement of welding lenses of a component manufactured in the laser powder bed fusion process |
KR102518051B1 (en) * | 2021-12-14 | 2023-04-07 | (주)에이치씨엔씨 | Method for detecting defect of spot welding employing sensor convolution |
KR102518045B1 (en) * | 2021-12-14 | 2023-04-06 | (주)에이치씨엔씨 | Method for detecting defect of spot welding employing IR camera |
Citations (28)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US3648009A (en) * | 1969-05-06 | 1972-03-07 | Karl Heinz Steigerwald | Method and device for inspecting and/or controlling thermally produced mechanical joints |
US3824368A (en) * | 1971-12-30 | 1974-07-16 | Avco Corp | Laser welding |
US4083223A (en) * | 1975-11-11 | 1978-04-11 | Nissan Motor Company, Limited | Nondestructive inspection method for spot-welded joints |
US4168430A (en) * | 1976-11-17 | 1979-09-18 | Societe Nationale Industrielle Aerospatiale | Process and apparatus for monitoring the quality of weld spots produced by resistance spot welding |
US4170143A (en) * | 1976-08-11 | 1979-10-09 | Mannesmann Aktiengesellschaft | Recognizing ultrasonic response signals during testing of structural materials |
US4214164A (en) * | 1978-07-19 | 1980-07-22 | Vanzetti Infrared & Computer System Incorporated | Control of spot weld quality by infrared thermal sensing |
US4481418A (en) * | 1982-09-30 | 1984-11-06 | Vanzetti Systems, Inc. | Fiber optic scanning system for laser/thermal inspection |
JPS6056484A (en) * | 1983-09-06 | 1985-04-02 | Mitsubishi Electric Corp | Method for determining welding length of welding robot |
US4854724A (en) * | 1984-07-09 | 1989-08-08 | Lockheed Corporation | Method of and apparatus for thermographic evaluation of spot welds |
US4877940A (en) * | 1987-06-30 | 1989-10-31 | Iit Research Institute | Using infrared imaging to monitor and control welding |
EP0512972A2 (en) * | 1991-05-06 | 1992-11-11 | CENTRE DE RECHERCHES METALLURGIQUES CENTRUM VOOR RESEARCH IN DE METALLURGIE Association sans but lucratif | Method of monitoring a butt weld between metal strips |
JPH0763694A (en) * | 1993-08-27 | 1995-03-10 | Hosei Brake Kogyo Kk | Nondestructive inspection apparatus for spot-welded part |
US5481091A (en) * | 1992-01-15 | 1996-01-02 | Edison Welding Institute | Thermoplastic welding |
US5552575A (en) * | 1994-07-15 | 1996-09-03 | Tufts University | Scan welding method and apparatus |
WO1999010733A1 (en) * | 1997-08-26 | 1999-03-04 | Thermal Wave Imaging, Inc. | Method for nondestructive evaluation of a weld |
US6177649B1 (en) * | 1998-02-05 | 2001-01-23 | Sollac | Method and apparatus for regulating the position of a camera in a thermal control system for welding |
US6294753B1 (en) * | 1998-10-26 | 2001-09-25 | Matsushita Electric Industrial Co., Ltd. | Resistance welding machine control method |
US6394646B1 (en) * | 1999-04-16 | 2002-05-28 | General Electric Company | Method and apparatus for quantitative nondestructive evaluation of metal airfoils using high resolution transient thermography |
US6555780B1 (en) * | 2001-11-28 | 2003-04-29 | Korea Atomic Energy Research Institute | Method for monitoring the size variation and the focus shift of a weld pool in laser welding |
US6585146B2 (en) * | 2000-01-06 | 2003-07-01 | Thermal Wave Imaging, Inc. | Automated non-destructive weld evaluation method and apparatus |
US20030193987A1 (en) * | 2002-04-10 | 2003-10-16 | Zalameda Joseph N. | Synchronized electronic shutter system and method for thermal nondestructive evaluation |
US20040081221A1 (en) * | 2001-01-26 | 2004-04-29 | Rolf Sandvoss | Thermography method |
US20050147150A1 (en) * | 2003-07-16 | 2005-07-07 | Wickersham Charles E.Jr. | Thermography test method and apparatus for bonding evaluation in sputtering targets |
US20060011592A1 (en) * | 2004-07-14 | 2006-01-19 | Pei-Chung Wang | Laser welding control |
US7083327B1 (en) * | 1999-04-06 | 2006-08-01 | Thermal Wave Imaging, Inc. | Method and apparatus for detecting kissing unbond defects |
US20100163732A1 (en) * | 2007-07-04 | 2010-07-01 | Thermosensorik Gmbh | Method for the automatic inspection of a welding seam by means of heat flow thermography |
US20140095096A1 (en) * | 2012-10-03 | 2014-04-03 | Edison Welding Institute, Inc. | Non-destructive thermographic weld inspection |
US20140175071A1 (en) * | 2011-06-29 | 2014-06-26 | Trumpf Laser - Und Systemtechnik Gmbh | Method for Detecting Defects During a Laser-Machining Process and Laser-Machining Device |
Family Cites Families (24)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
SU692707A1 (en) * | 1977-06-20 | 1979-10-25 | Предприятие П/Я А-3959 | Apparatus for monitoring the quality of resistance spot welding by welding machine electrode motion |
US4611111A (en) * | 1985-01-22 | 1986-09-09 | General Electric Company | Method to determine weld puddle area and width from vision measurements |
US4792683A (en) * | 1987-01-16 | 1988-12-20 | Hughes Aircraft Company | Thermal technique for simultaneous testing of circuit board solder joints |
US5250809A (en) * | 1992-01-24 | 1993-10-05 | Shuji Nakata | Method and device for checking joint of electronic component |
US5292195A (en) * | 1992-09-09 | 1994-03-08 | Martin Marietta Corporation | Thermographic evaluation technique |
JPH0792403B2 (en) * | 1993-04-16 | 1995-10-09 | 三井東圧化学株式会社 | Temperature measurement method and nondestructive defect inspection method |
JPH0735620A (en) * | 1993-07-16 | 1995-02-07 | Mitsui Toatsu Chem Inc | Temperature measuring method and non-destructive defect inspection method |
DE4328363C2 (en) * | 1993-08-24 | 1995-06-08 | Siemens Ag | Method for determining an evaluation time interval and method for quality evaluation of a spot weld connection on the basis of a temperature profile in the evaluation time interval |
JP2725582B2 (en) * | 1993-12-27 | 1998-03-11 | 日本鋼管株式会社 | Nugget diameter measurement method for spot welding |
JP3271861B2 (en) * | 1994-10-21 | 2002-04-08 | 小原株式会社 | Nugget measurement method for spot welds |
US5775806A (en) * | 1996-09-12 | 1998-07-07 | The United States Of America As Represented By The Secretary Of The Air Force | Infrared assessment system |
JPH11138291A (en) * | 1997-11-06 | 1999-05-25 | Honda Motor Co Ltd | Welding quality judging device in welding equipment |
US6574565B1 (en) * | 1998-09-15 | 2003-06-03 | Ronald R. Bush | System and method for enhanced hydrocarbon recovery |
JP3186721B2 (en) * | 1998-12-07 | 2001-07-11 | 三菱電機株式会社 | Welding quality judging device and welding machine equipped with the same |
JP4663941B2 (en) | 1999-09-16 | 2011-04-06 | ウェイン・ステイト・ユニバーシティ | Compact non-contact acoustic infrared device for remote non-destructive inspection |
JP2001249052A (en) | 2000-03-06 | 2001-09-14 | Chubu Electric Power Co Inc | Infrared thermography using differential image processing |
JP4140218B2 (en) * | 2001-08-28 | 2008-08-27 | 松下電工株式会社 | Inspection method and apparatus for laser welds |
DE10150633C5 (en) * | 2001-10-12 | 2014-09-04 | Thermosensorik Gmbh | Method and device for non-contact, non-destructive automatic testing of material connections, in particular the quality control of welded joints |
US6940037B1 (en) * | 2003-08-25 | 2005-09-06 | Southern Methodist University | System and method for controlling welding parameters in welding-based deposition processes |
US7473028B1 (en) * | 2005-04-22 | 2009-01-06 | The Ohio State University | Method and device for investigation of phase transformations in metals and alloys |
DE102007024789B3 (en) * | 2007-05-26 | 2008-10-23 | Trumpf Werkzeugmaschinen Gmbh + Co. Kg | Method for detecting defects in a weld during a laser welding process |
US8354608B2 (en) * | 2009-05-14 | 2013-01-15 | B6 Sigma, Inc. | Methods for control of a fusion welding process by maintaining a controlled weld pool volume |
AU2011233678B2 (en) * | 2010-03-31 | 2015-01-22 | Sciaky, Inc. | Raster methodology, apparatus and system for electron beam layer manufacturing using closed loop control |
DE102010024134B4 (en) * | 2010-06-17 | 2012-07-12 | INPRO Innovationsgesellschaft für fortgeschrittene Produktionssysteme in der Fahrzeugindustrie mbH | Method for the non-destructive testing of at least partially open hollow-shaped components or system components for leak-tightness in series production |
-
2006
- 2006-12-21 DE DE102006061794A patent/DE102006061794B3/en not_active Expired - Fee Related
-
2007
- 2007-12-11 KR KR1020097015048A patent/KR101361013B1/en active IP Right Grant
- 2007-12-11 WO PCT/EP2007/010800 patent/WO2008077479A1/en active Application Filing
- 2007-12-11 EP EP07856550A patent/EP2102640B1/en not_active Not-in-force
- 2007-12-11 DE DE502007005501T patent/DE502007005501D1/en active Active
- 2007-12-11 JP JP2009541830A patent/JP5028494B2/en not_active Expired - Fee Related
- 2007-12-11 US US12/520,504 patent/US8235588B2/en active Active
- 2007-12-11 AT AT07856550T patent/ATE486276T1/en active
- 2007-12-11 ES ES07856550T patent/ES2351531T3/en active Active
- 2007-12-11 RU RU2009126630/28A patent/RU2456585C2/en not_active IP Right Cessation
-
2012
- 2012-08-06 US US13/568,039 patent/US20120298870A1/en not_active Abandoned
Patent Citations (28)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US3648009A (en) * | 1969-05-06 | 1972-03-07 | Karl Heinz Steigerwald | Method and device for inspecting and/or controlling thermally produced mechanical joints |
US3824368A (en) * | 1971-12-30 | 1974-07-16 | Avco Corp | Laser welding |
US4083223A (en) * | 1975-11-11 | 1978-04-11 | Nissan Motor Company, Limited | Nondestructive inspection method for spot-welded joints |
US4170143A (en) * | 1976-08-11 | 1979-10-09 | Mannesmann Aktiengesellschaft | Recognizing ultrasonic response signals during testing of structural materials |
US4168430A (en) * | 1976-11-17 | 1979-09-18 | Societe Nationale Industrielle Aerospatiale | Process and apparatus for monitoring the quality of weld spots produced by resistance spot welding |
US4214164A (en) * | 1978-07-19 | 1980-07-22 | Vanzetti Infrared & Computer System Incorporated | Control of spot weld quality by infrared thermal sensing |
US4481418A (en) * | 1982-09-30 | 1984-11-06 | Vanzetti Systems, Inc. | Fiber optic scanning system for laser/thermal inspection |
JPS6056484A (en) * | 1983-09-06 | 1985-04-02 | Mitsubishi Electric Corp | Method for determining welding length of welding robot |
US4854724A (en) * | 1984-07-09 | 1989-08-08 | Lockheed Corporation | Method of and apparatus for thermographic evaluation of spot welds |
US4877940A (en) * | 1987-06-30 | 1989-10-31 | Iit Research Institute | Using infrared imaging to monitor and control welding |
EP0512972A2 (en) * | 1991-05-06 | 1992-11-11 | CENTRE DE RECHERCHES METALLURGIQUES CENTRUM VOOR RESEARCH IN DE METALLURGIE Association sans but lucratif | Method of monitoring a butt weld between metal strips |
US5481091A (en) * | 1992-01-15 | 1996-01-02 | Edison Welding Institute | Thermoplastic welding |
JPH0763694A (en) * | 1993-08-27 | 1995-03-10 | Hosei Brake Kogyo Kk | Nondestructive inspection apparatus for spot-welded part |
US5552575A (en) * | 1994-07-15 | 1996-09-03 | Tufts University | Scan welding method and apparatus |
WO1999010733A1 (en) * | 1997-08-26 | 1999-03-04 | Thermal Wave Imaging, Inc. | Method for nondestructive evaluation of a weld |
US6177649B1 (en) * | 1998-02-05 | 2001-01-23 | Sollac | Method and apparatus for regulating the position of a camera in a thermal control system for welding |
US6294753B1 (en) * | 1998-10-26 | 2001-09-25 | Matsushita Electric Industrial Co., Ltd. | Resistance welding machine control method |
US7083327B1 (en) * | 1999-04-06 | 2006-08-01 | Thermal Wave Imaging, Inc. | Method and apparatus for detecting kissing unbond defects |
US6394646B1 (en) * | 1999-04-16 | 2002-05-28 | General Electric Company | Method and apparatus for quantitative nondestructive evaluation of metal airfoils using high resolution transient thermography |
US6585146B2 (en) * | 2000-01-06 | 2003-07-01 | Thermal Wave Imaging, Inc. | Automated non-destructive weld evaluation method and apparatus |
US20040081221A1 (en) * | 2001-01-26 | 2004-04-29 | Rolf Sandvoss | Thermography method |
US6555780B1 (en) * | 2001-11-28 | 2003-04-29 | Korea Atomic Energy Research Institute | Method for monitoring the size variation and the focus shift of a weld pool in laser welding |
US20030193987A1 (en) * | 2002-04-10 | 2003-10-16 | Zalameda Joseph N. | Synchronized electronic shutter system and method for thermal nondestructive evaluation |
US20050147150A1 (en) * | 2003-07-16 | 2005-07-07 | Wickersham Charles E.Jr. | Thermography test method and apparatus for bonding evaluation in sputtering targets |
US20060011592A1 (en) * | 2004-07-14 | 2006-01-19 | Pei-Chung Wang | Laser welding control |
US20100163732A1 (en) * | 2007-07-04 | 2010-07-01 | Thermosensorik Gmbh | Method for the automatic inspection of a welding seam by means of heat flow thermography |
US20140175071A1 (en) * | 2011-06-29 | 2014-06-26 | Trumpf Laser - Und Systemtechnik Gmbh | Method for Detecting Defects During a Laser-Machining Process and Laser-Machining Device |
US20140095096A1 (en) * | 2012-10-03 | 2014-04-03 | Edison Welding Institute, Inc. | Non-destructive thermographic weld inspection |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20130148689A1 (en) * | 2011-12-12 | 2013-06-13 | F-Tech Inc. | Non-destructive testing system |
US9261473B2 (en) * | 2011-12-12 | 2016-02-16 | Honda Motor Co., Ltd. | Non-destructive testing system |
Also Published As
Publication number | Publication date |
---|---|
KR20090104037A (en) | 2009-10-05 |
US20100091812A1 (en) | 2010-04-15 |
EP2102640A1 (en) | 2009-09-23 |
US8235588B2 (en) | 2012-08-07 |
JP2010513883A (en) | 2010-04-30 |
DE502007005501D1 (en) | 2010-12-09 |
RU2009126630A (en) | 2011-01-27 |
EP2102640B1 (en) | 2010-10-27 |
RU2456585C2 (en) | 2012-07-20 |
ES2351531T3 (en) | 2011-02-07 |
DE102006061794B3 (en) | 2008-04-30 |
JP5028494B2 (en) | 2012-09-19 |
KR101361013B1 (en) | 2014-02-10 |
WO2008077479A1 (en) | 2008-07-03 |
ATE486276T1 (en) | 2010-11-15 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US8235588B2 (en) | Method for automated testing of a material joint | |
JP6771684B2 (en) | Laser processing equipment | |
US8541746B2 (en) | Process and system for the nondestructive quality determination of a weld seam, and a welding device | |
JP5459922B2 (en) | Method and apparatus for measuring process parameters of a material processing process | |
CN108778606A (en) | Fire check identification in laser welding | |
KR102235832B1 (en) | Portable type welding inspection appatatus and inspection method | |
KR20100054783A (en) | Method for the automatic inspection of a welding seam using heat flow thermography | |
WO2015151574A1 (en) | Laser weld quality determination method and laser welding device provided with quality determination mechanism | |
US20230201956A1 (en) | Method for analyzing a laser machining process, system for analyzing a laser machining process, and laser machining system comprising such a system | |
JP4876599B2 (en) | Quality detection method and apparatus for butt welds | |
JP2003065985A (en) | Method for inspecting laser welding part and apparatus therefor | |
JP4187818B2 (en) | Inspection method of welding state | |
Rodríguez-Martín et al. | Crack-depth prediction in steel based on cooling rate | |
JPH0763694A (en) | Nondestructive inspection apparatus for spot-welded part | |
JP5161630B2 (en) | Inspection method | |
JP5909874B2 (en) | Welding defect detection system for ERW pipe and method for manufacturing ERW pipe | |
JP2000039308A (en) | Method for measuring dynamic strain of welding part | |
JP2967671B2 (en) | Monitoring device for welding status | |
Forejtová et al. | Non-destructive inspection by infrared thermography of resistance spot welds used in automotive industry | |
JP2000015474A (en) | Inspecting method of weld zone in welded tube | |
CN113714635A (en) | Laser processing apparatus | |
KR100325353B1 (en) | An apparatus and method of estimating welding quality by detecting width of the heat effective region in a flash butt welding device | |
JP5133651B2 (en) | Laser welding evaluation method | |
JPH08215868A (en) | Method and device for monitoring welding | |
Bracun et al. | Indentation shape parameters as indicators of spot weld quality |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
STCB | Information on status: application discontinuation |
Free format text: ABANDONED -- FAILURE TO RESPOND TO AN OFFICE ACTION |