CN101907492A - Object emission spectrum-based temperature measurement method - Google Patents

Object emission spectrum-based temperature measurement method Download PDF

Info

Publication number
CN101907492A
CN101907492A CN 201010229117 CN201010229117A CN101907492A CN 101907492 A CN101907492 A CN 101907492A CN 201010229117 CN201010229117 CN 201010229117 CN 201010229117 A CN201010229117 A CN 201010229117A CN 101907492 A CN101907492 A CN 101907492A
Authority
CN
China
Prior art keywords
temperature
spectrum
under test
emission spectrum
change curve
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.)
Pending
Application number
CN 201010229117
Other languages
Chinese (zh)
Inventor
姚建华
苗建明
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhejiang University of Technology ZJUT
Original Assignee
Zhejiang University of Technology ZJUT
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Zhejiang University of Technology ZJUT filed Critical Zhejiang University of Technology ZJUT
Priority to CN 201010229117 priority Critical patent/CN101907492A/en
Publication of CN101907492A publication Critical patent/CN101907492A/en
Pending legal-status Critical Current

Links

Images

Abstract

The invention discloses an object emission spectrum-based temperature measurement method, which comprises the following steps of: (1) acquiring continuous spectrums emitted by an object to be measured at a certain temperature by using a spectrograph and filtering and smoothing the continuous spectrums; and (2) acquiring an ln (E(lambda, T)lambda5) related variation curve according to the spectrum data in a spectrum width range of 50 to 150 nanometers, solving the slope A of the variation curve by adopting a linear fitting method, and acquiring the temperature T of the object to be measured according to an equation, wherein E(lambda, T) is the spectral intensity, lambda is the radiation wavelength, T is the temperature of the object, and c2=1.43879*10<-2>m/K is the second radiation constant. The method improves the accuracy and universality of temperature measurement.

Description

A kind of thermometry based on object emission spectrum
(1) technical field
The invention belongs to the temperature measurement technology field, relate to a kind of thermometry of object, be particularly useful for the measurement of high temp objects temperature in laser manufacturing and the manufacture process again.
(2) background technology
Temperature is as laser manufacturing and important parameter in the manufacture process again thereof, in the molten bath, all there is important role the control of crystal grain and the aspects such as mechanical property of material.At present the metering system of temperature is divided into two kinds of contact temperature-measuring and contactless temperature-measurings in the laser fabrication process.Thermopair is as the main mode of present contact temperature-measuring, but it has following several shortcoming: at first, the method has certain hysteresis quality, can only realize the discontinuous measurement of temperature; Secondly, the position and the degree of depth that thermopair inserts are judged that by experience therefore certain randomness arranged; Moreover, when a metal material is uninterruptedly repeated thermal treatment, can't in time change thermopair; Last thermopair costs an arm and a leg, and consumes rapidly.
Non-contact temperature measuring is then based on radiation temperature measurement.Present radiation temperature measurement mainly contains brightness method, radiation method, colourimetry, multi-wavelength method etc., introduce respectively below the whole bag of tricks and with difference of the present invention.
The eyes of 1, brightness method and radiation method personnel selection or photomultiplier are for accepting device, whether the standard of comparison spectrum line equates with tested spectrum line or is proportional under specific wavelength, thereby judges temperature (for example people such as people such as Chinese Academy of Sciences's environmental optics and technology key lab Liu Zhiming " based on the heat radiator remote temperature sensing Study of New Method of Fourier transform infrared spectroscopy " and the Wang Feng of Institutes Of Technology Of Hebei " application of infrared temperature-test technology in high-temp liquid continuous temperature measurement system " etc.).But the as easy as rolling off a log environmental impact that is subjected to of this method, error is very big.This method computation process is very complicated simultaneously, can't further promote.
2, colourimetry (duochrome method) is by selected two special modalities, thereby asks the ratio of its light intensity to reach the purpose of eliminating environmental impact and emissivity.This method research at present is very ripe, be mainly used in the temperature of measuring boiler furnace flame (for example: people's such as the few brightness of Lee of Beijing Institute of Technology " the image colourimetry is in the real-time Study of Monitoring in furnace flame temperature field ", people's such as the people's such as Jiang Shujuan of Shenyang robotization research institute of the Chinese Academy of Sciences " utilizing the image colourimetry to carry out the research that the laser molten pool temperature field is detected in real time " and the Jiang Zhi of the Central China University of Science and Technology are big " based on the flame temperature and the radiance image detection method of Flame Image Process " etc.).But this method still has certain defective, is mainly derived from: (1) colourimetry its selection principle when selecting two wavelength comparing conflicts mutually with the data processing principle; (2) condition set up of this method is that the emissivity of object under test does not change (that is: object is absolute grey body or is approximately grey body) with wavelength change, so certain use restriction is arranged in actual conditions; When (3) to one in the dual wavelength strong absorption being arranged as if the medium between measuring instrument and testee, then the method can't be used.
3, multi-wavelength (multispectral) thermometry is comparatively a kind of method of main flow of present conceptual phase.This method is by supposition emissivity model, be taken in the relation of spectral intensity and temperature, utilize the spectral signal of the object under test of multi-channel spectrometer based collection then, progressively return at last and obtain emissivity and temperature (for example Harbin Institute of Technology wears the scape people, Sun Xiao just waited the people's " measurement of multi-wavelength method metal solar heat protection watt surface temperature and emissivity ", " research of multispectral thermometry modeling method ", Northwestern Polytechnical University once learnt military affairs etc. people " the multispectral survey technical research of material surface temperature " and people's such as the Cheng Xiao of Chinese science and technology technology university boat " based on the structure research of the temperature survey equation of radiation ").The method equally also has certain error, is mainly derived from: the emissivity model of (1) supposition just could be similar within the specific limits and meets truth, and this model is not suitable all things, and certain limitation is arranged; (2) the method also is to accept absolute light intensity, thus be subjected to environmental impact easily, and after changing the work-yard, need again it to be debugged.
(3) summary of the invention
In order to solve above-mentioned technical matters, the purpose of this invention is to provide a kind of thermometry based on object emission spectrum, rationally select for use light intensity, wavelength and temperature relation as the data processing foundation, reduce of the influence of the emissivity of object to measurement result, gather more DATA REASONING dot information to improve antijamming capability, be not subjected to the influence of testee material, thereby improve thermometric accuracy and universality.
To achieve the above object, the present invention has adopted following technical scheme:
A kind of thermometry based on object emission spectrum comprises the steps:
(1) utilizes spectrometer to gather continuous spectrum that the object under test under certain temperature sends and this continuous spectrum is carried out filtering and smoothing processing;
(2) obtain ln (E (λ, T) λ according to the spectroscopic data in 50~150nm spectral width scope 5) about
Figure BDA0000023406760000031
Change curve and adopt linear fit method to obtain the slope A of this change curve, again according to equation
A = - c 2 T
Obtain the object under test temperature T; Wherein, (λ T) is spectral intensity to E, and λ is a radiation wavelength, and T is an object temperature, c 2=1.43879 * 10 -2M/K is a second radiation constant.Described spectral intensity and radiation wavelength are the result who records in the spectrometer.
The ultimate principle of heat radiation thermometric is based on blackbody radiation law, and promptly temperature is that spectrum and the T that the black matrix of T sends has certain relation, and its spectral intensity is provided by planck formula:
E(λ,T)=2hc 2λ -5(e hc/λkT-1) -1 (1)
For general object, following formula then is converted to as follows:
E(λ,T)=ε(λ,T)2hc 2λ -5(e hc/λKT-1) -1 (2)
(λ T) is the spectral emittance of object to ε in the formula, and its value is the function of object temperature and radiation spectrum wavelength.λ is a radiation wavelength, and T is an object temperature, and c is the light velocity in the vacuum, h=6.6261 * 10 -34Js is a Planck's constant, k=1.3807 * 10 -23JK -1Be Boltzmann constant.
In actual measurement, when (λ T)<<1 of object, promptly available Wien formula replaces planck formula, and is as follows:
E ( &lambda; , T ) = &epsiv; ( &lambda; , T ) c 1 &lambda; - 5 ( e - c 2 / &lambda;T ) - 1 - - - ( 3 )
C in the formula 1=3.7415 * 10 -16Wm 2Be first radiation constant, c 2=1.43879 * 10 -2M/K is a second radiation constant.Because temperature is staggered in spectral emittance in the following formula, therefore can't accurately know under the situation of emissivity the very big error of the certain existence of temperature survey.To following formula transposition and to get with e be can get behind the end logarithm:
ln ( E ( &lambda; , t ) &CenterDot; &lambda; 5 ) = - c 2 T &CenterDot; 1 &lambda; + ln c 1 + ln &epsiv; ( &lambda; , T ) - - - ( 4 )
In the formula (4), comprise the afterbody that the emissivity item is moved to equation separately, separate, reduced thermometric error with wavelength; And in 50~150nm wavelength width scope, (λ is T) with ln (E (λ, T) λ to comprise emissivity item ln ε 5) value compares very for a short time, can ignore; Therefore, by formula (4) equation left side ln (E (λ, T) λ as can be seen 5) with
Figure BDA0000023406760000043
Linear, and its slope is the c of inverse temperature 2Doubly.Like this, only need to record the wavelength and the light intensity value thereof of a plurality of measurement points in certain wavelength width scope, just can obtain the equation slope by spectrometer
Figure BDA0000023406760000044
Can try to achieve object temperature T.
Further, the technical program is particularly suitable for the thermometric in laser manufacturing and the manufacture process again, and the object under test temperature range is at 1400~1900 ℃.For lower temperature, can record by the spectrometer that adopts the different-waveband measurement range.
The present invention need carry out filtering and smoothing processing by the continuous spectrum that spectrometer collects, and the Filtering Processing that the present invention adopts is by using MATLAB that filtering parameter is set, the high frequency noise in the original spectrum being removed.The filtering method that other are conventional can also be obtained effect.Smoothing processing of the present invention is to adopt least square method that the spectral signal that filters out behind the high frequency noise is carried out match, the result that different approximating methods obtains as long as and the original spectrum shape coincide substantially and can meet the demands.
Further, in order to guarantee to measure accurately above-mentioned steps 2) preferably obtain ln (E (λ, T) λ according to the spectroscopic data in 80~120nm (more preferably 100nm) spectral width scope 5) about
Figure BDA0000023406760000045
Change curve and adopt linear fit method to obtain the slope A of this change curve, and then obtain object temperature T.
Step of the present invention (2) does not have special requirement for the selection of concrete spectrum section on continuous spectrum, but should avoid selecting the spectroscopic data at two ends, the left and right sides as far as possible after definite spectral width scope.
The present invention has reasonably selected spectral intensity and the temperature relation processing foundation as data for use in order to obtain the temperature of object more simply; Consider of the influence of the emissivity of object in the measurement to measurement result, this equation has been carried out the mathematics manipulation that logarithm is asked in transposition, emissivity moves on to the afterbody about the linear equation of spectral intensity and wavelength the most at last, so just can make emissivity that the influence of equation slope is reduced (slope of equation is the inverse of temperature) greatly; The present invention simultaneously has stronger antijamming capability so absorb the measurement point that distorts for one or several selection owing to medium, thereby improves thermometric accuracy and universality owing to collected more DATA REASONING dot information.Comparatively speaking:
A) than brightness method and radiation method thermometric, the present invention is owing to adopt spectrometer as receiving element, and according to the actual conditions of this method application, the physical relation that adopts spectral intensity and temperature is calculated and is found the solution recording data, so have higher measuring accuracy and measuring process simple than traditional brightness method and radiation method.
B) than the colourimetry thermometric of present maturation, the present invention has better universality and accuracy.At first, because the present invention has reduced the influence of emissivity variation to measurement result to a great extent, thereby need not to consider in the colourimetry, when selecting two wave bands comparing, the selection of its wave band and the afoul problem of data processing principle need not also to consider whether object under test is grey body or is approximately grey body; Secondly because the selected measurement point distribution range of the present invention is compared extensively, number is many, so some there is very strong anti-interference owing to being subjected to the measurement point that the environmental selection absorption distorts.
C) with respect to the multi-wavelength thermometry, the present invention transplants and the processing of taking the logarithm by the physical relation to spectral intensity and temperature relation, greatly reduced of the influence of emissivity uncertainty to the linear equation slope, also need not optionally to consider material, and then improved thermometric accuracy and universality.
(4) description of drawings
Fig. 1 is the experimental provision structural representation of embodiment 1;
Fig. 2 is the original spectrum distribution plan of embodiment 1;
Fig. 3 is sample spectrum design sketch after ripple and the smoothing processing after filtration among the embodiment 1;
Fig. 4 is whole sample spectrum design sketch after ripple and the smoothing processing after filtration among the embodiment 1;
Fig. 5 (a), Fig. 5 (b), Fig. 5 (c) are respectively ln (E (λ, T) λ of three sample spectrum 5) with Linear relationship chart, the object sample of 1630 ℃ of 5 (a) expressions wherein, the object sample that 5 (b) expression is 1700 ℃, the object sample that 5 (c) expression is 1870 ℃.
(5) embodiment
Below in conjunction with accompanying drawing the specific embodiment of the present invention is made a detailed explanation, but protection scope of the present invention is not limited thereto.
Embodiment 1:
The experimental provision that present embodiment adopts as shown in Figure 1, wherein, heating part adopts the high-power CO2 laser instrument of 7KW 3 as heating source, with common 45# steel as measured material.In order to obtain temperature rising curve stably, it is too fast to prevent that temperature from rising in the measuring process, and the output power of laser instrument is set at 750W, and the prolonged exposure same point.Adopt fiber spectrometer 1 to gather spectrum, it gathers wave band is 400nm~950nm.For preventing that flue gas is to the influence of spectral intensity, in the other smoking system 5 that settled of measured material in the heating process.Adopt thermopair 7 to combine in the experiment with infrared thermography instrument 4, utilize thermopair that the infrared thermography instrument is replenished the checking way and obtain the degree of accuracy of true temperature with check spectrometer measurement system: promptly the opposite side at spectrometer assembles a support, a German Metis infrared thermography instrument 4 is fixed on it, the measurement point of infrared thermography instrument 4 is overlapped with the measurement point of the fiber-optical probe 2 of LASER HEATING point (molten bath 6) and spectrometer, meanwhile, go into a thermopair 7 in that the back side of LASER HEATING point identical point is buried, in conjunction with the electric thermo-couple temperature upcurve, from the infrared thermography instrument curve of cyclical fluctuations, draw the true temperature of LASER HEATING point when measuring beginning.This experiment adopts computing machine 8 to carry out data processing.
Experimentation is as follows:
Choose 11 measured temperatures according to the reading on the infrared thermography instrument, record spectral intensity and temperature separately obtained 11 sample spectrum so altogether respectively, and range of temperature is from 1530 ℃ to 1900 ℃.The wavelength coverage of spectrum is from 400 to 950nm, and corresponding original spectrum as shown in Figure 2; Owing to be subjected to the influence of external environment, each spectral distribution curve is mixing ground unrest and high frequency noise among Fig. 2, therefore measure in order to obtain more exactly, must carry out the denoising smoothing processing to it, present embodiment adopts the MATLAB filter function that the spectrum samples data are carried out filtering, uses the high-order Gaussian curve to its match after the filtering again, effect as shown in Figure 3, adopt this kind method smoothing processing, can obtain the good treatment effect, Fig. 4 is 11 design sketchs after the spectrum samples data smoothing.In order to find out ln (E (λ, T) λ from equation (4) two sides more intuitively 5) with
Figure BDA0000023406760000071
Linear relationship, use the visuality of MATLAB, to equation (4) mapping, obtain Fig. 5; By Fig. 5 can visually see ln (E (λ, T) λ 5) with Between exist linear relationship, and its slope is a negative value, in fact also be, (600~700nm) linearly dependent coefficient values are all more than 90% in the radiation wavelength scope of choosing, so good linear dependence is arranged, the cftool tool box is to ln (E (λ, T) λ of 11 spectrum samples among the employing MATLAB 5) about
Figure BDA0000023406760000073
Change curve (the radiation wavelength scope of choosing is 600~700nm) to carry out linear fit (least square fitting) and try to achieve fit slope, can obtain object temperature by this slope.Measurement result and measuring error are as shown in table 1 below:
Table 1
Sample 1 2 3 4 5 6 7 8 9 10 11
True temperature 1530 1550 1630 1650 1700 1720 1750 1800 1830 1870 1900
Measure temperature 1510 1567 1641 1678 1669 1681 1772 1834 1863 1873 1958
Measuring error 20 17 11 28 31 39 22 34 33 3 58
Last table has reflected thermometric error in the test, as can be seen experiment error range between-40-60 ℃, number percent is less than 3%, and the requirement to the error of temperature is in 5% in the actual production practice, this shows that this method can satisfy actual needs.

Claims (4)

1. the thermometry based on object emission spectrum comprises the steps:
(1) utilizes spectrometer to gather continuous spectrum that the object under test under certain temperature sends and this continuous spectrum is carried out filtering and smoothing processing;
(2) obtain ln (E (λ, T) λ according to the spectroscopic data in 50~150nm spectral width scope 5) about
Figure FDA0000023406750000011
Change curve and adopt linear fit method to obtain the slope A of this change curve, again according to equation
A = - c 2 T
Obtain the object under test temperature T; Wherein, (λ T) is spectral intensity to E, and λ is a radiation wavelength, and T is the object under test temperature, c 2=1.43879 * 10 -2M/K is a second radiation constant.
2. the thermometry based on object emission spectrum according to claim 1 is characterized in that: described step 2), obtain ln (E (λ, T) λ according to the spectroscopic data in 80~120nm spectral width scope 5) about
Figure FDA0000023406750000013
Change curve and adopt linear fit method to obtain the slope A of this change curve, and then obtain the object under test temperature T.
3. the thermometry based on object emission spectrum according to claim 1 is characterized in that: described step 2), obtain ln (E (λ, T) λ according to the spectroscopic data in the 100nm spectral width scope 5) about
Figure FDA0000023406750000014
Change curve and adopt linear fit method to obtain the slope A of this change curve, and then obtain the object under test temperature T.
4. the thermometry based on object emission spectrum according to claim 1 is characterized in that: the temperature of described object under test is at 1400 ℃~1900 ℃.
CN 201010229117 2010-07-16 2010-07-16 Object emission spectrum-based temperature measurement method Pending CN101907492A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN 201010229117 CN101907492A (en) 2010-07-16 2010-07-16 Object emission spectrum-based temperature measurement method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN 201010229117 CN101907492A (en) 2010-07-16 2010-07-16 Object emission spectrum-based temperature measurement method

Publications (1)

Publication Number Publication Date
CN101907492A true CN101907492A (en) 2010-12-08

Family

ID=43263015

Family Applications (1)

Application Number Title Priority Date Filing Date
CN 201010229117 Pending CN101907492A (en) 2010-07-16 2010-07-16 Object emission spectrum-based temperature measurement method

Country Status (1)

Country Link
CN (1) CN101907492A (en)

Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102353457A (en) * 2011-06-27 2012-02-15 北京理工大学 Distributed spectrum temperature measuring device for cloud and mist explosion field
CN102620841A (en) * 2012-03-14 2012-08-01 长春理工大学 Transient temperature measuring and inverting system based on spectrum technology
WO2015161727A1 (en) * 2014-04-25 2015-10-29 天津送变电易通电力科技有限公司 Method for measuring actual temperature of flame using all information about radiation spectrum and measurement system
CN106768366A (en) * 2017-01-12 2017-05-31 杭州电子科技大学 A kind of utilization micro spectrometer measures the method and device of high temperature
CN107421642A (en) * 2011-11-10 2017-12-01 应用材料公司 Via the device and method of the temperature of laser diffraction measurement 3D semiconductor structures
CN107621169A (en) * 2017-09-30 2018-01-23 中南大学 A kind of small size vacuum induction melting furnace and its method of smelting
CN110657892A (en) * 2019-09-27 2020-01-07 北京航空航天大学 Device and method for measuring surface temperature field of titanium alloy electric arc welding molten pool
CN113175998A (en) * 2021-03-26 2021-07-27 合肥工业大学 Metal material surface temperature measurement method based on colorimetric temperature measurement
CN113252176A (en) * 2021-04-30 2021-08-13 太原理工大学 Sapphire inoculation point high-precision sensing device and method based on radiation spectrum
CN113465747A (en) * 2021-07-15 2021-10-01 南开大学 Sintering trolley tail near-infrared temperature measurement method and system
CN113639867A (en) * 2021-08-11 2021-11-12 吉林大学 High-temperature target short-wave infrared direction spectral emissivity and temperature experiment observation method
CN114375383A (en) * 2019-07-12 2022-04-19 蒂阿马公司 Apparatus and method for measuring wall thickness of glass container
CN115979425A (en) * 2022-12-21 2023-04-18 中国矿业大学 Multi-wavelength mobile narrowband window optimization spectrum temperature measurement method

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4928005A (en) * 1988-01-25 1990-05-22 Thomson-Csf Multiple-point temperature sensor using optic fibers
JPH0477641A (en) * 1990-07-20 1992-03-11 Nippon Telegr & Teleph Corp <Ntt> Temperature measuring method using optical fiber
CN1724984A (en) * 2004-07-19 2006-01-25 曹柏林 Temperature measuring method of infrared temperature measuring instrument
CN101000264A (en) * 2007-01-15 2007-07-18 哈尔滨工业大学 Spectral extreme temp. measuring method

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4928005A (en) * 1988-01-25 1990-05-22 Thomson-Csf Multiple-point temperature sensor using optic fibers
JPH0477641A (en) * 1990-07-20 1992-03-11 Nippon Telegr & Teleph Corp <Ntt> Temperature measuring method using optical fiber
CN1724984A (en) * 2004-07-19 2006-01-25 曹柏林 Temperature measuring method of infrared temperature measuring instrument
CN101000264A (en) * 2007-01-15 2007-07-18 哈尔滨工业大学 Spectral extreme temp. measuring method

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
《兵工学报》 20091231 王翔等 瞬态辐射光纤高温计系统研制 1072-1075 1-4 第30卷, 第12期 2 *
《照明工程学报》 20000630 周伟 等 用光谱法测量汽车灯的灯丝温度分布 8-10 1-4 第11卷, 第2期 2 *
《计量技术》 20001231 孙晓刚等 多光谱测温法建模方法的研究 3-5 1-4 , *

Cited By (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102353457A (en) * 2011-06-27 2012-02-15 北京理工大学 Distributed spectrum temperature measuring device for cloud and mist explosion field
CN107421642A (en) * 2011-11-10 2017-12-01 应用材料公司 Via the device and method of the temperature of laser diffraction measurement 3D semiconductor structures
CN102620841A (en) * 2012-03-14 2012-08-01 长春理工大学 Transient temperature measuring and inverting system based on spectrum technology
WO2015161727A1 (en) * 2014-04-25 2015-10-29 天津送变电易通电力科技有限公司 Method for measuring actual temperature of flame using all information about radiation spectrum and measurement system
US11359967B2 (en) 2014-04-25 2022-06-14 Tianjin Yitong Transmission & Distribution Electric Technology Co. Ltd. Method for measuring actual temperature of flame by using all information of radiation spectrum and measurement system thereof
CN106768366A (en) * 2017-01-12 2017-05-31 杭州电子科技大学 A kind of utilization micro spectrometer measures the method and device of high temperature
CN107621169A (en) * 2017-09-30 2018-01-23 中南大学 A kind of small size vacuum induction melting furnace and its method of smelting
CN107621169B (en) * 2017-09-30 2019-05-17 中南大学 A kind of small size vacuum induction melting furnace and its method of smelting
CN114375383A (en) * 2019-07-12 2022-04-19 蒂阿马公司 Apparatus and method for measuring wall thickness of glass container
CN110657892A (en) * 2019-09-27 2020-01-07 北京航空航天大学 Device and method for measuring surface temperature field of titanium alloy electric arc welding molten pool
CN113175998A (en) * 2021-03-26 2021-07-27 合肥工业大学 Metal material surface temperature measurement method based on colorimetric temperature measurement
CN113175998B (en) * 2021-03-26 2022-09-09 合肥工业大学 Metal material surface temperature measurement method based on colorimetric temperature measurement
CN113252176A (en) * 2021-04-30 2021-08-13 太原理工大学 Sapphire inoculation point high-precision sensing device and method based on radiation spectrum
CN113465747A (en) * 2021-07-15 2021-10-01 南开大学 Sintering trolley tail near-infrared temperature measurement method and system
CN113639867A (en) * 2021-08-11 2021-11-12 吉林大学 High-temperature target short-wave infrared direction spectral emissivity and temperature experiment observation method
CN113639867B (en) * 2021-08-11 2022-04-26 吉林大学 High-temperature target short-wave infrared direction spectral emissivity and temperature experiment observation method
CN115979425A (en) * 2022-12-21 2023-04-18 中国矿业大学 Multi-wavelength mobile narrowband window optimization spectrum temperature measurement method
CN115979425B (en) * 2022-12-21 2023-08-15 中国矿业大学 Multi-wavelength mobile narrow-band window optimizing spectrum temperature measurement method

Similar Documents

Publication Publication Date Title
CN101907492A (en) Object emission spectrum-based temperature measurement method
Ren et al. Machine learning applied to retrieval of temperature and concentration distributions from infrared emission measurements
Fu et al. Temperature measurements of diesel fuel combustion with multicolor pyrometry
Kasyutich et al. Towards a two-dimensional concentration and temperature laser absorption tomography sensor system
CN102830064B (en) Middle/high-temperature infrared emissivity testing device
CN101701850B (en) Method for detecting temperature and blackness of flame
CN108981953B (en) Laser absorption spectrum temperature measurement method and system based on interferometric modulation principle
Wu et al. Sensitive detection of CO 2 concentration and temperature for hot gases using quantum-cascade laser absorption spectroscopy near 4.2 μm
CN109100044B (en) Single-light-path multispectral-based gas temperature probability density distribution fitting reconstruction method
CN103048050B (en) Radiation temperature measurement method and instrument for measuring real temperature of target
EP3136065B1 (en) Method for measuring actual temperature of flame using all information about radiation spectrum and measurement system
Wood et al. Simultaneous temperature, concentration, and pressure imaging of water vapor in a turbine engine
CN108731817B (en) Different sensor infrared radiation normalization modeling method applied to forest fire hot spot discrimination
CN103954567A (en) Soil salinity determining method based on continuum removal method
CN108627272B (en) Two-dimensional temperature distribution reconstruction method based on four-angle laser absorption spectrum
CN111239072B (en) Method for accurately measuring temperature of combustion gas
CN103983365B (en) Multi-measuring-head transient radiation heat flow meter and measuring method for thermal radiation heat flow density
Estevadeordal et al. Multicolor techniques for identification and filtering of burst signals in jet engine pyrometers
CN107255558B (en) A method of acquisition three wave band radiation information of turbo blade
Liu et al. Two-dimensional flame temperature and emissivity distribution measurement based on element doping and energy spectrum analysis
Fu et al. Spectral stray light effect on high-temperature measurements using a near-infrared multi-wavelength pyrometer
CN114034653B (en) Wavelength modulation absorption spectrum chromatography reconstruction system based on deep learning
Fu et al. Inverse analysis of non-uniform temperature distributions using multispectral pyrometry
CN109100045B (en) Gas temperature probability density distribution reconstruction method based on single light path multispectral
Lou et al. Simultaneous determination of distributions of temperature and soot volume fraction in sooting flames using decoupled reconstruction method

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C12 Rejection of a patent application after its publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20101208