WO1999046646A1 - Optimization method and device - Google Patents
Optimization method and device Download PDFInfo
- Publication number
- WO1999046646A1 WO1999046646A1 PCT/IL1999/000119 IL9900119W WO9946646A1 WO 1999046646 A1 WO1999046646 A1 WO 1999046646A1 IL 9900119 W IL9900119 W IL 9900119W WO 9946646 A1 WO9946646 A1 WO 9946646A1
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- parameters
- desired conditions
- condition
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
- G05B13/042—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance
Definitions
- the present invention is in the field of optimization techniques .and relates to a method and a device for designing .an optimized process and/or associated processing system for manufacturing a certain product.
- Methods for designing a system and/or a process used for manufacturing a certain product are in great demand for a variety of industries, for example, chemical, biotechnological, food, cutting tools, microelectronics, electronics design, structure design, etc.
- the need for optimized technological processes is more essential when mass production of products is required.
- Fig. 1 illustrates a block diagram showing the main principles of such a conventional method for designing a "supposedly optimized” process and/or device to be used for manufacturing a certain product.
- Data required for performing the design, so-called “reference data”, is representative of the following particulars:
- working conditions used herein signifies those conditions inside the processing device or environment which affect the end product parameters and should be maintained within predetermined ranges during the process.
- U.S. Patent No. 5,587,897 discloses an optimization method and device for determining an optimal solution by means of detecting a search start point for st.arting the se.arch of the optimal solution. More specifically, objective function, search region and required precision are set. Then, the objective function is made into a convex function and its maximum value is detected using a local search method.
- this approach brings to complex objective functions or procedures, as well as to the need for an experienced engineer who would combine his knowledge of the process to be optimized with his deep knowledge of the optimization mathematics and procedures.
- a method for optimizing a process for manufacturing a certain end product within a system wherein the end product is defined by certain desired conditions of its N parameters, the system is defined by certain desired conditions of its M parameters and the manufacturing process is defined by certain desired conditions of its Q working parameters, such that at least one of said M OT Q parameters depends variably on at least another one of said M or Q parameters according to a predetermined mathematical model, the method comprising the steps of:
- process for manufacturing used herein signifies a technological or scientific process, structure, effect or the like for producing or preparing a certain product, wherein the term “product” signifies a desired result of a process, structure or effect.
- system used herein signifies a specific environment, which may include an apparatus.
- the parameter(s) depending variably on the another parameter(s), as well as the .another parameter(s), may be representative of process or system, or both of them.
- the concept of the invention is based on the idea that an optimization - 5 -
- a starting point of the optimization method is specified in the form of a certain initial condition of at least one parameter of either the system or process, under which all the product parameters and the other process and system parameters satisfy their desired conditions.
- the initial condition is in the form of a certain value (or range of values) of at least one process or system parameter. This value is specified in accordance with symmetry and/or order of magnitudes considerations that may not be achievable in reality.
- the starting point of the optimization method represents such a condition of at least one of the system or process parameters, under which the goals of the optimization procedure related to all the other parameters are supposed to be satisfied. At least one of the goals of the optimization procedure, a so-called
- OPG optimization goals condition
- OPG objective functions of the conventional approach are replaced here by OPG in the form of the desired condition of at least one of the end product parameters.
- This parameter represents real and measurable data used as reference data to which the current results of the optimization method are compared. Owing to the fact that the starting point of the optimization procedure may include values that are not feasible, such an optimization procedure strives for appropriate feasible values that can be - 6 -
- the concept of the invention is simple and easy to understand.
- Mathematical tools used for the optimization procedure according to the invention can be chosen by engineers involved in a certain manufacturing or preparation process to be optimized, or by engineers involved in the optimization procedure. Such engineers may input their experience and intuition and the optimization method can leverage creativity, or may apply any known mathematical routines within their personal skills.
- One of the advantages of the invention is that the optimization procedure brings-up directly to a design engineer the "feel", behavior and insight into the systems and processes to be optimized without complex action of the mathematical functions.
- the idea of the present invention is based on that the system and/or process to be optimized are defined by N parameters of the end product, M parameters of the system and Q parameters of the process which depend variably on each other.
- the whole reference data one should have in his ⁇ er disposal in order to perform the optimization method includes the following:
- processor equipped by memory for storing the above reference data and by input and output interfaces;
- At least one of the end product desired conditions should be selected to specify OPG, and such an initial condition of the optimization method should be set, under which the end product and other process and system desired conditions are satisfied.
- the initial condition may be represented by the value(s) of at least one of the M parameters and/or at least one of the Q parameters which is defined by symmetry, order of magnitude and/or other engineering or scientific considerations that may not be achievable in reality.
- the initial condition is defined by an infinite value of one of the system's parameters. In this case, the simulation procedure begins with reducing this initial value.
- the process or system parameter which should be adjusted is detected by means of determining and analyzing the behavior, for example, gradients of that at least one product's par.ameter which defines the optimum condition, depending on each of the changes of the process and/or system parameters.
- the above optimization method may be applied to any product manufactured by a process, structure or effect that can be defined by specific mathematical, scientific or statistical relations between the product, process (structure, effect) .and system for its m.anufacturing.
- a chemical vapor deposition (CVD), or other physical, chemical, biochemical electrochemical, electromagnetic, etc. processes may be optimized by this method.
- a device for optimizing a process for manufacturing a certain end product within a system wherein the end product is defined by certain desired conditions of its N parameters, the system is defined by certain desired conditions of its M parameters and the manufacturing process is defined by certain desired conditions of its Q working parameters, so that at least one of said Mor Q parameters depends variably on at least another one of said M or Q parameters according to a predetermined mathematical model, the device - 8 -
- a memory for storing reference data which is generated by an operator and is representative of said desired conditions of N, M and Q parameters, predetermined mathematical model, and an optimum condition and a starting point of the optimization procedure,, the starting point being in the form of such an initial value of at least one of said Q or M parameters that each of corresponding initial values of said N par,ameters and of the other M .and Q p.arameters satisfies the respective desired condition, the optimum condition being such that at least one of said desired conditions of the N parameters is satisfied; ii. input interface coupled to said memory for inputting said reference data and said data generated by the operator; iii.
- a processing unit interconnected between said memory and input interface for performing said simulation procedure and producing data indicative of simulation results; and iv. an output interface for displaying said produced data indicative of the simulation results.
- the present invention is used for designing an apparatus employed in a CVD manufacturing process and is therefore described below with respect to this application.
- Fig. 1 is a schematic block diagram illustrating the main principles of a conventional optimization method of the kind specified
- Fig. 2 is a schematic block diagram illustrating the main principles of an optimization method according to the invention.
- Fig. 3 is a schematic illustration of the main components of a system for manufacturing a product within a processing apparatus, which process and apparatus has to be optimized;
- Figs. 4a and 4b illustrate a flow diagram of the main steps of a method for optimizing the process and apparatus used in the system of Fig. 3.
- Fig. 1 illustrates the main principles of a conventional approach for optimizing a processing apparatus used for manufacturing a certain product. As shown, this approach is based on the existing models of an apparatus of the kind and employs the capability and intuition of designers to compile the data manually, or by using design-rules and objective function of the earlier kind, for performing numerous simulation and trial-and-error procedures.
- Total reference data required for performing the design, includes solely the end product's parameters, working conditions of the process and design-rules.
- the other reference data representative for example, of existing models' parameters, may help but is not necessary.
- engineers' capability and intuition . are replaced here by a certain sequence of steps, which should be performed prior to and concurrently with the simulation, and on which the simulation procedures are based. Similarly, the engineers' capability and intuition may help but are not necessary.
- Fig. 3 illustrates a system 10 for chemical vapor deposition of silicon on a silicon wafer 12 within a reactor 14.
- the reactor 14 is in the form of a cylinder having its diameter Do and height h.
- the reactor 14 is provided with inlet, top and outlet, bottom openings 16a and 16b having diameters D; and D2, respectively.
- the wafer 12 is supported on a susceptor 18 appropriately accommodated inside the reactor 14 and is coupled to a heating element 20 so as to be heated up to a desired temperature T°.
- a stream of a reactant gas SiH 4 is supplied under a certain pressure into the reactor 14 through the opening 16a.
- the end product i.e. the silicon deposition on the wafer 12
- the end product can be characterized by the following main parameters:
- (Q 2 ) the pressure P inside the reactor 14 should be within the following range: 0.9 Atm - 1.1 Atm; What has actually to be designed is the structure of the reactor 14, which is characterized by the following parameters: (M the exact shape and geometry of the reactor, including its diameter Do and height h; (M 2 ) top inlet diameter Df, (M 3 ) bottom outlet diameter D ,
- (Mi) materials MT t of the reactor including their engineering parameters such as, for example, heat capacity and thermal conductivity;
- the working conditions of the process are those affecting the end product parameters. It is appreciated that the above conditions Qi and Q2 of the process vary during the manufacturing process according to the following partial differential equations (constituting a mathematical model):
- P is the gas density (of the ideal gas); Fis the gas velocity vector; (2) "Momentum Equation"
- GR is a current growth rate
- Co(R c w,Yw,Z w ) is a coefficient relating to the reactant gas SiH 4 and the wafer surface points
- R c is a concentration of the reactant gas SiH in a - 13 -
- X W , Y W ,Z W are space coordinates of the wafer's surface; E a is the activation energy.
- OPG optical goals condition
- the OPG represents a specific condition of at least one parameter of the end product.
- the OPG may simply include the desired value (or range of values) of one of the product parameters, for l o example N 2 , that is :
- OPG is specified in accordance with the requirements of a manufacturer so as to be one of the real goals of the manufacturing process and/or indicative of the effectiveness of the manufacturing process. It will be
- OPG may represent specific conditions of more than one of the end product parameters and one or more process conditions.
- Another essential feature of the present invention is the provision of a starting point of the optimization procedure, which represents a so-called "ideal condition", under which the goals of the optimization method are 0 substantially achieved. More specifically, the ideal condition provides such a value of at least one of the process or apparatus parameters, that all the other product, process and apparatus conditions are satisfied.
- the initial condition is in the form of infinite dimension of the reactor 14, that is: 5 Do ⁇ ⁇ h ⁇ ⁇
- the above expressions together define the start point for performing the whole method of designing the optimized reactor 14.
- the ideal condition is in the form of such a value of at least - 14 -
- the reactor is such that the process' conditions thereinside are symmetrical relative to the end product.
- each of the parameters included in the OPG depends variably, either directly or indirectly, on at least some of the other parameters related to the reactor 14, process and product.
- the OPG defining parameter of the product N is a function of all the above listed parameters as follows:
- N 2 N ⁇ , Qj, Q 2 , Mi, M 2 , M 3 , M 4> M 5 , M 6 , M 7 ) or more specifically: A/Do, h, D D 2 , M it T, T h T 2 , P, P,, P u R, I, X w , Y w , Z w , A)
- the OPG is selected (step 22), for example, as described above.
- the start point in the form of the ideal condition is specified (step 24), for example, by assuming that the reactor 14 is of infinite dimensions.
- An initial simulation procedure begins (step 26) with changing (reducing) these dimensions (step 27) and proceeds with calculating current values of the OPG defining parameter, i.e. N 2 (step 28). These current values correspond to the changed, reduced values of the reactor's parameters Do and ft.
- this parameter is considered to be changed when its value is out of the desired range.
- steps 26, 27, 28, 29 and 30 are sequentially repeated until changes in at least some of the parameters PR], ... , PRu, for example par.ameters, .are detected (step 32). These changes are caused by the act of reducing the dimensions of the reactor 14.
- the above data is analyzed so as to determine that/those parameter(s) whose change(s) affect(s) significantly, in comparison to the others, the changes of the OPG.
- the gradients of the OPG depending on the changes of each of the detected parameters are separately determined (step
- At least one of those detected parameters is changed accordingly (step
- step 36 The detected parameters or those previously changed so as to cause the changes of these detected parameters are adjusted (step 36) in order to maintain the "ideal condition" as specified above. It is appreciated that this adjustment procedure is followed by continuously repeating the steps 26-36.
- step 38 Upon detecting that the OPG is maintained, i.e. the flatness Af of the silicon is of the desired value d (step 38), current parameters of the reactor 14 (Mj-M ⁇ ) and working conditions of the process (Q1-Q2), which correspond to the current "ideal" value of the product parameter N2, are analyzed (step 40). If the current parameters are found to be of the desired values (step 42), the design is completed. It should be noted that the desired values may be feasible values (or range of values) suitable for the specific manufacturing process. If the current parameters are found to be out of the desired range of values , the design is performed again starting from the step 26. It is understood that now the reactor's dimensions will be either reduced or increased depending on those current values previously received.
- the processor operated by suitable software, based on the mathematical model capable of solving the above equations and analyzing the received solutions.
- the processor includes a memory for storing reference data representative of all the relevant parameters and the mathematical equations to be solved.
- Appropriate input and output interfaces are provided and coupled to or incorporated with the processor for, respectively, inputting the reference and other relevant data and indicating the calculated values and the design's results.
- Such processor and software may be of any known kind and do not form a part of the present invention. Advantages of the method according to the invention are thus evident.
- the optimization procedure starts from such a scientific "ideal" initial point, at which the specific conditions representing the goals of the optimization procedure are substantially satisfied.
- One of these goals is selected to represent the final result's criteria of the optimization procedure to which the current results are compared.
- OPG is selected to represent the final result's criteria of the optimization procedure to which the current results are compared.
- the optimization procedure begins from such a start point when the desired conditions are substantially satisfied and proceeds so as to maintain the OPG condition, rather th.an start with an undesirable condition and try to reach a specific desired one.
- the desired condition to be maintained or OPG is in the form of a certain measurable parameter and, on the other hand, represents a certain goal of a certain manufacturer aimed at increasing the effectiveness of the manufacturing process. Therefore, specifying this measurable parameter to be maintained which has a physical sense of an optimum condition for a specific technological process, enables to make the design physically realizable.
Abstract
Description
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Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
AU26379/99A AU2637999A (en) | 1998-03-10 | 1999-03-02 | Optimization method and device |
EP99906434A EP1062549A1 (en) | 1998-03-10 | 1999-03-02 | Optimization method and device |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
IL123607 | 1998-03-10 | ||
IL12360798A IL123607A0 (en) | 1998-03-10 | 1998-03-10 | Optimization method and apparatus |
Publications (1)
Publication Number | Publication Date |
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WO1999046646A1 true WO1999046646A1 (en) | 1999-09-16 |
Family
ID=11071319
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/IL1999/000119 WO1999046646A1 (en) | 1998-03-10 | 1999-03-02 | Optimization method and device |
Country Status (4)
Country | Link |
---|---|
EP (1) | EP1062549A1 (en) |
AU (1) | AU2637999A (en) |
IL (1) | IL123607A0 (en) |
WO (1) | WO1999046646A1 (en) |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
DE10110268A1 (en) * | 2001-03-02 | 2002-09-19 | Siemens Ag | Circuit board manufacturing method selection, using computer program structure for identifying manufacturing method with minimum complexity |
SG100710A1 (en) * | 2000-05-24 | 2003-12-26 | Rohm & Haas | Computer-based product formulation |
EP1164522A3 (en) * | 2000-05-31 | 2004-01-07 | Kabushiki Kaisha Toshiba | Electronic commerce method for semiconductor products, electronic commerce thereof, production system, production method, production equipment design system, production equipment design method, and production equipment manufacturing method |
WO2004072746A2 (en) * | 2003-02-14 | 2004-08-26 | Siemens Aktiengesellschaft | Method for optimizing the operation of a metallurgical engineering system using a mathematical model |
EP1901214A1 (en) * | 2006-09-18 | 2008-03-19 | ABB Oy | A method for optimization of subsequent treatment processes in production planning |
US8404714B2 (en) | 2008-01-04 | 2013-03-26 | Novus International, Inc. | Combinations to improve animal health and performance |
Citations (5)
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WO1995002213A1 (en) * | 1993-07-05 | 1995-01-19 | Siemens Aktiengesellschaft | Process for determining the optimum values of the correcting variables of a technical system |
WO1996027824A1 (en) * | 1995-03-03 | 1996-09-12 | Continental Controls, Inc. | Multivariable process control method and apparatus |
US5587897A (en) * | 1993-12-27 | 1996-12-24 | Nec Corporation | Optimization device |
US5724239A (en) * | 1994-10-27 | 1998-03-03 | Fujitsu Limited | Robust control system for designing logic for imperfect model |
US5784596A (en) * | 1994-09-23 | 1998-07-21 | Nec Usa, Inc. | Algorithmic modeling of TES processes for simulation analysis |
-
1998
- 1998-03-10 IL IL12360798A patent/IL123607A0/en unknown
-
1999
- 1999-03-02 WO PCT/IL1999/000119 patent/WO1999046646A1/en not_active Application Discontinuation
- 1999-03-02 EP EP99906434A patent/EP1062549A1/en not_active Ceased
- 1999-03-02 AU AU26379/99A patent/AU2637999A/en not_active Abandoned
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
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WO1995002213A1 (en) * | 1993-07-05 | 1995-01-19 | Siemens Aktiengesellschaft | Process for determining the optimum values of the correcting variables of a technical system |
US5587897A (en) * | 1993-12-27 | 1996-12-24 | Nec Corporation | Optimization device |
US5784596A (en) * | 1994-09-23 | 1998-07-21 | Nec Usa, Inc. | Algorithmic modeling of TES processes for simulation analysis |
US5724239A (en) * | 1994-10-27 | 1998-03-03 | Fujitsu Limited | Robust control system for designing logic for imperfect model |
WO1996027824A1 (en) * | 1995-03-03 | 1996-09-12 | Continental Controls, Inc. | Multivariable process control method and apparatus |
Cited By (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
SG100710A1 (en) * | 2000-05-24 | 2003-12-26 | Rohm & Haas | Computer-based product formulation |
EP1164522A3 (en) * | 2000-05-31 | 2004-01-07 | Kabushiki Kaisha Toshiba | Electronic commerce method for semiconductor products, electronic commerce thereof, production system, production method, production equipment design system, production equipment design method, and production equipment manufacturing method |
US6788985B2 (en) | 2000-05-31 | 2004-09-07 | Kabushiki Kaisha Toshiba | Electronic commerce method for semiconductor products, electronic commerce thereof, production system, production method, production equipment design system, production equipment design method, and production equipment manufacturing method |
DE10110268A1 (en) * | 2001-03-02 | 2002-09-19 | Siemens Ag | Circuit board manufacturing method selection, using computer program structure for identifying manufacturing method with minimum complexity |
WO2004072746A2 (en) * | 2003-02-14 | 2004-08-26 | Siemens Aktiengesellschaft | Method for optimizing the operation of a metallurgical engineering system using a mathematical model |
WO2004072746A3 (en) * | 2003-02-14 | 2004-10-28 | Siemens Ag | Method for optimizing the operation of a metallurgical engineering system using a mathematical model |
US7720653B2 (en) | 2003-02-14 | 2010-05-18 | Siemens Aktiengesellschaft | Mathematical model for a metallurgical plant, and method for optimizing the operation of a metallurgical plant using a model |
EP1901214A1 (en) * | 2006-09-18 | 2008-03-19 | ABB Oy | A method for optimization of subsequent treatment processes in production planning |
US7987016B2 (en) | 2006-09-18 | 2011-07-26 | Abb Oy | Method for optimization of subsequent treatment processes in production planning |
US8404714B2 (en) | 2008-01-04 | 2013-03-26 | Novus International, Inc. | Combinations to improve animal health and performance |
Also Published As
Publication number | Publication date |
---|---|
EP1062549A1 (en) | 2000-12-27 |
AU2637999A (en) | 1999-09-27 |
IL123607A0 (en) | 1998-10-30 |
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