CN101947693B - Optimization system of laser tailor-welded blank technology based on property prediction and method - Google Patents
Optimization system of laser tailor-welded blank technology based on property prediction and method Download PDFInfo
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Abstract
The invention relates to an optimization system of a laser tailor-welded blank technology based on property prediction and a method. The system comprises a database, a pre processing module, a mechanical property prediction module, a technology optimization module and a post processing module, wherein the pre processing module is used for reading basic information and technological parameter on welders and base metals needed in the laser welding process from the database so as to provide initial conditions for the follow-up flows; the mechanical property prediction module is used for simulating different technological states to obtain the property prediction value of a target and a corresponding optimal PLS prediction model set, wherein the relative error of the property prediction value is less than or equal to 5%; the technology optimization module is used for calling out all built-in yield-strength ratios of the tailor-welded blanks in the system after users input the related information on the welded base metals based on the built-in optimization property scope in the system database, and then is used for selecting the yield-strength ratio, and finally the optimal PLS prediction model set is used for carrying out reverse solution to obtain the technological scheme for optimalizing the mechanical property of the tailor-welded blanks; and the post processing module is used for finishing display and output of the result.
Description
Technical field
The present invention relates to the laser welding technology field, specifically a kind of performance requirement for the tailor welded product is formulated the system and method for optimizing laser welding process.
Background technology
In recent years, along with the growth of national economy, economical and practical automobile is light with its quality, oil consumption is few, safe and receive much concern.Because body quality and production cost have been lowered in the application of laser assembly solder plate, thereby are widely used in automobile production enterprise.But, the for a long time R﹠D work about various high-performance laser assembly solder plates all is confined to experiment observation and general theoretic discussion, when particularly relating to the technological design of various laser assembly solder plate structures and process optimization, processing simulation that seldom can quantitative and predicting the outcome has increased its R ﹠ D Cost and cycle thus greatly.If can introduce in the laser weld field advanced numerical simulation and prediction technology, then can predict rapidly and exactly the mechanical property of laser assembly solder plate and in time adjust and optimize laser welding process that the research and development of high-performance laser assembly solder plate are had very important engineering significance.Yet the relevant achievement of this type of research is equal rarely seen reports at home and abroad.
Up-to-date retrieval work shows, Japan Kobe Steel company has applied for patent " Weld metalexcellent in toughness and SR cracking the resistance " (patent No.: US07597841) in 2007 to USPO, the content of this patent is mainly by the adjustment to the welding metal ingredient, to obtain good weld properties.In addition, the JosidaKhirosi of Nippon Steel company has applied for that to EUROPEAN PATENT OFFICE (patent No.: RU2006013994820050412), the main contents of this patent are to have invented the device that a kind of future position weldment of processing based on terminal computer breaks to patent Device to forecast rupture of part subjected to pointwelding method to this end computer software and machine-readable data carrier in 2009.Because during spot welding, along with the increase of solder joint number, the reasons such as electrode tip diameter increase that the plastic deformation that electrode head produces causes can produce sealing-off, need to carry out manual intervention.But the patent achievement about laser assembly solder plate mechanical properties prediction and technique optimization method has no report.
Summary of the invention
The objective of the invention is to be specifically related to cold-rolling deep-punching plate series St12 and galvanized sheet thereof take laser assembly solder steel plate commonly used as research object; The super drawing steel BUSD of High Strength Steel DOGAL800DP/, Aldecor plate series B240/390DP etc. provide a kind of performance requirement for the tailor welded product, formulate the system and method for optimizing laser welding process.
The technical scheme that realizes a purpose of the present invention is: a kind of laser assembly solder plate technique optimizing system based on performance prediction, and this system is comprised of SQL database, pre-processing module, mechanical properties prediction module, process optimization module, post-processing module;
Described SQL database has comprised the essential information of tailor welded mother metal;
Described pre-processing module is used for reading the required weldment of laser beam welding and mother metal essential information and technological parameter from database, for follow-up flow process provides primary condition;
Described mechanical properties prediction module draws performance prediction value and the corresponding optimum PLS forecast model group of target relative error≤5% by the simulation to the different process state;
Described process optimization module, Optimal performance scope built-in in the system database is as foundation, this scope is the minimum～maximum of tailor welded yield tensile ratio, by the user after input associated welds mother metal information, all yield tensile ratio values of this tailor welded that the system that accesses is built-in, and it is selected; For selected a certain concrete yield tensile ratio value, then can be by the anti-process program that obtains making tailor welded mechanical property optimum of asking of the PLS forecast model group of optimum;
Described post-processing module is finished result's demonstration output, and employing form or graph mode are exported the result of process optimization module, export simultaneously the plain text analysis report.
Specific as follows:
The SQL database function: this database has comprised the essential information of tailor welded mother metal, and essential information comprises physical function parameter, welding condition and other system's desired datas such as material trademark, chemical composition, mother metal thickness, weldment size.
The pre-processing module idiographic flow is: at first read welding condition from SQL database, comprising: the welding conditions such as the mother metal trade mark of welding, composition, mother metal thickness, weldment size, laser power, speed of welding, spot diameter, heat input, defocusing amount, focal length, heat absorption coefficient.As read errorlessly, then change the mechanical properties prediction module over to; Errors excepted, then can return and again read technological parameter.
The mechanical properties prediction module, utilize composition of steel, tailor welded mother metal thickness, welding condition, set up offset minimum binary prediction (Partial Least-Squares Regression, be called for short " PLS ") formula, and to check and the control of model accuracy, to obtaining the higher PLS mechanical properties prediction formula of precision.
The process optimization prediction module after input associated welds mother metal information, can access all yield tensile ratio values of this built-in tailor welded of system by the user, and it is selected.For selected a certain concrete yield tensile ratio value, then can be by the anti-process program that obtains making tailor welded mechanical property optimum of asking of the PLS forecast model group of optimum.When user selection item when being default, the process optimization module then is defaulted as the Optimal performance value with the middle limit value of tailor welded yield tensile ratio extreme value scope, and draws thus corresponding optimum process scheme factor level combination.
Post-processing module is used for showing output result of calculation, and the modes such as employing form, chart are exported the result of process optimization module, also comprise the plain text analysis report.
The technical scheme that realizes another goal of the invention of the present invention is: a kind of laser assembly solder plate technique optimization method based on performance prediction, and the method may further comprise the steps:
(1) from database, reads the required mother metal information of laser beam welding and technological parameter etc., the step of primary condition is provided for follow-up flow process;
(2) in conjunction with the essential information of weldment to be measured, essential information comprises composition, thickness and technological parameter, set up PLS mechanical properties prediction model group, and the PLS formula is carried out check and the control of precision, obtain the step of the highest PLS mechanical properties prediction model group of precision;
(3) in the system database built-in Optimal performance scope as foundation, this scope is the minimum～maximum of tailor welded yield tensile ratio, by the user after input associated welds mother metal information, all yield tensile ratio values of this tailor welded that the system that accesses is built-in, and it is selected, and according to selected a certain concrete yield tensile ratio value, ask the process program that obtains making tailor welded mechanical property optimum.
(4) output Optimizing Process Parameters.
Described step (1) further comprises, when welding condition reads errorlessly, then changes next step over to; Errors excepted, then can return and again read technological parameter; Described welding condition is well-known to those skilled in the art, comprising: the steel grade of welded plate and composition thereof, sheet metal thickness specification to be welded, laser power, speed of welding and spot diameter etc.
Described step specifically comprises in (2): adopt intersection validity to determine the number of principal component, to obtain the minimized predictive equation of PRESSh, utilize accuracy test and the control of target relative error 5%, obtain the highest PLS mechanical properties prediction model group and the anti-optimum laser weld scheme that obtains of asking of inverse mapping of precision.
Described step further comprises in (3), for selected a certain concrete yield tensile ratio value, inquires into the process program that obtains making tailor welded mechanical property optimum by the PLS forecast model group of optimum is counter; When user selection item when being default, the process optimization module then is defaulted as the Optimal performance value with the middle limit value of tailor welded yield tensile ratio extreme value scope, and draws thus corresponding optimum process scheme.
The mode of output can be to adopt form, curve or intelligent report manner to show output to respectively predicting the outcome in the described step (4).
Advantage of the present invention is:
1, can according to the tailor welded target mechanical property of user's proposition, provide corresponding optimum laser welding process scheme.
2, can according to optimum laser welding process scheme, carry out corresponding processing simulation and predict the tailor welded mechanical property.Utilize system of the present invention, the precision of prediction of yield strength, tensile strength and the percentage elongation of tailor welded is all reached more than 95%, thereby guaranteed the precision of tailor welded material control.
3, database provided by the invention has a large amount of tailor welded mother metal essential informations and laser weld processing parameter, and friendly interface, input, output all are consistent with production process, easy operating.Each module of system is operated on the computer of standard configuration and moves, and has realized separating of calculating and result output, is convenient to debugging, upgrading, maintenance and the transplanting of program.
4, the present invention has excellent universality, can be applied to the laser weld application of various novel, super Toughened Materials, it is optimized, predicting the outcome helps the technical staff to improve existing technique of producing, for the final performance that improves various novel, super Toughened Materials tailor weldeds provides reliable basis.
Description of drawings
Fig. 1 is entire system block diagram of the present invention;
Fig. 2 is mechanical properties prediction module Establishing process block diagram;
Fig. 3 is process optimization module Establishing process block diagram.
The specific embodiment
Below in conjunction with accompanying drawing the present invention is described in further detail.
As shown in Figure 1, the present invention has set up the method and system based on the laser assembly solder plate process optimization of performance prediction take laser assembly solder plate commonly used as research object.Block mold is comprised of database, pre-processing module, mechanical properties prediction module, process optimization module, post-processing module.Wherein, pre-processing module, post-processing module are auxiliary module, with the demonstration output of the optimum results of the foundation that realizes the mechanics performance prediction module and process optimization module.
In the tailor welded mechanical properties prediction module of setting up as shown in Figure 2, for ease of control laser assembly solder plate mechanical properties prediction precision, must set up PLS mechanical properties prediction model group in conjunction with thickness, the technological parameter of weldment to be measured, and the PLS formula is carried out check and the control of precision, obtain the highest PLS mechanical properties prediction model group of precision.
For the degree of fitting of the PLS mechanical properties prediction module output valve that makes above-mentioned tailor welded and actual value best, should be so that the error sum of squares PRESS of output valve
hMinimize; Be the multiple correlation impact of eliminating each input variable simultaneously, need to adopt intersection validity to determine the number of principal component, to obtain PRESS
hMinimized predictive equation, computational tool adopts MATLAB software.
In addition, the modeling piece possesses the interpretability in the explanation input similar with typical multiple linear correlation analysis, output variable space and makes it reach higher level in order to make, should be so that principal component t
hAccumulation interpretability to input variable X and output variable Y---RdXtt and RdYtt maximization.
To the control of institute's modeling piece precision of prediction, be to utilize the predicted value of module and the target relative error of actual value to be controlled (target relative error≤5%), if meet this required precision, then Output rusults; If when not meeting, then return the modeling work that pre-processing module repeats Fig. 2, until reach till the target relative error.
That Optimal performance scope built-in in the system database is as foundation carrying out as shown in Figure 3 process optimization module, this scope is the minimum～maximum of tailor welded yield tensile ratio, by the user after input associated welds mother metal information, can access all yield tensile ratio values of this built-in tailor welded of system, and it is selected.For selected a certain concrete yield tensile ratio value (ownership goal yield tensile ratio value), then can obtain corresponding Optimization Technology factor level combination by counter the asking of the PLS forecast model group of optimum, meaning namely obtains making the process program of tailor welded mechanical property optimum.When user selection item when being default, system then is defaulted as the optimization aim performance number with the middle limit value of tailor welded yield tensile ratio extreme value scope, and draws thus corresponding optimum process scheme factor level combination.This default value is based on the tailor welded of engineering in using and all needs follow-up forming technology and establish, and its follow-up forming technology requires tailor welded to have higher forming property, and namely yield tensile ratio can not be too high.If yield tensile ratio is too high, forming property is significantly reduced, then easily produce various forming defectses.
Below in conjunction with accompanying drawing, further implementation process of the present invention is progressively illustrated by 4 embodiment.
Embodiment 1
Take 1.5mm St12 plate/galvanized sheet tailor welded as example, welding procedure adopts one side welding with back formation, and welding condition is: power P=1525～1850W, speed of welding 1.6～2.0m/min, spot diameter Φ 0.3mm～1mm, absorptivity is 0.7, welding is 127mm with the focal length of lens.
Use MATLAB software to the mapping relations of existing welding condition and mechanical property
J=0,1 ... k, i=1,2) carry out PLS calculating, its algorithm steps is as follows.
Step 1: weldment sample (〉=9) related process data, as shown in table 1.
Table 1 weldment sample related process data
Step 2: investigate the multiple correlation problem between the input variable, by as seen from Table 2, the multiple correlation between the input variable is more obvious.
Correlation matrix between table 2 weld metal zone input variable, output variable
Step 3: after intersection validity principle is processed, obtain the optimum principal component number of yield strength, as be shown in Table 3, when h=3, PRESS
Hmin=0.324679, h=1,2,3; In like manner obtain the optimum principal component number of tensile strength, as be shown in Table 4, when h=3, PRESS
Hmin=0.376854; In like manner obtain the optimum principal component number of percentage elongation, as be shown in Table 5, when h=3, PRESS
Hmin=0.489121; Therefore the present invention finally gets three principal components and sets up yield strength, tensile strength and percentage elongation prediction module, as follows respectively.
Yield strength y
1For
y
1＝-0.0289x
1+36.9053x
2-20.9374x
3+175.3353
Tensile strength y
2For:
y
2＝-0.0121x
1+17.6536x
2-38.8001x
3+358.1600
Percentage elongation y
3For:
y
3＝0.0028x
1-3.4113x
2-6.6175x
3+28.6674
X in above two formulas
1One laser power (W), x
2-speed of welding (m/min), x
3-spot diameter (mm).
The principal component analysis of step 4:PLS equation
To above y
1, y
2, y
3After carrying out principal component analysis respectively, obtain table 3, table 4, table 5.
In the table 3, symbol RdXt represents principal component t
hInterpretability to input variable X; Symbol RdXtt represents principal component t
hAccumulative total interpretability to input variable X; Symbol RdYt represents principal component t
hInterpretability to output variable Y; Wherein, symbol RdYtt represents principal component t
hAccumulative total interpretability to output variable Y; PRESS
hBeing the Prediction sum squares of Y, is the foundation that intersection validity method judgement principal component is chosen number.
Table 3 shows, should choose three principal components, at this moment PRESS
Hmin=0.324679, explained altogether in the former input variable system 99.9384% variation information, explained in the output variable system 97.6633% variation information, all very high to the accumulative total interpretability of input variable and output variable.
The principle component analysis data of table 3 yield strength
Table 4 shows, should choose three principal components, at this moment PRESS
Hmin=0.376854, explained altogether in the former input variable system 93.4899% variation information, explained in the output variable system 96.4832% variation information, all very high to the accumulative total interpretability of input variable and output variable.
The principle component analysis data of table 4 tensile strength
In like manner, table 5 shows, should choose three principal components, at this moment PRESS
Hmin=0.489121, explained altogether in the former input variable system 94.3812% variation information, explained in the output variable system 97.2396% variation information, all very high to the accumulative total interpretability of input variable and output variable.
The principle component analysis data of table 5 percentage elongation
Step 5: precision of prediction check and control
The process data of pre-processing module is imported the mechanical property module, carry out mechanical properties prediction, predict the outcome as shown in table 6.By as seen from Table 6, the yield strength relative error is 0.1813～4.6043%, and the tensile strength relative error is 0.0274～3.7452%, and the percentage elongation Relative Error is 0.0658～4.9447%.
Table 6 tensile strength, percentage elongation predicted value and actual value
Step 6: the user inputs expected performance
The extreme value scope of this tailor welded yield tensile ratio is: 0.48～0.55, and the user determines that the yield tensile ratio value is 0.50.
Step 7: output Optimizing Process Parameters
x
1＝1735W，x
2-1.6m/min，x
3＝1mm，Rel＝163，Rm＝327MPa，A＝21％
Embodiment 2
Take 0.8mm St12 plate/1.5mm galvanized sheet tailor welded as example, welding procedure is identical with example 1, and its modeling is identical with example 1 with Optimizing Flow and step
Step 1: weldment sample (〉=9) related process data, as shown in table 7.
Table 7 weldment sample related process data
After embodiment 2 described step 2～steps 4, obtained the PLS forecast model group of mechanical property, as follows.
Yield strength y
1For:
y
1＝-0.0471x
1+39.1667x
2-21.4414x
3+202.0455
Tensile strength y
2For:
y
2＝-0.0472x
1+38.3333x
2-23.8288x
3+359.7018
Percentage elongation y
3For:
y
3＝0.0103x
1-6.6667x
2+4.2793x
3+16.6625
Step 5: precision of prediction check and control
The process data of pre-processing module is imported the mechanical properties prediction module, carry out mechanical properties prediction, predict the outcome as shown in table 8.By as seen from Table 8, the yield strength relative error is 0.6948～4.8694%, and the tensile strength relative error is 0.1224～4.5038%, and the percentage elongation Relative Error is 1.3132～4.4867%.
Table 8 tensile strength, percentage elongation predicted value and actual value
Step 6: the user inputs expected performance
The extreme value scope of this tailor welded yield tensile ratio is: 0.50～0.58, and the user determines that the yield tensile ratio value is 0.54.
Step 7: output Optimizing Process Parameters
x
1＝1735W，x
2-1.6m/min，x
3＝1mm，Rel＝163，Rm＝327MPa，A＝21％
Embodiment 3
Take the super drawing steel BUSD of 1.5mm High Strength Steel DOGAL800DP/ tailor welded as example, welding procedure adopts one side welding with back formation, welding condition is: laser power is 900～1400W, speed of welding is 1～2m/min, spot diameter is 0.3～1.0mm, absorptivity is 0.7, and welding is 127mm with the focal length of lens.Its modeling is identical with embodiment 1 with Optimizing Flow and step.
Step 1: one group of (〉=9) related process data of random call, as shown in table 9.
Table 9 weldment sample related process data
After embodiment 1 described step 2～step 4, obtained the PLS forecast model group of mechanical property, as follows.
Tailor welded yield strength y
1For:
y
1＝-0.0187x
1+9.0000x
2-13.8739x
3+250.9757
Tailor welded tensile strength y
2For:
y
2＝-0.0193x
1+10.3333x
2-13.8739x
3+339.7423
Tailor welded percentage elongation y
3For:
y
3＝0.0047x
1-2.6667x
2+3.7838x
3+29.9036
X in above two formulas
1-laser power (W), x
2-speed of welding (m/min), x
3-spot diameter (mm).
Step 5: precision of prediction check and control
The process data of pre-processing module is imported the mechanical property module, carry out mechanical properties prediction, predict the outcome as shown in table 10.By as seen from Table 10, the tensile strength relative error is 0.0549～3.3265%, and the tensile strength relative error is 0.0900～3.8579%, and the percentage elongation Relative Error is 0.5213～3.9148%.
Table 10 tensile strength, percentage elongation predicted value and actual value
Step 6: the user inputs expected performance
The extreme value scope of this tailor welded yield tensile ratio is: 0.68～0.75, and the user determines that the yield tensile ratio value is default.
Step 7: output Optimizing Process Parameters
x
1＝1400W，x
2-1.0m/min，x
3＝0.7mm，Rel＝224，Rm＝313MPa，A＝37％
Embodiment 4
Take the super drawing steel BUSD of 1.5mm High Strength Steel DOGAL800DP/2.0mm tailor welded tailor welded as example, welding procedure is identical with example 3, and modeling is identical with example 1 with Optimizing Flow and step.
Step 1: weldment sample (〉=9) related process data, as shown in table 11.
Table 11 weldment sample related process data
After embodiment 2 described step 2～steps 4, obtained the PLS forecast model group of mechanical property, as follows.
Tensile strength y
1For:
y
1＝-0.0271x
1+13.2568x
2-19.4452x
3+267.8816
Tensile strength y
2For:
y
2＝-0.0132x
1+7.8176x
2-22.8733x
3+347.6128
Percentage elongation y
3For:
y
3＝0.0033x
1-2.1053x
2+5.8724x
3+22.4861
Step 5: precision of prediction check and control
The process data of pre-processing module is imported the mechanical property module, carry out mechanical properties prediction, predict the outcome as shown in table 12.By as seen from Table 12, the yield strength relative error is 0.3931～3.9920%, and the tensile strength relative error is 0.3931～3.9920%, and the percentage elongation Relative Error is 1.6324～3.1255%.
Table 12 tensile strength, percentage elongation predicted value and actual value
Step 6: the user inputs expected performance
The extreme value scope of this tailor welded yield tensile ratio is: 0.70～0.78, and the user determines that the yield tensile ratio value is default.
Step 7: output Optimizing Process Parameters
x
1＝1016W，x
2-1.3m/min，x
3＝1mm，Rel＝238，Rm＝321MPa，A＝29％。
Claims (6)
1. the laser assembly solder plate technique optimizing system based on performance prediction is characterized in that, this system is comprised of SQL database, pre-processing module, mechanical properties prediction module, process optimization module, post-processing module;
Described SQL database has comprised tailor welded mother metal essential information;
Described pre-processing module is for the mother metal essential information and the welding condition that read the required weldment of laser beam welding from SQL database, for follow-up flow process provides primary condition;
Described mechanical properties prediction module by the simulation to the different process state, draws performance prediction value and the corresponding optimum PLS forecast model group of target relative error≤5%;
Described process optimization module, Optimal performance scope built-in in the SQL database is as foundation, this scope is the minimum ~ maximum of tailor welded yield tensile ratio, by the user after the mother metal essential information of the relevant weldment of input, all yield tensile ratio values of this tailor welded that the system that accesses is built-in, and it is selected; For selected a certain concrete yield tensile ratio value, inquire into the process program that obtains making tailor welded mechanical property optimum by the PLS forecast model group of optimum is counter;
Described post-processing module is used for finishing result's demonstration output, and employing form or graph mode are exported the result of process optimization module, export simultaneously the plain text analysis report.
2. the laser assembly solder plate technique optimization method based on performance prediction is characterized in that, the method may further comprise the steps:
(1) from SQL database, reads laser beam welding required mother metal essential information and welding condition, the step of primary condition is provided for follow-up flow process;
(2) in conjunction with mother metal essential information and the welding condition of weldment, the mother metal essential information comprises steel grade, composition and the sheet metal thickness specification to be welded of tailor welded, set up PLS mechanical properties prediction model group, and the PLS formula is carried out check and the control of precision, obtain the step of the highest PLS mechanical properties prediction model group of precision;
(3) in the SQL database built-in Optimal performance scope as foundation, this scope is the minimum～maximum of tailor welded yield tensile ratio, by the user after the mother metal essential information of the relevant weldment of input, all yield tensile ratio values of this tailor welded that the system that accesses is built-in, and it is selected; And according to selected a certain concrete yield tensile ratio value, ask the process program that obtains making tailor welded mechanical property optimum;
(4) welding condition is optimized in output.
3. the laser assembly solder plate technique optimization method based on performance prediction according to claim 2 is characterized in that, described step further comprises in (1), when welding condition reads errorlessly, then changes next step over to; Errors excepted, then return and again read welding condition; Described welding condition comprises: laser power, speed of welding and spot diameter.
4. the laser assembly solder plate technique optimization method based on performance prediction according to claim 2, it is characterized in that: described step specifically comprises in (2): adopt and intersect validity and determine the number of principal component, to obtain
PRESS h Minimized predictive equation utilizes target relative error 5
%Accuracy test and control, obtain the highest PLS mechanical properties prediction model group and the anti-optimum laser weld scheme that obtains of asking of inverse mapping of precision.
5. the laser assembly solder plate technique optimization method based on performance prediction according to claim 2, it is characterized in that, described step further comprises in (3), for selected a certain concrete yield tensile ratio value, inquire into the process program that obtains making tailor welded mechanical property optimum by the PLS forecast model group of optimum is counter; When user selection item when being default, the process optimization module then is defaulted as the Optimal performance value with the middle limit value of tailor welded yield tensile ratio extreme value scope, and draws thus corresponding optimum process scheme.
6. the laser assembly solder plate technique optimization method based on performance prediction according to claim 2 is characterized in that, adopts form, chart or plain text analysis report mode that the result of process optimization is shown output in the described step (4).
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| CN106312318A (en) * | 2015-06-23 | 2017-01-11 | 姚伟 | Laser welding process for St12 steel plate and welding quality control system for laser welding process |
| CN105136589A (en) * | 2015-08-14 | 2015-12-09 | 南京工程学院 | Method for testing forming limit of tailor welded blank during metal plate incremental forming |
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| CN112990650A (en) * | 2021-01-12 | 2021-06-18 | 北京钢研新材科技有限公司 | Raw material quality filtering method and system |
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| CN101119430A (en) * | 2006-07-31 | 2008-02-06 | 富士胶片株式会社 | Template generating apparatus, image layout apparatus, modified template generating apparatus, and programs therefor |
| CN101559512A (en) * | 2009-05-21 | 2009-10-21 | 山东大学 | Welding track detection and control method of plate butt weld based on laser ranging |
| CN101722371A (en) * | 2009-12-10 | 2010-06-09 | 江苏大学 | Laser welding weld joint/ heat affected zone shape and crystalline grain size prediction method |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2002024392A1 (en) * | 2000-09-21 | 2002-03-28 | Massachusetts Institute Of Technology | Spot welding system and method for sensing welding conditions in real time |
| JP4741478B2 (en) * | 2003-06-03 | 2011-08-03 | イーエスエービー・エービー | Laser welding process control system and method |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6281465B1 (en) * | 1996-10-02 | 2001-08-28 | Siemens Aktiengesellschaft | Device for predictive diagnosis of the current quality of technical production from a technical installation, particularly of the current quality of welding points of a spot welding robot |
| CN101119430A (en) * | 2006-07-31 | 2008-02-06 | 富士胶片株式会社 | Template generating apparatus, image layout apparatus, modified template generating apparatus, and programs therefor |
| CN101559512A (en) * | 2009-05-21 | 2009-10-21 | 山东大学 | Welding track detection and control method of plate butt weld based on laser ranging |
| CN101722371A (en) * | 2009-12-10 | 2010-06-09 | 江苏大学 | Laser welding weld joint/ heat affected zone shape and crystalline grain size prediction method |
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