CN106096259A - Materials failure analysis method - Google Patents
Materials failure analysis method Download PDFInfo
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- CN106096259A CN106096259A CN201610398677.4A CN201610398677A CN106096259A CN 106096259 A CN106096259 A CN 106096259A CN 201610398677 A CN201610398677 A CN 201610398677A CN 106096259 A CN106096259 A CN 106096259A
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- inefficacy
- failure
- materials
- analysis method
- failure analysis
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Z—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS, NOT OTHERWISE PROVIDED FOR
- G16Z99/00—Subject matter not provided for in other main groups of this subclass
Abstract
The invention discloses a kind of Materials failure analysis method, wherein, comprise the following steps: obtain the inefficacy background of inefficacy part;Inefficacy part is carried out visual examination, obtains the fail message of inefficacy part;Searching the material failure data mated with described inefficacy background and/or described fail message in Materials failure analysis data base, obtain described inefficacy part estimates failure cause;According to estimating failure cause, described inefficacy part is carried out fracture observation, obtain the failure mode of described inefficacy part;Use material analysis method that described inefficacy part is analyzed with the part that do not lost efficacy, obtain comparing result;According to described failure mode and described comparing result, determine the failure cause of described inefficacy part.Utilize the present invention can improve efficiency and the level of Materials failure analysis personnel.
Description
Technical field
The present invention relates to field of material technology, be specifically related to a kind of Materials failure analysis method.
Background technology
At present, some large enterprises and scientific research institutions or have set up the Materials failure analysis data base of oneself, example
As: " the drill pipe of oil well material failure security incident case library " of China National Petroleum group tubing institute;Beijing chemical industry is big
Learn " the material corrosion data base " of exploitation;In Department of Science and Technology's scientific and technological basic condition terrace project, " cooperation of whole nation Institute of Analysis is flat
Platform and the foundation of emergency analysis test system " support lower " metal material lost efficacy and causes the data base of major accident case " set up
Deng.Also the fail data of oneself is had to share case additionally, mechanism is tested in a lot of third-party testing analyses, such as " precious smelting failure analysis "
Deng.
But, these above-mentioned Databases are both for respective industry, are very difficult to apply in other technologies field, and
And for reasons such as secrecy, some data not external disclosure.As a example by automobile industry, the metallic element of automobile has up to ten thousand
Individual, of a great variety, there is larger difference in Service Environment, and failure mode is the most varied, and the scope of one's knowledge related to is the widest, was losing efficacy
During analysis, the requirement to failure analysis personnel is higher, due to the individual variation of failure analysis personnel in reality, causes material
Failure analysis is inefficient, and analysis level differs.
Summary of the invention
In view of this, the present invention proposes a kind of Materials failure analysis method, can improve the efficiency of Materials failure analysis personnel
And analysis level.
The present invention proposes a kind of Materials failure analysis method, and it comprises the following steps: obtain the inefficacy background of inefficacy part;
Inefficacy part is carried out visual examination, obtains the fail message of inefficacy part;Materials failure analysis data base searches and institute
Stating inefficacy background and/or the material failure data of described fail message coupling, obtain described inefficacy part estimates failure cause;
According to estimating failure cause, described inefficacy part is carried out fracture observation, obtain the failure mode of described inefficacy part;Use material
Described inefficacy part is analyzed by material analytic process with the part that do not lost efficacy, and obtains comparing result;According to described failure mode
With described comparing result, determine the failure cause of described inefficacy part.
Preferably, wherein said fracture is observed and is included the observation to original fracture and to the observation of fracture after cleaning.
Preferably, wherein said failure mode is fatigue, weares and teares, corrodes and/or rupture.
Preferably, wherein said material analysis method includes at least one in the following: the detection of size detection, metallographic,
Mechanical performance detection, Non-Destructive Testing, ingredient analysis, stress analysis detection.
Preferably, wherein said Materials failure analysis data base includes that the data of testing of materials case and material failure are divided
Analyse the data of case, and the data in data base carry out list according to keyword message to described failure cause of estimating.
Preferably, wherein said keyword message includes at least one in the following: task odd numbers, vehicle platform,
Engine flat, item number, sector of demand, part name, No. VPPS, Part No., VIN number, material trademark, material standard, material
Material classification, raw material supplier, test-types, test event, testing standard, test equipment, test data, data link, need
Ask background, failure analysis.
Preferably, wherein said inefficacy background includes the title of inefficacy part, the loading conditions of inefficacy part, assembling feelings
Condition, use time situation, lost efficacy time situation and inefficacy part estimate failure mode.
Preferably, wherein said fail message includes the integral status of inefficacy part, position, inefficacy part place, inefficacy zero
The matching relationship of place field conditions and inefficacy part and adjacent component when part place system status, inefficacy part failure.
Preferably, after the described failure cause determining described inefficacy part, described method also includes: to failure cause
Verify;According to failure cause, change scheme is proposed inefficacy part.
The Materials failure analysis method that the embodiment of the present invention provides is according to the inefficacy background of inefficacy part and/or fail message
Material analysis data storehouse is searched and draws and estimate failure cause, assistant analysis personnel can carry out the logical judgment of failure analysis,
Find out failure cause offer guide direction for analyzing inefficacy part, improve analysis efficiency and the analysis level of analysis personnel.
Accompanying drawing explanation
Fig. 1 is the flow chart of the Materials failure analysis method of one embodiment of the invention.
Fig. 2 is the server internal flow chart of data processing figure of the Materials failure analysis data base of the embodiment of the present invention.
Fig. 3 is the flow chart of the Materials failure analysis method of one embodiment of the invention.
Fig. 4 is the Query Result display figure of the Materials failure analysis data base of the embodiment of the present invention.
Detailed description of the invention
Below in conjunction with accompanying drawing and specific embodiment, technical scheme is described in detail.
Fig. 1 shows that the flow chart of Materials failure analysis method, Materials failure analysis method comprise the following steps:
Obtain the inefficacy background of inefficacy part;
Inefficacy part is carried out visual examination, obtains the fail message of inefficacy part;
In Materials failure analysis data base, search the material mated with described inefficacy background and/or described fail message lose
Effect data, obtain described inefficacy part estimates failure cause;
According to estimating failure cause, described inefficacy part is carried out fracture observation, obtain the inefficacy shape of described inefficacy part
Formula;
Use material analysis method that described inefficacy part is analyzed with the part that do not lost efficacy, obtain comparing result;
According to described failure mode and described comparing result, determine the failure cause of described inefficacy part.
The Materials failure analysis method that the embodiment of the present invention provides is according to the inefficacy background of inefficacy part and/or fail message
Material analysis data storehouse is searched and draws and estimate failure cause, assistant analysis personnel can carry out the logical judgment of failure analysis,
Find out failure cause offer guide direction for analyzing inefficacy part, improve analysis efficiency and the analysis level of analysis personnel.
Further, before carrying out Materials failure analysis, Materials failure analysis method also includes that setting up material failure divides
Analysis data base, specifically comprises the following steps:
Inefficacy case is scanned for, obtains the data source of inefficacy case;
Flow process and the flow process of failure analysis, the keyword message of definition predetermined quantity are issued in exploitation according to part;
Data source filling, and upload server is carried out according to keyword message.
In the embodiment of table 1, define 19 keyword messages, respectively task odd numbers, vehicle platform/electromotor and put down
Platform, item number, sector of demand, part name, VPPS/ Part No./VIN number, material trademark, material standard, material classification, former material
Material supplier, test-types, test event, testing standard, test equipment, test data, data link, requirement background, inefficacy
Analyze and remarks.Microsoft SQL Server is utilized to collect the inefficacy case of automobile metal material, according to 19 keys
Word information carries out data source filling, uploads onto the server, and then arranges formation data base.Data base is entered by user by client
Row accesses.
Materials failure analysis data base includes data and the data of Materials failure analysis case of testing of materials case, and
Data in data base carry out list according to keyword message to described failure cause of estimating.
When Materials failure analysis data base is conducted interviews by user by log-in interface, user can input 19 keys
Any one or more content of word information, then clicks on search, and server can be selected and search for what content matched by Automatic sieve
Content, is sent to client, and user can click on relevant entry and browse details.As in figure 2 it is shown, at server internal data
Reason flow process is as follows:
The keyword message that client inputs according to user proposes search matching operation request to server, server according to
The kind of request and requirement, be distributed to Business Logic and carry out data process, and Business Logic calls Back end data layer and completes number
According to coupling search, screen corresponding data, fill result, be eventually sent to client, check for user.
Table 1 keyword message and applicating example
Further, it is determined that after the failure cause of described inefficacy part, this Materials failure analysis method also includes:
Failure cause is verified;
According to failure cause, change scheme is proposed inefficacy part.
After proposing change scheme, then the part after change is carried out checking test.If checking success of the test, illustrate to lose efficacy
Reason is correct, can import in material failure analysis data base by the related data of this case, in order to follow-up consult.If tested
Confirmatory test is unsuccessful, then again search failure cause.
Below by a certain C platform vehicle rear stabilizer bar clip when having a try and test in road as a example by Cracking Failure, illustrative material lost efficacy
The idiographic flow of analysis method, refers to Fig. 3, specifically,
Obtain the inefficacy background of inefficacy part;
In an embodiment of the present invention, the inefficacy background of auto parts include the loading conditions of inefficacy part, assembling situation,
Situation during use, situation, the title of inefficacy part and inefficacy part estimated failure mode etc. when losing efficacy.Estimate failure mode bag
Include fracture failure, deformation failure and surface damage to lose efficacy.
Stabiliser bar clip act as fixed stably fixed pole;It is primarily subjected to cyclic load;When road examination about 50%, staff
When checking vehicle-state, find clip corner cracking.This clip lost efficacy and belonged to fracture failure.
Inefficacy part is carried out visual examination, obtains the fail message of inefficacy part;
Fail message include the integral status of inefficacy part, position, inefficacy part place, inefficacy part place system and/or
The matching relationship etc. of place field conditions, inefficacy part and other adjacent components during inefficacy part failure.Inefficacy part place is
System includes engine system, chassis system, bodywork system, automobile electric appliance system etc..Also inefficacy part and failure site can be entered
Line flag and Taking Pictures recording, to preserve data.
In Materials failure analysis data base, search inefficacy background and/or the fail message with described inefficacy part match
Material failure data, draw and estimate failure cause;
In Materials failure analysis data base, search the case same or like with this case failure mode and/inefficacy background
Example, as reference.Such as, the part name in Materials failure analysis data base inputs " clip " search, obtains data base
Query Result, as shown in Figure 4.Opening data one by one to inquire about, wherein in this case, the failure mode of clip is relevant to K platform
LWT-MAT-2036,2063,2133,2150 describe similar with the inefficacy of 2163, and its failure cause is turning transition arc
There is the micro-flaw of bending in place, then in this case, the failure cause of estimating of clip is to there is the micro-of bending at the transition arc of turning
Crackle.
According to estimating failure cause, inefficacy part is carried out fracture observation, obtain fracture information;
Fracture is observed and is included the observation of fracture after the observation of original fracture and cleaning.Observational technique has two classes, the lowest
Observe again and high power is observed.Low power is observed the most visually, and hand magnifying glass, Stereo microscope etc. is observed;High power is seen
Examine and mainly use scanning electron microscope, transmission electron microscope etc. that fracture is observed.
In an embodiment of the present invention, it is only cracking due to clip, ruptures the most completely.At this time, it may be necessary to fracture is cut
Open, after being cleaned by fracture, use scanning electron microscope to carry out high power observation.Also first original fracture can be carried out low power sight
Examine, then clean fracture, carry out high power observation.
According to fracture information, it is determined that failure mode;
Failure mode includes fatigue, weares and teares, corrodes and/or fracture etc..According to the result of fracture, infer the mistake of inefficacy part
Effect form: according to vestige result tired on fracture, failure mode is judged to fatigue fracture.
Use material analysis method that inefficacy part is analyzed with the part that do not lost efficacy, obtain comparing result;
Material analysis method includes: the detection of size detection, metallographic, mechanical performance, Non-Destructive Testing, composition detection and stress divide
Analysis etc..Wherein, the detection project of metallographic detection includes crystallite dimension, surface process, heat-treated sturcture and microdefect etc.;Machinery
The detection project of performance includes: hardness, compresses, stretch, bend and impact flexibility etc.;The detection project of Non-Destructive Testing includes whirlpool
Stream, magnetic powder, ultrasound wave, CT and internal stress test etc.;The detection project of composition detection includes fracture composition and matrix composition etc.;Should
The detection project of power analysis includes load when using and stress distribution etc..
One or more using in material analysis method carry out comparison and detection to inefficacy part with the part that do not lost efficacy and divide
Analysis, detection project can also be chosen one or more, find out difference between the two by Determination, obtains contrast knot
Really.The part that do not lost efficacy can use by part or import parts or not make the identical parts in appliance or other vehicles, wherein, passes through
Part refers to be arranged on vehicle body, at the part that experimental stage was not lost efficacy by test.In embodiments of the invention, to inefficacy part
Appliance is not made to have carried out the comparison and detection of metallographic and hardness test.
In other embodiments, if be distinctly claimed during inefficacy part processing and fabricating, if dimensional discrepancy is less than GB, right
When inefficacy part carries out a certain detection project, reference may also be made to the drawing requirement of part.
Failure mode according to inefficacy part and comparing result, determine the failure cause of inefficacy part;
By to inefficacy part with do not make appliance carry out comparison and detection, testing result is: disabling elements and do not make appliance hardness
No significant difference, the metallographic no significant difference of core structure.But, all find in the metallographic structure of the cross section sample at turning
Have a crackle, and crack length be more than 477um, and do not use the crack length of part up to 377um, the position that crackle occurs with open
Split invalid position consistent.Therefore failure cause is attributed to: introduce micro-flaw due to bending technique in the fabrication process, cause the later stage
Fatigue cracking in process of the test lost efficacy.This judgement reason is with to estimate failure cause identical.
According to failure cause, change scheme is proposed inefficacy part;
Clip is carried out stress loading analysis, show that clip stress is the most little, but need 90-degree bent in the fabrication process, right
The formability of material itself requires higher.Need this situation of 90-degree bent for clip, after bending technique, increase by one grinding
Technique, to remove the microscope crackle produced in manufacture, reduces stress and concentrates.
Part after change is re-started checking test.
If the part after Geng Gai is by checking, not losing efficacy, and illustrated that failure cause analysis was correct, change scheme has
Effect.Then, by all material uploads of this clip failure analysis to Materials failure analysis data base in case inquiry reference.
If not verified test, then again inefficacy part is carried out failure analysis according to above-mentioned steps, find out inefficacy
Reason, till testing by checking.
Above, being described in detail technical scheme in conjunction with specific embodiments, described is embodied as
Example is adapted to assist in the thought understanding the present invention.The derivation that those skilled in the art make on the basis of the specific embodiment of the invention
Within falling within scope with modification.
Claims (9)
1. a Materials failure analysis method, it is characterised in that comprise the following steps:
Obtain the inefficacy background of inefficacy part;
Inefficacy part is carried out visual examination, obtains the fail message of inefficacy part;
The material failure number mated with described inefficacy background and/or described fail message is searched in Materials failure analysis data base
According to, obtain described inefficacy part estimates failure cause;
According to estimating failure cause, described inefficacy part is carried out fracture observation, obtain the failure mode of described inefficacy part;
Use material analysis method that described inefficacy part is analyzed with the part that do not lost efficacy, obtain comparing result;
According to described failure mode and described comparing result, determine the failure cause of described inefficacy part.
2. Materials failure analysis method as claimed in claim 1, it is characterised in that wherein said fracture is observed and included original
The observation of fracture and to the observation of fracture after cleaning.
3. Materials failure analysis method as claimed in claim 1, it is characterised in that wherein said failure mode is tired, mill
Damage, corrode and/or rupture.
4. Materials failure analysis method as claimed in claim 1, it is characterised in that wherein said material analysis method includes following
At least one in every: the detection of size detection, metallographic, mechanical performance detection, Non-Destructive Testing, ingredient analysis, stress analysis inspection
Survey.
5. Materials failure analysis method as claimed in claim 1, it is characterised in that wherein said Materials failure analysis data base
Include data and the data of Materials failure analysis case of testing of materials case, and the data in data base are believed according to keyword
Breath carries out list to described failure cause of estimating.
6. Materials failure analysis method as claimed in claim 1, it is characterised in that wherein said keyword message includes following
At least one in every: task odd numbers, vehicle platform, engine flat, item number, sector of demand, part name, VPPS
Number, Part No., VIN number, material trademark, material standard, material classification, raw material supplier, test-types, test event, survey
Test-object is accurate, test equipment, test data, data link, requirement background, failure analysis.
7. the Materials failure analysis method as described in claim 1-6 is arbitrary, it is characterised in that wherein said inefficacy background includes
The title of inefficacy part, the loading conditions of inefficacy part, assembling situation, situation when using, situation and inefficacy part when losing efficacy
Estimate failure mode.
8. the Materials failure analysis method as described in claim 1-6 is arbitrary, it is characterised in that wherein said fail message includes
When the integral status of inefficacy part, position, inefficacy part place, inefficacy part place system status, inefficacy part failure, place is existing
The matching relationship of situation and inefficacy part and adjacent component.
9. the Materials failure analysis method as described in claim 1-6 is arbitrary, it is characterised in that determine described inefficacy zero described
After the failure cause of part, described method also includes:
Failure cause is verified;
According to failure cause, change scheme is proposed inefficacy part.
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Cited By (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107480230A (en) * | 2017-08-04 | 2017-12-15 | 南京国电南自电网自动化有限公司 | A kind of power automatic device failure analysis Database Management System Design method |
CN108717463A (en) * | 2018-05-28 | 2018-10-30 | 江铃汽车股份有限公司 | A kind of Materials failure analysis database building method |
CN109508332A (en) * | 2018-11-12 | 2019-03-22 | 江铃汽车股份有限公司 | A kind of vehicle disablement data management system based on ACCESS |
CN109655098A (en) * | 2017-10-10 | 2019-04-19 | 中国科学院物理研究所 | The failure analysis method of secondary cell battery core |
CN109977591A (en) * | 2019-04-09 | 2019-07-05 | 天津理工大学 | A kind of analysis method of semi-autogenous mill bainitic steel liner plate failure |
CN110196256A (en) * | 2019-06-06 | 2019-09-03 | 上海机器人产业技术研究院有限公司 | A kind of mechanical failure analysis method of semiconductor devices |
CN112798601A (en) * | 2020-12-29 | 2021-05-14 | 国高材高分子材料产业创新中心有限公司 | Method and device for analyzing failure reasons of plastic structural part |
CN112881642A (en) * | 2021-01-15 | 2021-06-01 | 宝钢特钢韶关有限公司 | Analysis method of material failure crack source |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2002091793A (en) * | 2000-09-18 | 2002-03-29 | Hitachi Electronics Service Co Ltd | Measure system to counter information processing fault and recording medium |
US6728660B2 (en) * | 1999-02-22 | 2004-04-27 | Northeast Equipment, Inc. | Apparatus and method for monitoring and maintaining plant equipment |
CN1967573A (en) * | 2005-11-17 | 2007-05-23 | 鸿富锦精密工业(深圳)有限公司 | System and method for reliability analysis of electron products |
US7509538B2 (en) * | 2004-04-21 | 2009-03-24 | Microsoft Corporation | Systems and methods for automated classification and analysis of large volumes of test result data |
CN102054103A (en) * | 2010-12-28 | 2011-05-11 | 中国航空工业集团公司北京航空材料研究院 | Failure analysis expert system based member failure mode detection method |
CN104268383A (en) * | 2014-09-17 | 2015-01-07 | 合肥通用机械研究院 | Safety evaluation method for high-temperature pressure pipeline containing crack defects |
-
2016
- 2016-06-07 CN CN201610398677.4A patent/CN106096259B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6728660B2 (en) * | 1999-02-22 | 2004-04-27 | Northeast Equipment, Inc. | Apparatus and method for monitoring and maintaining plant equipment |
JP2002091793A (en) * | 2000-09-18 | 2002-03-29 | Hitachi Electronics Service Co Ltd | Measure system to counter information processing fault and recording medium |
US7509538B2 (en) * | 2004-04-21 | 2009-03-24 | Microsoft Corporation | Systems and methods for automated classification and analysis of large volumes of test result data |
CN1967573A (en) * | 2005-11-17 | 2007-05-23 | 鸿富锦精密工业(深圳)有限公司 | System and method for reliability analysis of electron products |
CN102054103A (en) * | 2010-12-28 | 2011-05-11 | 中国航空工业集团公司北京航空材料研究院 | Failure analysis expert system based member failure mode detection method |
CN104268383A (en) * | 2014-09-17 | 2015-01-07 | 合肥通用机械研究院 | Safety evaluation method for high-temperature pressure pipeline containing crack defects |
Non-Patent Citations (9)
Title |
---|
丁言波,等;: "螺栓断裂原因实验与分析", 《机械制造与研究》 * |
刘艳琳,等;: "减震器托架断裂失效分析", 《精密成形工程》 * |
刘鹏鹏,等;: "汽车用金属材料数据库的开发及应用", 《汽车实用技术》 * |
朱敏,等;: "输水管道腐蚀失效分析", 《腐蚀科学与防护技术》 * |
李阿玲,: "失效分析技术应用研究", 《中国优秀硕士学位论文全文数据库信息科技辑(月刊)》 * |
杜少丹,: "电子元器件失效机理研究及失效分析信息管理系统实现", 《中国优秀硕士学位论文全文数据库信息科技辑(月刊)》 * |
杨瑞成,等编著;: "《失效分析与选材2014年12月第1版》", 31 December 2014 * |
薛义,: "某压缩机螺栓连接断裂失效分析", 《中国优秀硕士学位论文全文数据库工程科技II辑》 * |
顾锐,: "汽车公司产品功能失效问题的研发对策研究", 《A汽车公司产品功能失效问题的研发对策研究》 * |
Cited By (8)
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---|---|---|---|---|
CN107480230A (en) * | 2017-08-04 | 2017-12-15 | 南京国电南自电网自动化有限公司 | A kind of power automatic device failure analysis Database Management System Design method |
CN109655098A (en) * | 2017-10-10 | 2019-04-19 | 中国科学院物理研究所 | The failure analysis method of secondary cell battery core |
CN108717463A (en) * | 2018-05-28 | 2018-10-30 | 江铃汽车股份有限公司 | A kind of Materials failure analysis database building method |
CN109508332A (en) * | 2018-11-12 | 2019-03-22 | 江铃汽车股份有限公司 | A kind of vehicle disablement data management system based on ACCESS |
CN109977591A (en) * | 2019-04-09 | 2019-07-05 | 天津理工大学 | A kind of analysis method of semi-autogenous mill bainitic steel liner plate failure |
CN110196256A (en) * | 2019-06-06 | 2019-09-03 | 上海机器人产业技术研究院有限公司 | A kind of mechanical failure analysis method of semiconductor devices |
CN112798601A (en) * | 2020-12-29 | 2021-05-14 | 国高材高分子材料产业创新中心有限公司 | Method and device for analyzing failure reasons of plastic structural part |
CN112881642A (en) * | 2021-01-15 | 2021-06-01 | 宝钢特钢韶关有限公司 | Analysis method of material failure crack source |
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