An Investigation on Tool Wear Prediction in Automotive Sheet Metal Stamping Die Using Numerical Simulation.
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| Title: | An Investigation on Tool Wear Prediction in Automotive Sheet Metal Stamping Die Using Numerical Simulation. |
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| Authors: | Wang, X. Z.1 xuwang@swin.edu.au, Masood, S. H.1 smasood@swin.edu.au, Dingle, M. E.2 mdingle@deakin.edu.au |
| Source: | International MultiConference of Engineers & Computer Scientists 2009. 2009, p1942-1946. 5p. 8 Diagrams, 1 Chart, 3 Graphs. |
| Subjects: | Mechanical wear, Sheet metal working machinery, Metal stamping, Dies (Metalworking), Simulation methods & models, Automotive engineering |
| Abstract: | Prediction of tool wear in rapid production of sheet metal stamping in automobile industries is a highly challenging task as there are many control parameters involved in the production of automotive panels. This paper presents a numerical simulation methodology to investigate the effects of various processing parameters, such as the lubrication, binder pressure and surface coating, on the critical tool worn area of a certain sheet metal stamping die used in automotive production. The simulation was performed using the finite element software AutoForm™. Various contact pressure distributions and tool wear predictions at the critical tool worn section of the die-workpiece interface, using different processing parameters, were obtained in the simulation, which provide informative guidelines for the on-site production. [ABSTRACT FROM AUTHOR] |
| Copyright of International MultiConference of Engineers & Computer Scientists 2009 is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 41021375 AccessLevel: 6 PubType: Book PubTypeId: book PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: An Investigation on Tool Wear Prediction in Automotive Sheet Metal Stamping Die Using Numerical Simulation. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Wang%2C+X%2E+Z%2E%22">Wang, X. Z.</searchLink><relatesTo>1</relatesTo><i> xuwang@swin.edu.au</i><br /><searchLink fieldCode="AR" term="%22Masood%2C+S%2E+H%2E%22">Masood, S. H.</searchLink><relatesTo>1</relatesTo><i> smasood@swin.edu.au</i><br /><searchLink fieldCode="AR" term="%22Dingle%2C+M%2E+E%2E%22">Dingle, M. E.</searchLink><relatesTo>2</relatesTo><i> mdingle@deakin.edu.au</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+MultiConference+of+Engineers+%26+Computer+Scientists+2009%22">International MultiConference of Engineers & Computer Scientists 2009</searchLink>. 2009, p1942-1946. 5p. 8 Diagrams, 1 Chart, 3 Graphs. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Mechanical+wear%22">Mechanical wear</searchLink><br /><searchLink fieldCode="DE" term="%22Sheet+metal+working+machinery%22">Sheet metal working machinery</searchLink><br /><searchLink fieldCode="DE" term="%22Metal+stamping%22">Metal stamping</searchLink><br /><searchLink fieldCode="DE" term="%22Dies+%28Metalworking%29%22">Dies (Metalworking)</searchLink><br /><searchLink fieldCode="DE" term="%22Simulation+methods+%26+models%22">Simulation methods & models</searchLink><br /><searchLink fieldCode="DE" term="%22Automotive+engineering%22">Automotive engineering</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Prediction of tool wear in rapid production of sheet metal stamping in automobile industries is a highly challenging task as there are many control parameters involved in the production of automotive panels. This paper presents a numerical simulation methodology to investigate the effects of various processing parameters, such as the lubrication, binder pressure and surface coating, on the critical tool worn area of a certain sheet metal stamping die used in automotive production. The simulation was performed using the finite element software AutoForm™. Various contact pressure distributions and tool wear predictions at the critical tool worn section of the die-workpiece interface, using different processing parameters, were obtained in the simulation, which provide informative guidelines for the on-site production. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International MultiConference of Engineers & Computer Scientists 2009 is the property of International Association of Engineers (IAENG) and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 5 StartPage: 1942 Subjects: – SubjectFull: Mechanical wear Type: general – SubjectFull: Sheet metal working machinery Type: general – SubjectFull: Metal stamping Type: general – SubjectFull: Dies (Metalworking) Type: general – SubjectFull: Simulation methods & models Type: general – SubjectFull: Automotive engineering Type: general Titles: – TitleFull: An Investigation on Tool Wear Prediction in Automotive Sheet Metal Stamping Die Using Numerical Simulation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wang, X. Z. – PersonEntity: Name: NameFull: Masood, S. H. – PersonEntity: Name: NameFull: Dingle, M. E. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2009 Type: published Y: 2009 Titles: – TitleFull: International MultiConference of Engineers & Computer Scientists 2009 Type: main |
| ResultId | 1 |
