Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Introductory study of sheet metal forming simulations to evaluate process robustness
Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering. ((Product Development Research Lab))ORCID iD: 0000-0002-8601-6825
Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering. Volvo Cars.ORCID iD: 0000-0002-6526-976X
Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering. Volvo Cars.ORCID iD: 0000-0002-7730-506X
Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering. ((Product Development Research Lab))ORCID iD: 0000-0002-7804-7306
Show others and affiliations
2018 (English)In: IOP Conference Series: Materials Science and Engineering, Institute of Physics Publishing (IOPP), 2018, Vol. 418, article id 012111Conference paper, Published paper (Refereed)
Abstract [en]

The ability to control quality of a part is gaining increased importance with desires to achieve zero-defect manufacturing. Two significant factors affecting process robustness in production of deep drawn automotive parts are variations in material properties of the blanks and the tribology conditions of the process. It is imperative to understand how these factors influence the forming process in order to control the quality of a formed part. This paper presents a preliminary investigation on the front door inner of a Volvo XC90 using a simulation-based approach. The simulations investigate how variation of material and lubrication properties affect the numerical predictions of part quality. To create a realistic lubrication profile in simulations, data of pre-lube lubrication amount, which is measured from the blanking line, is used. Friction models with localized friction conditions are created using TriboForm and is incorporated into the simulations. Finally, the Autoform-Sigmaplus software module is used to create and vary parameters related to material and lubrication properties within a user defined range. On comparing and analysing the numerical investigation results, it is observed that a correlation between the lubrication profile and the predicted part quality exists. However, variation in material properties seems to have a low influence on the predicted part quality. The paper concludes by discussing the relevance of such investigations for improved part quality and proposing suggestions for future work.

Place, publisher, year, edition, pages
Institute of Physics Publishing (IOPP), 2018. Vol. 418, article id 012111
Series
IOP Conference Series: Materials Science and Engineering, ISSN 1757-8981
Keywords [en]
Sheet Metal Forming, Friction Modelling, Process Robustness, Zero Defect Manufacturing, Industry 4.0, Digitization, Production Engineering.
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:bth-16613DOI: 10.1088/1757-899X/418/1/012111OAI: oai:DiVA.org:bth-16613DiVA, id: diva2:1222904
Conference
37th IDDRG Conference - Forming of High Performance Sheet Materials and Components, Waterloo, Canada.
Projects
Model Driven Development and Decision Support
Funder
Knowledge Foundation
Note

open access

Available from: 2018-06-23 Created: 2018-06-23 Last updated: 2018-10-18Bibliographically approved

Open Access in DiVA

fulltext(10504 kB)12 downloads
File information
File name FULLTEXT02.pdfFile size 10504 kBChecksum SHA-512
6a4df52f0840e4aba6402f6b64771564c8a612572064bcff424c68a90ff0ec006163e68f4a7a03ed880ed7ea07e9ec2bb82439a60135599da71599c66c9203ff
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Authority records BETA

Tatipala, SravanPilthammar, JohanSigvant, MatsWall, Johan

Search in DiVA

By author/editor
Tatipala, SravanPilthammar, JohanSigvant, MatsWall, JohanJohansson, Christian
By organisation
Department of Mechanical Engineering
Mechanical Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 53 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 337 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf