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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
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2018 (English)In: Journal of Physics: Conference Series (JPCS), Institute of Physics Publishing (IOPP), 2018., 2018Conference 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
2018.
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-16613OAI: 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 FoundationAvailable from: 2018-06-23 Created: 2018-06-23 Last updated: 2018-06-27Bibliographically approved

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Tatipala, SravanPilthammar, JohanSigvant, MatsWall, JohanJohansson, Christian
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CiteExportLink to record
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