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Creating a Virtual Shadow of the Manufacturing of Automotive Components
Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering.ORCID iD: 0000-0001-9889-6746
Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering.ORCID iD: 0000-0002-3876-5602
TATA Steel R&D, The Netherlands.
Blekinge Institute of Technology, Faculty of Engineering, Department of Mechanical Engineering.ORCID iD: 0000-0002-6526-976x
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2024 (English)In: 43RD International deep drawing research group, IDDRG Conference, 2024 / [ed] Rolfe, B ; Weiss, M ; Yoon, J ; Zhang, PN, Institute of Physics (IOP), 2024, article id 012037Conference paper, Published paper (Refereed)
Abstract [en]

Within the automotive industry, there is an increasing demand for a paradigmshift in terms of which materials are used for the manufacturing of the automotive body. Globalclimate goals are forcing a rapid adaption of new, advanced, sustainable material grades suchas the fossil free steels and materials containing higher scrap content. With the introduction ofthese new and untested materials, methods for accounting for variation in material propertiesare needed directly in the press lines.The following study will focus on creating an initial virtual shadow of the manufacturing of aVolvo XC90 inner door panel through the application of Artificial Neural Networks (ANN). Thevirtual shadow differs from the concept of the digital twin by only being a virtual representationof the production line, with training data generated exclusively by numerical simulations, andhaving no automated communication with the physical press line control system. The virtualshadow can be used as an assistance to the press line operators to see how different press linesettings and material parameter variations will impact the quality of the stamped component.The study aims to validate the virtual shadow through accurate predictions of the materialdraw-in measured in the physical press line.

Place, publisher, year, edition, pages
Institute of Physics (IOP), 2024. article id 012037
Series
IOP Conf. Series: Materials Science and Engineering, ISSN 1757-899X ; 1307
National Category
Applied Mechanics
Research subject
Mechanical Engineering
Identifiers
URN: urn:nbn:se:bth-26332DOI: 10.1088/1757-899X/1307/1/012037ISI: 001245186500037OAI: oai:DiVA.org:bth-26332DiVA, id: diva2:1865218
Conference
43rd Conference of the International-Deep-Drawing-Research-Group (IDDRG) on Sustainable Sheet Forming - Circular Economy, Melbourne, Mar 12-15, 2024
Projects
Eureka SMART I-Stamp
Funder
Vinnova, 2021-03144Available from: 2024-06-04 Created: 2024-06-04 Last updated: 2024-10-04Bibliographically approved

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Barlo, AlexanderAeddula, OmsriPilthammar, JohanSigvant, Mats

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