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doi:10.22028/D291-29548
Title: | A Prediction-Model for an Improved Decision-making of Joining Technologies in the Early Stage of Automobile Body Development |
Author(s): | Choudry, Saphir A. Kaspar, Jerome Greinacher, Ferdinand Vielhaber, Michael |
Editor(s): | Sutherland, John W. Skerlos, Steven J. Zhao, Fu |
Language: | English |
Title: | Procedia CIRP |
Startpage: | 10 |
Endpage: | 14 |
Publisher/Platform: | Elsevier |
Year of Publication: | 2019 |
Place of publication: | Amsterdam |
Title of the Conference: | CIRP LCE 2019 |
Place of the conference: | West Lafayette, Indiana, USA |
Publikation type: | Conference Paper |
Abstract: | To date, the use of a wide variety of materials is a result of the increasingly complex multi-material design regarding the key challenge of stricter environmental regulations in the automotive sector while facing equivalent or even enhanced technical and economic benefits. Modern joining technologies additionally contribute to this challenge, whereby technologies for structural metal structures seem to be established. Examinations – which are very costly also in terms of time – are required to ensure the feasibility of a joining technology. However, historical data is not sufficiently available for multi-material design. Hence, this research presents a novel prediction-model for an improved decision-making of joining technologies, which interpolates potentials of still untested joining technologies in the early stage of lightweight engineering. |
DOI of the first publication: | 10.1016/j.procir.2019.01.084 |
URL of the first publication: | https://www.sciencedirect.com/science/article/pii/S2212827119300861 |
Link to this record: | hdl:20.500.11880/28294 http://dx.doi.org/10.22028/D291-29548 |
ISSN: | 2212-8271 |
Date of registration: | 14-Nov-2019 |
Notes: | Procedia CIRP, Volume 80, 2019, Pages 10-14 |
Faculty: | NT - Naturwissenschaftlich- Technische Fakultät |
Department: | NT - Systems Engineering |
Professorship: | NT - Prof. Dr. Michael Vielhaber |
Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
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