Automotive manufacturers have been struggling with the big challenge of how to produce dimensionally acceptable stamped parts with minimal material cost. The thin nature of the sheet metal has always complicated the process and made the dimensional quality objectives difficult to achieve. The final layout quality is impacted by several...
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2014 (v1)Journal articleUploaded on: March 25, 2023
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October 28, 2013 (v1)Conference paper
International audience
Uploaded on: December 2, 2022 -
October 28, 2013 (v1)Conference paper
International audience
Uploaded on: October 11, 2023 -
May 19, 2013 (v1)Conference paper
One of the biggest challenges in automotive industry focuses on weight reduction in sheet metal forming operations, in order to produce a high quality metal part with minimal cost production. Stamping is the most widely used sheet metal forming process; but its implementation introduces several diffi culties such as springback and failure. A...
Uploaded on: December 3, 2022 -
May 19, 2013 (v1)Conference paper
One of the biggest challenges in automotive industry focuses on weight reduction in sheet metal forming operations, in order to produce a high quality metal part with minimal cost production. Stamping is the most widely used sheet metal forming process; but its implementation introduces several diffi culties such as springback and failure. A...
Uploaded on: October 11, 2023 -
September 8, 2013 (v1)Conference paper
International audience
Uploaded on: December 2, 2022 -
July 2014 (v1)Journal article
One of the hottest challenges in automotive industry is related to weight reduction in sheet metal forming processes, in order to produce a high quality metal part with minimal material cost. Stamping is the most widely used sheet metal forming process; but its implementation comes with several fabrication flaws such as springback and failure....
Uploaded on: March 25, 2023 -
September 8, 2013 (v1)Conference paper
International audience
Uploaded on: October 11, 2023 -
2014 (v1)Journal article
The aim of this paper is to present a method to perform evolutionary multi-objective optimization of CPU intensive sheet metal forming applications using kriging surrogates. Two main ingredients are employed to achieve this goal. First of all, given a learning dataset, the kriging surrogate is designed to minimize the leave-one-out error....
Uploaded on: March 25, 2023