Tailoring Material Scatter for Metal Forming Processes based on Inverse Robust Optimization

Omid  Nejadseyfi; Bert Geijselaers; Antonius H. van den Boogaard

doi:10.1063/1.5112660

Tailoring Material Scatter for Metal Forming Processes based on Inverse Robust Optimization

Omid Nejadseyfi^*, Bert Geijselaers, Antonius H. van den Boogaard

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

Robust optimization is a powerful method to find the parameters for a process at which its output is least sensitive to the variation of the input parameters. In this method, measured or estimated noise parameters are used to estimate the scatter of the output. At the optimum design, the variation in noise parameters leads to a minimum scatter of the output. If this minimum scatter of the output does not meet the specified tolerance, then the input noise must be adjusted accordingly. This means for example that materials with a tighter specification must be ordered, which usually incurs additional costs. In this article, an inverse method is presented to tailor the variation of noise parameters based on the allowable tolerance in the output. This method is successfully applied to a non-linear process, lab-type B-pillar part. The results show how to adjust the input noise parameters at a minimum cost to meet the required output tolerance.

Original language	English
Title of host publication	Proceedings of the 22nd International ESAFORM Conference on Material Forming, ESAFORM 2019
Editors	Pedro Arrazola, Eneko Saenz de Argandona, Nagore Otegi, Joseba Mendiguren, Mikel Saez de Buruaga, Aitor Madariaga, Lander Galdos
Publisher	American Institute of Physics
Number of pages	6
Volume	2113
ISBN (Electronic)	9780735418479
ISBN (Print)	978-0-7354-1847-9
DOIs	https://doi.org/10.1063/1.5112660
Publication status	Published - 2 Jul 2019
Event	22nd International Conference on Material Forming 2019 - Votoria-Gasteiz, Spain Duration: 8 May 2019 → 10 May 2019 Conference number: 22 https://esaform2019.mondragon.edu/en/home

Publication series

Name	AIP Conference Proceedings
Volume	2113
ISSN (Print)	0094-243X
ISSN (Electronic)	1551-7616

Conference

Conference	22nd International Conference on Material Forming 2019
Abbreviated title	ESAFORM 2019
Country/Territory	Spain
City	Votoria-Gasteiz
Period	8/05/19 → 10/05/19
Internet address	https://esaform2019.mondragon.edu/en/home

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10.1063/1.5112660

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Nejadseyfi, O., Geijselaers, B., & van den Boogaard, A. H. (2019). Tailoring Material Scatter for Metal Forming Processes based on Inverse Robust Optimization. In P. Arrazola, E. Saenz de Argandona, N. Otegi, J. Mendiguren, M. Saez de Buruaga, A. Madariaga, & L. Galdos (Eds.), Proceedings of the 22nd International ESAFORM Conference on Material Forming, ESAFORM 2019 (Vol. 2113). [120005] (AIP Conference Proceedings; Vol. 2113). American Institute of Physics. https://doi.org/10.1063/1.5112660

Nejadseyfi, Omid ; Geijselaers, Bert ; van den Boogaard, Antonius H. / Tailoring Material Scatter for Metal Forming Processes based on Inverse Robust Optimization. Proceedings of the 22nd International ESAFORM Conference on Material Forming, ESAFORM 2019. editor / Pedro Arrazola ; Eneko Saenz de Argandona ; Nagore Otegi ; Joseba Mendiguren ; Mikel Saez de Buruaga ; Aitor Madariaga ; Lander Galdos. Vol. 2113 American Institute of Physics, 2019. (AIP Conference Proceedings).

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title = "Tailoring Material Scatter for Metal Forming Processes based on Inverse Robust Optimization",

abstract = "Robust optimization is a powerful method to find the parameters for a process at which its output is least sensitive to the variation of the input parameters. In this method, measured or estimated noise parameters are used to estimate the scatter of the output. At the optimum design, the variation in noise parameters leads to a minimum scatter of the output. If this minimum scatter of the output does not meet the specified tolerance, then the input noise must be adjusted accordingly. This means for example that materials with a tighter specification must be ordered, which usually incurs additional costs. In this article, an inverse method is presented to tailor the variation of noise parameters based on the allowable tolerance in the output. This method is successfully applied to a non-linear process, lab-type B-pillar part. The results show how to adjust the input noise parameters at a minimum cost to meet the required output tolerance.",

author = "Omid Nejadseyfi and Bert Geijselaers and {van den Boogaard}, {Antonius H.}",

year = "2019",

month = jul,

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publisher = "American Institute of Physics",

editor = "Pedro Arrazola and {Saenz de Argandona}, Eneko and Nagore Otegi and Joseba Mendiguren and {Saez de Buruaga}, Mikel and Aitor Madariaga and Lander Galdos",

booktitle = "Proceedings of the 22nd International ESAFORM Conference on Material Forming, ESAFORM 2019",

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note = "22nd International Conference on Material Forming 2019, ESAFORM 2019 ; Conference date: 08-05-2019 Through 10-05-2019",

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Nejadseyfi, O, Geijselaers, B & van den Boogaard, AH 2019, Tailoring Material Scatter for Metal Forming Processes based on Inverse Robust Optimization. in P Arrazola, E Saenz de Argandona, N Otegi, J Mendiguren, M Saez de Buruaga, A Madariaga & L Galdos (eds), Proceedings of the 22nd International ESAFORM Conference on Material Forming, ESAFORM 2019. vol. 2113, 120005, AIP Conference Proceedings, vol. 2113, American Institute of Physics, 22nd International Conference on Material Forming 2019, Votoria-Gasteiz, Spain, 8/05/19. https://doi.org/10.1063/1.5112660

Tailoring Material Scatter for Metal Forming Processes based on Inverse Robust Optimization. / Nejadseyfi, Omid ; Geijselaers, Bert ; van den Boogaard, Antonius H.

Proceedings of the 22nd International ESAFORM Conference on Material Forming, ESAFORM 2019. ed. / Pedro Arrazola; Eneko Saenz de Argandona; Nagore Otegi; Joseba Mendiguren; Mikel Saez de Buruaga; Aitor Madariaga; Lander Galdos. Vol. 2113 American Institute of Physics, 2019. 120005 (AIP Conference Proceedings; Vol. 2113).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Nejadseyfi, Omid

AU - Geijselaers, Bert

AU - van den Boogaard, Antonius H.

N1 - Conference code: 22

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N2 - Robust optimization is a powerful method to find the parameters for a process at which its output is least sensitive to the variation of the input parameters. In this method, measured or estimated noise parameters are used to estimate the scatter of the output. At the optimum design, the variation in noise parameters leads to a minimum scatter of the output. If this minimum scatter of the output does not meet the specified tolerance, then the input noise must be adjusted accordingly. This means for example that materials with a tighter specification must be ordered, which usually incurs additional costs. In this article, an inverse method is presented to tailor the variation of noise parameters based on the allowable tolerance in the output. This method is successfully applied to a non-linear process, lab-type B-pillar part. The results show how to adjust the input noise parameters at a minimum cost to meet the required output tolerance.

AB - Robust optimization is a powerful method to find the parameters for a process at which its output is least sensitive to the variation of the input parameters. In this method, measured or estimated noise parameters are used to estimate the scatter of the output. At the optimum design, the variation in noise parameters leads to a minimum scatter of the output. If this minimum scatter of the output does not meet the specified tolerance, then the input noise must be adjusted accordingly. This means for example that materials with a tighter specification must be ordered, which usually incurs additional costs. In this article, an inverse method is presented to tailor the variation of noise parameters based on the allowable tolerance in the output. This method is successfully applied to a non-linear process, lab-type B-pillar part. The results show how to adjust the input noise parameters at a minimum cost to meet the required output tolerance.

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T3 - AIP Conference Proceedings

BT - Proceedings of the 22nd International ESAFORM Conference on Material Forming, ESAFORM 2019

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A2 - Saenz de Argandona, Eneko

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A2 - Mendiguren, Joseba

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A2 - Galdos, Lander

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Y2 - 8 May 2019 through 10 May 2019

ER -

Nejadseyfi O, Geijselaers B , van den Boogaard AH. Tailoring Material Scatter for Metal Forming Processes based on Inverse Robust Optimization. In Arrazola P, Saenz de Argandona E, Otegi N, Mendiguren J, Saez de Buruaga M, Madariaga A, Galdos L, editors, Proceedings of the 22nd International ESAFORM Conference on Material Forming, ESAFORM 2019. Vol. 2113. American Institute of Physics. 2019. 120005. (AIP Conference Proceedings). doi: 10.1063/1.5112660

Tailoring Material Scatter for Metal Forming Processes based on Inverse Robust Optimization

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