Adaptive Robotic Fabrication for Conditions of Material Inconsistency: Increasing the Geometric Accuracy of Incrementally Formed Metal Panels

Paul Nicholas, Mateusz Zwierzycki, Esben Clausen Nørgaard , Scott Leinweber, David Stasiuk, Mette Ramsgaard Thomsen, Christopher Hutchinson

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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Abstract

This paper describes research that addresses the variable behaviour of industrial quality metals and the extension of computational techniques into the fabrication process. It describes the context of robotic incremental sheet metal forming, a freeform method for imparting 3D form onto a 2D thin metal sheet. The paper focuses on the issue of geometric inaccuracies associated with material springback that are experienced in the making of a research demonstrator. It asks how to fabricate in conditions of material inconsistency, and how might adaptive models negotiate between the design model and the fabrication process? Here, two adaptive methods are presented that aim to increase forming accuracy with only a minimum increase in fabrication time, and that maintain ongoing input from the results of the fabrication process. The first method is an online sensor-based strategy and the second method is an offline predictive strategy based on machine learning. Rigidisation of thin metal skins
Original languageEnglish
Title of host publicationFabricate 2017
EditorsAchim Menges, Bob Shiel, Ruari Glynn , Marilena Skavara
Number of pages8
PublisherUCL Press
Publication date2017
Pages114-121
ISBN (Print)978‑1‑78735‑000‑7
Publication statusPublished - 2017

Artistic research

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Cite this

Nicholas, P., Zwierzycki, M., Clausen Nørgaard , E., Leinweber, S., Stasiuk, D., Ramsgaard Thomsen, M., & Hutchinson, C. (2017). Adaptive Robotic Fabrication for Conditions of Material Inconsistency: Increasing the Geometric Accuracy of Incrementally Formed Metal Panels. In A. Menges, B. Shiel, R. G., & M. Skavara (Eds.), Fabricate 2017 (pp. 114-121). UCL Press.
Nicholas, Paul ; Zwierzycki, Mateusz ; Clausen Nørgaard , Esben ; Leinweber, Scott ; Stasiuk, David ; Ramsgaard Thomsen, Mette ; Hutchinson, Christopher. / Adaptive Robotic Fabrication for Conditions of Material Inconsistency : Increasing the Geometric Accuracy of Incrementally Formed Metal Panels. Fabricate 2017. editor / Achim Menges ; Bob Shiel ; Ruari Glynn ; Marilena Skavara. UCL Press, 2017. pp. 114-121
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abstract = "This paper describes research that addresses the variable behaviour of industrial quality metals and the extension of computational techniques into the fabrication process. It describes the context of robotic incremental sheet metal forming, a freeform method for imparting 3D form onto a 2D thin metal sheet. The paper focuses on the issue of geometric inaccuracies associated with material springback that are experienced in the making of a research demonstrator. It asks how to fabricate in conditions of material inconsistency, and how might adaptive models negotiate between the design model and the fabrication process? Here, two adaptive methods are presented that aim to increase forming accuracy with only a minimum increase in fabrication time, and that maintain ongoing input from the results of the fabrication process. The first method is an online sensor-based strategy and the second method is an offline predictive strategy based on machine learning. Rigidisation of thin metal skins",
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Nicholas, P, Zwierzycki, M, Clausen Nørgaard , E, Leinweber, S, Stasiuk, D, Ramsgaard Thomsen, M & Hutchinson, C 2017, Adaptive Robotic Fabrication for Conditions of Material Inconsistency: Increasing the Geometric Accuracy of Incrementally Formed Metal Panels. in A Menges, B Shiel, RG & M Skavara (eds), Fabricate 2017. UCL Press, pp. 114-121.

Adaptive Robotic Fabrication for Conditions of Material Inconsistency : Increasing the Geometric Accuracy of Incrementally Formed Metal Panels. / Nicholas, Paul; Zwierzycki, Mateusz; Clausen Nørgaard , Esben ; Leinweber, Scott; Stasiuk, David; Ramsgaard Thomsen, Mette; Hutchinson, Christopher.

Fabricate 2017. ed. / Achim Menges; Bob Shiel; Ruari Glynn; Marilena Skavara. UCL Press, 2017. p. 114-121.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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Nicholas P, Zwierzycki M, Clausen Nørgaard E, Leinweber S, Stasiuk D, Ramsgaard Thomsen M et al. Adaptive Robotic Fabrication for Conditions of Material Inconsistency: Increasing the Geometric Accuracy of Incrementally Formed Metal Panels. In Menges A, Shiel B, RG, Skavara M, editors, Fabricate 2017. UCL Press. 2017. p. 114-121