Computer Aided Internal Optimization (CAIO) method for fiber trajectory optimization: enhancing applicability

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Details zur Publikation

Autor(en): Völkl H, Franz M, Wartzack S
Jahr der Veröffentlichung: 2018
Sprache: Englisch


Abstract

The bio-inspired Computer Aided Internal Optimization (CAIO) method optimizes fiber orientation of composite structures by minimizing shear stresses. Fiber directions are iteratively aligned with maximum principal normal stress trajectories (MPNST). Its effectiveness was exemplarily shown by Reuschel and Mattheck (1999) using a tension-loaded plate with two holes, doubling the strength of a specimen compared to an unidirectional design. Klein (2017) uses this method in a holistic approach to composite design – and points out, to find its way into practice more, the iterative method still leaves room for further research. This is especially the case in areas of non-unique MPNST. The extended abstract scrutinizes the behavior of the method in these areas and evaluates possible solutions


FAU-Autoren / FAU-Herausgeber

Franz, Michael
Lehrstuhl für Konstruktionstechnik
Völkl, Harald
Lehrstuhl für Konstruktionstechnik
Wartzack, Sandro Prof. Dr.-Ing.
Lehrstuhl für Konstruktionstechnik


Zitierweisen

APA:
Völkl, H., Franz, M., & Wartzack, S. (2018). Computer Aided Internal Optimization (CAIO) method for fiber trajectory optimization: enhancing applicability. Zürich, CH.

MLA:
Völkl, Harald, Michael Franz, and Sandro Wartzack. "Computer Aided Internal Optimization (CAIO) method for fiber trajectory optimization: enhancing applicability." Proceedings of the 1st Symposium for Lightweight Design and Product Development, Zürich 2018.

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Zuletzt aktualisiert 2018-11-08 um 02:57