Investigation of surface skeletonization methods for reconstruction of topology optimized structures

Mayer J, Wartzack S (2020)


Publication Type: Conference contribution

Publication year: 2020

Publisher: The Design Society

Pages Range: 111-120

Conference Proceedings Title: Proceedings of the 31st Symposium Design for X, DFX 2020

DOI: 10.35199/dfx2020.12

Abstract

By showing where to place material in a specified design space, the continuous topology optimization is very useful in product development of structural loaded components. However the optimizations design proposal is far from being a parametric CAD-model. Instead it usually consists of a tesselated surface, that has to be re-engineered. As this is often done manually, it takes a lot of time and expert knowledge. Curve skeleton algorithms have proven their ability to support the restructuring of truss-like design proposals by providing references for construction elements. To investigate a similar design concept for general optimization results, showing truss-like structures as well as surface-like sections, the suitability of surface skeletons for topology reconstruction is examined.

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APA:

Mayer, J., & Wartzack, S. (2020). Investigation of surface skeletonization methods for reconstruction of topology optimized structures. In Dieter Krause, Kristin Paetzold, Sandro Wartzack (Eds.), Proceedings of the 31st Symposium Design for X, DFX 2020 (pp. 111-120). The Design Society.

MLA:

Mayer, Johannes, and Sandro Wartzack. "Investigation of surface skeletonization methods for reconstruction of topology optimized structures." Proceedings of the 31st Symposium Design for X, DFX 2020 Ed. Dieter Krause, Kristin Paetzold, Sandro Wartzack, The Design Society, 2020. 111-120.

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