Fully Automated Reconstruction of Topology Optimization Results with Feature Transformation and Curve Skeletonization!

Denk M, Mayer J, Wartzack S (2022)


Publication Language: English

Publication Type: Book chapter / Article in edited volumes

Publication year: 2022

Publisher: VDI Verlag GmbH

Edited Volumes: 20. VDI-Kongress mit Fachausstellung SIMVEC, Aktuelle Herausforderungen bei der Auslegung und Absicherung von Fahrzeugsystemen

City/Town: Düsseldorf 2022

Book Volume: VDI-Berichte Nr. 2407, 2022

Pages Range: 501-511

ISBN: 978-3-18-092407-6

DOI: 10.51202/9783181024072-501

Abstract

The results of a topology optimization are oft en available as so-called dead geometry in the
form of cell models or polygon meshes. This fo rmat can be derived directly from finite
element meshes, but no feature-based CAD parametric is available. In this work, such
results are automatically transformed into a be am parametric via so-called curve skeletons.
However, the curves start within the geometry and often have to be manually extruded onto
the surface. In this work, this skeletonization is modified so that the individual curves usefully
begin at the surface. The improved approach is then tested on a variety of models.

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How to cite

APA:

Denk, M., Mayer, J., & Wartzack, S. (2022). Fully Automated Reconstruction of Topology Optimization Results with Feature Transformation and Curve Skeletonization! In VDI Wissensforum GmbH (Eds.), 20. VDI-Kongress mit Fachausstellung SIMVEC, Aktuelle Herausforderungen bei der Auslegung und Absicherung von Fahrzeugsystemen. (pp. 501-511). Düsseldorf 2022: VDI Verlag GmbH.

MLA:

Denk, Martin, Johannes Mayer, and Sandro Wartzack. "Fully Automated Reconstruction of Topology Optimization Results with Feature Transformation and Curve Skeletonization!" 20. VDI-Kongress mit Fachausstellung SIMVEC, Aktuelle Herausforderungen bei der Auslegung und Absicherung von Fahrzeugsystemen. Ed. VDI Wissensforum GmbH, Düsseldorf 2022: VDI Verlag GmbH, 2022. 501-511.

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