Integration of manufacturing constraints into multi-material topology optimization

Kopatsch J, Polzer M, Bartz M, Wartzack S (2024)

Publication Type: Conference contribution

Publication year: 2024

Pages Range: 231-240

Conference Proceedings Title: DS 133: Proceedings of the 35th Symposium Design for X (DFX2024)

Event location: Bamberg DE

DOI: 10.35199/dfx2024.24

Abstract

Multi-material topology optimization (MMTO) offers lightweight design potential compared to single-material topology optimization (SMTO). For integrating restrictions of manufacturing processes into a MMTO ordered SIMP model, a mapping scheme is used to assign them only to the relevant material sections. By filtering and projection of the design variables, manufacturing constraints are implemented without considerable increase in optimization effort. Optimization results are compared by objective function values, convergence and effects of manufacturing constraints. The improved manufacturability of the optimization results can be achieved with only slight reduction in the objective function value, which is due to the restriction of the design space introduced by manufacturing constraints.

Authors with CRIS profile

Jan Kopatsch Chair of Engineering Design (KTmfk) Markus Polzer Chair of Engineering Design (KTmfk) Marcel Bartz Chair of Engineering Design (KTmfk) Sandro Wartzack Chair of Engineering Design (KTmfk)

How to cite

APA:

Kopatsch, J., Polzer, M., Bartz, M., & Wartzack, S. (2024). Integration of manufacturing constraints into multi-material topology optimization. In DS 133: Proceedings of the 35th Symposium Design for X (DFX2024) (pp. 231-240). Bamberg, DE.

MLA:

Kopatsch, Jan, et al. "Integration of manufacturing constraints into multi-material topology optimization." Proceedings of the 35th Symposium Design for X (DFX2024), Bamberg 2024. 231-240.

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