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Topology optimisation of multiple robot links considering screw connections

Published online by Cambridge University Press:  16 May 2024

Tobias Wanninger ,
Jintin Frank  and
Markus Zimmermann
Tobias Wanninger*
Affiliation:
Technical University of Munich, TUM School of Engineering and Design, Department of Mechanical Engineering, Laboratory for Product Development and Lightweight Design, Germany
Jintin Frank
Affiliation:
Technical University of Munich, TUM School of Engineering and Design, Department of Mechanical Engineering, Laboratory for Product Development and Lightweight Design, Germany
Markus Zimmermann
Affiliation:
Technical University of Munich, TUM School of Engineering and Design, Department of Mechanical Engineering, Laboratory for Product Development and Lightweight Design, Germany
*
tobias.wanninger@tum.de

Abstract

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This paper presents a method for the lightweight design of robotic links subject to dynamic loads and requirements on the overall system stiffness. It includes (1) a decomposition scheme to enable separate component optimization and (2) an approach based on topology optimization for optimal load path design of screw connections. The approach reduces computing cost and mass of designs with screw connections.

Keywords

topological optimisationsystems engineering (SE)lightweight designscrew connection designsystem decomposition
Type
Design for Additive Manufacturing
Information
Proceedings of the Design Society , Volume 4: DESIGN 2024 , May 2024 , pp. 1879 - 1888
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2024.

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