Reconstruction of Topology Optimized Geometry with Casting Constraints in a Feature-Based Approach

DS 122: Proceedings of the Design Society: 24th International Conference on Engineering Design (ICED23)

Year: 2023
Editor: Kevin Otto, Boris Eisenbart, Claudia Eckert, Benoit Eynard, Dieter Krause, Josef Oehmen, Nadège Troussier
Author: Mayer, Johannes; Denk, Martin; Wartzack, Sandro
Series: ICED
Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg, Engineering Design
Section: Design Methods
Page(s): 3015-3024
DOI number: https://doi.org/10.1017/pds.2023.302
ISBN: -
ISSN: -

Abstract

Topology Optimization (TO) is an established method for the development of high strength and lightweight structural components. However, its results have to be geometrically revised to obtain a computational model that meets product development requirements. Design has to be in accordance with manufacturing constraints. Geometry reconstruction therefore still is a typically manual and tedious task, but increasingly supported by computational and automated approaches. In this paper, the inclusion of a casting constraint in an automated Medial Axis based reconstruction method is presented. Since the Medial Axis provides cross-section values by the computation of maximally inscribed spheres, this information is used for geometry reconstruction and even further for the purposeful adaption of the cross-section to match Heuver's circle method. Thereby, the directed solidification of molten material is considered. With a predefined feeder position, the demonstrator of a suspension control arm is used to show the application of the method. Resulting CAD-models are also structurally evaluated for their stiffness characteristics.

Keywords: Topology Optimization, Medial Axis Transform, Computational design methods, Computer Aided Design (CAD), Lightweight design

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