Print Email Facebook Twitter Topology optimization for multi-axis machining Title Topology optimization for multi-axis machining Author Langelaar, Matthijs (TU Delft Computational Design and Mechanics) Date 2019 Abstract This paper presents a topology optimization approach that incorporates restrictions of multi-axis machining processes. A filter is defined in a density-based topology optimization setting, that transforms an input design field into a geometry that can be manufactured through machining. The formulation is developed for 5-axis processes, but also covers other multi-axis milling configurations, e.g. 2.5D milling and 4-axis machining by including the appropriate machining directions. In addition to various tool orientations, also user-specified tool length and tool shape constraints can be incorporated in the filter. The approach is demonstrated on mechanical and thermal 2D and 3D numerical example problems. The proposed machining filter allows designers to systematically explore a considerably larger range of machinable freeform designs through topology optimization than previously possible. Subject 2.5D milling5-axis machiningDesign for ManufacturingMulti-axis millingSubtractive manufacturingTopology optimization To reference this document use: http://resolver.tudelft.nl/uuid:83241b69-5818-4b4a-a690-2bedfc8d9b40 DOI https://doi.org/10.1016/j.cma.2019.03.037 Embargo date 2019-09-27 ISSN 0045-7825 Source Computer Methods in Applied Mechanics and Engineering, 351, 226-252 Bibliographical note Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type journal article Rights © 2019 Matthijs Langelaar Files PDF 1_s2.0_S0045782519301677_main.pdf 7.53 MB Close viewer /islandora/object/uuid:83241b69-5818-4b4a-a690-2bedfc8d9b40/datastream/OBJ/view