Space–time topology optimization for anisotropic materials in wire and arc additive manufacturing

Wire and Arc Additive Manufacturing (WAAM) has great potential for efficiently producing large metallic components. However, like other additive manufacturing techniques, materials processed by WAAM exhibit anisotropic properties. Assuming isotropic material properties in design optimization thus leads to less efficient material utilization. Instead of viewing WAAM-induced material anisotropy as a limitation, we consider it an opportunity to improve structural performance. This requires the integration of process planning into structural design. In this paper, we propose a novel method to utilize material anisotropy to enhance the performance of structures both during fabrication and in their use. Our approach is based on space–time topology optimization, which simultaneously optimizes the structural layout and the fabrication sequence. To model material anisotropy in space–time topology optimization, we derive the material deposition direction from the gradient of the pseudo-time field, which encodes the fabrication sequence. Numerical results demonstrate that leveraging material anisotropy effectively improves the performance of intermediate structures during fabrication as well as the overall structure. • Anisotropy in additive manufacturing is leveraged to enhance structural performance. • Space–time topology optimization integrates structural design and fabrication planning. • Space–time topology optimization enhances mechanical performance via anisotropy. • Anisotropy is derived from fabrication sequences encoded in a pseudo-time field.

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Publication Details

Journal
International Journal of Mechanical Sciences
Published
2024-09-19
DOI
https://doi.org/10.1016/j.ijmecsci.2024.109712
Citations
8
Primary Topic
Topology Optimization in Engineering
Type
article
Field-Weighted Citation Impact
2.09

Funders

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article

Space–time topology optimization for anisotropic materials in wire and arc additive manufacturing

Jun Wu, Fred van Keulen, Weiming Wang, Kai Wu
8 citations
International Journal of Mechanical Sciences
Topology Optimization in Engineering
2.09
article

Space–time topology optimization for anisotropic materials in wire and arc additive manufacturing

Jun Wu, Fred van Keulen, Weiming Wang, Kai Wu
article en
8 citations

Abstract

Wire and Arc Additive Manufacturing (WAAM) has great potential for efficiently producing large metallic components. However, like other additive manufacturing techniques, materials processed by WAAM exhibit anisotropic properties. Assuming isotropic material properties in design optimization thus leads to less efficient material utilization. Instead of viewing WAAM-induced material anisotropy as a limitation, we consider it an opportunity to improve structural performance. This requires the integration of process planning into structural design. In this paper, we propose a novel method to utilize material anisotropy to enhance the performance of structures both during fabrication and in their use. Our approach is based on space–time topology optimization, which simultaneously optimizes the structural layout and the fabrication sequence. To model material anisotropy in space–time topology optimization, we derive the material deposition direction from the gradient of the pseudo-time field, which encodes the fabrication sequence. Numerical results demonstrate that leveraging material anisotropy effectively improves the performance of intermediate structures during fabrication as well as the overall structure. • Anisotropy in additive manufacturing is leveraged to enhance structural performance. • Space–time topology optimization integrates structural design and fabrication planning. • Space–time topology optimization enhances mechanical performance via anisotropy. • Anisotropy is derived from fabrication sequences encoded in a pseudo-time field.

International Journal of Mechanical SciencesVol. 284
University of Manchester (GB), Delft University of Technology (NL)
National Natural Science Foundation of China, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, China Scholarship Council
Industry, innovation and infrastructure
Openalex Percentile: Top 14%
Topology Optimization in Engineering
2.09
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