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Self-supporting structure design with feature-driven optimization approach for additive manufacturing
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DOI：10.1016/j.cma.2021.114110.png)
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摘要
En 中文
In this work, a topology optimization approach is developed for additive manufacturing (AM) of 2D and 3D self-supporting structures. Three important issues, i.e., overhang angle control, avoidance of the so-called V-shaped areas and minimum length scale control are addressed. 2D solid polygon and 3D polyhedron features are introduced as basic design primitives that are capable of translations, deformations and intersections to drive topological changes of the structure. The overhang angle control is realized in a straightforward way only by imposing upper bounds to related design variables without introducing any nonlinear constraint. The V-shaped area is avoided by simply limiting the positions of solid features Minimum length scale control is controlled by a robust formulation. Numerical examples in 2D and 3D demonstrate the effectiveness of the proposed approach for various build directions, critical overhang angles and minimum length scales considered in AM. (C) 2021 Elsevier B.V. All rights reserved.
Keyword:
Self-supporting structures
Solid polygon/polyhedron features
Overhang angle control
V-shaped area
Minimum length scale
Additive manufacturing
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期刊
IF:
7.3
论文数:
1.3W
被引数:
5.6W
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