Self-support topology optimization considering distortion for metal additive manufacturing

被引:10
|
作者
Miki, Takao [1 ]
机构
[1] Osaka Res Inst Ind Sci & Technol, 7-1 Ayumino 2, Izum, Osaka 5941157, Japan
关键词
Topology optimization; Level set method; Laser powder bed fusion (metal additive manufacturing); Design for additive manufacturing; Self-support structure; Inherent strain method; STRUCTURAL OPTIMIZATION; EXPERIMENTAL VALIDATION; THERMOMECHANICAL MODEL; RESIDUAL DEFORMATION; OVERHANG CONSTRAINT; PART DISTORTION; SENSITIVITY; PREDICTION; SHAPE; STRESSES;
D O I
10.1016/j.cma.2022.115821
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper proposes a self-support topology optimization method that considers distortion to improve the manufacturability of additive manufacturing. First, a self-support constraint is proposed that combines an overhang angle constraint with an adjustable degree of the downward convex shapes and a thermal constraint for heat dissipation in the building process. Next, we introduce a mechanical model based on the inherent strain method in the building process and propose a constraint that can suppress distortion. An optimization problem is formulated to satisfy all constraints, and an optimization algorithm based on level-set-based topology optimization is constructed. Finally, two-and three-dimensional optimization examples are presented to validate the effectiveness of the proposed topology optimization method.(c) 2022 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
引用
收藏
页数:23
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