3D topology optimization for cost and time minimization in additive manufacturing

被引:35
|
作者
Sabiston, Graeme [1 ]
Kim, Il Yong [2 ]
机构
[1] Queens Univ, Dept Mech & Mat Engn, Room 213,Jackson Hall,5 Field Co Ln, Kingston, ON K7L 2N8, Canada
[2] Queens Univ, Dept Mech & Mat Engn, Room 305,McLaughlin Hall, Kingston, ON K7L 3N6, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Topology optimization; Additive manufacturing; Support material; Surface area; Helmholtz PDE; Manufacturing constraint; SELF-SUPPORTING STRUCTURES; DESIGN; CONSTRAINT; ALLOYS;
D O I
10.1007/s00158-019-02392-7
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
As the frontier of modern-day engineering challenges pushes forward, the integration of multiple strategies to reduce manufacturing cost and increase component performance has engineers turning to tools such as topology optimization (TO) and additive manufacturing (AM). Recent focus on these topics has led to the bridging of the gap between these two tools and the making of their integration in the conventional design cycle as seamless as possible. This paper expands upon existing mathematical constructs by providing an algorithm to minimize the cost and time associated with additively manufactured parts within a three-dimensional topology optimization framework. The formulation has been constructed in such a manner to accommodate large-scale topology optimization problems, including a filtering scheme requiring minimal storage of additional mesh information and an iterative finite element analysis solver. A rigorous trade-off analysis is conducted to determine the optimal contribution of additive manufacturing factors to minimize build time. A perimeter method-inspired approach for optimization of the surface area is explored, suggesting benefits for AM-specific process mechanics. Multiple academic example problems included in this work illustrate the applicability of this approach to three-dimensional geometries; physical models of these example problems created via fused filament fabrication serve to validate the numerical results obtained herein.
引用
收藏
页码:731 / 748
页数:18
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