Multi-material topology optimization for additive manufacturing considering maximum build volume and assembly process

被引:3
作者
Feng, Yukun [1 ]
Yamada, Takayuki [1 ,2 ]
机构
[1] Univ Tokyo, Grad Sch Engn, Dept Mech Engn, Yayoi 2-11-16,Bunkyo Ku, Tokyo 1138656, Japan
[2] Univ Tokyo, Inst Engn Innovat, Grad Sch Engn, Dept Strateg Studies, Yayoi 2-11-16,Bunkyo Ku, Tokyo 1138656, Japan
关键词
Additive manufacturing; Topology optimization; Multi-material structures; Maximum build volume; Assemblability; STRUCTURAL OPTIMIZATION; DESIGN; DECOMPOSITION; CONSTRAINTS;
D O I
10.1016/j.enganabound.2024.04.007
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
While topology optimization is promising for additive manufacturing structures, challenges arise in designing multi -material assemblies. The size often surpasses additive manufacturing build volumes, hindering successful manufacturing. Additionally, intricate topology -optimized structures complicate the assembly and decomposition of multiple material components. Addressing the aforementioned issues can be achieved by incorporating dimensional and assembly constraints into the optimization process. So far, these constraints have only been studied and implemented separately, leading to suboptimal solutions. Simply applying these two constraints together can also lead to excessive computational complexity. This paper introduces a multi -material topology optimization framework that considers both dimensional and assembly constraints. We propose an assembly direction -aligned method for dimensional constraints to reduce computational costs and an adaptive weighting factor for assembly constraints to enhance numerical stability. Validation through numerical examples and successful fabrication and assembly of a 3D -printed prototype underscore the framework's efficacy in ensuring the manufacturability and assemblability of structures designed via topology optimization.
引用
收藏
页码:616 / 640
页数:25
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