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research-article

Multi-Component Topology Optimization for Powder Bed Additive Manufacturing (MTO-A)

[+] Author and Article Information
Yuqing Zhou

University of Michigan, Ann Arbor, Michigan 48109
yuqingz@umich.edu

Tsuyoshi Nomura

Toyota Research Institute of North America, Ann Arbor, Michigan, 48105, Toyota Central R & D Labs., Inc., Yokomichi, Nagakute 480-1192, Japan
tsuyoshi.nomura@toyota.com

Kazuhiro Saitou

University of Michigan, Ann Arbor, Michigan 48109
kazu@umich.edu

1Corresponding author.

ASME doi:10.1115/1.4042640 History: Received July 31, 2018; Revised January 21, 2019

Abstract

Topology optimization for additive manufacturing has been limited to the design of single-piece components that fit within the printer's build volume. This paper presents a gradient-based multi-component topology optimization method for structures assembled from components built by powder bed additive manufacturing, which enables the design of multi-piece assemblies larger than the printer's build volume. Constraints on component geometry for powder bed additive manufacturing are incorporated in a density-based topology optimization framework, with an additional design field governing the component partitioning. For each component, constraints on the maximum allowable build volume (i.e., length, width, and height), the elimination of enclosed cavities, and the minimum printable feature size are imposed during the simultaneous optimization of the overall topology and component partitioning. Numerical results of the minimum compliance designs revealed that manufacturing constraints, previously applied to single-piece topology optimization, can unlock richer design space when applied to multi-component designs.

Copyright (c) 2019 by ASME
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