Deposition path planning-integrated structural topology optimization for 3D additive manufacturing subject to self-support constraint

被引：100

作者：

Liu, Jikai ^{[1
,2
]}

To, Albert C. ^{[2
]}

机构：

[1] Univ Alberta, Dept Mech Engn, Edmonton, AB, Canada

[2] Univ Pittsburgh, Dept Mech Engn & Mat Sci, Pittsburgh, PA 15261 USA

来源：

COMPUTER-AIDED DESIGN | 2017年 / 91卷

基金：

美国国家科学基金会;

关键词：

Deposition path planning; Topology optimization; Additive manufacturing; Manufacturability constraint; LEVEL SET METHOD; SHAPE OPTIMIZATION; LENGTH SCALE; DESIGN; METHODOLOGY; SPEED;

D O I：

10.1016/j.cad.2017.05.003

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

This paper presents a novel level set-based topology optimization implementation, which addresses two main problems of design-for-additive manufacturing (AM): the material anisotropy and the self-support manufacturability constraint. AM material anisotropy is widely recognized and taking it into account while performing structural topology optimization could more realistically evaluate the structural performance. Therefore, both build direction and in-plane raster directions are considered by the topology optimization algorithm, especially for the latter, which is calculated through deposition path planning. The self-support manufacturability constraint is addressed through a novel multi-level set modeling. The related optimization problem formulation and solution process are demonstrated in detail. It is proved by several numerical examples that the manufacturability constraints are always strictly satisfied. Marginally, the recently popular structural skeleton-based deposition paths are also employed to assist the structural topology optimization, and its characteristics are discussed. (C) 2017 Elsevier Ltd. All rights reserved.

引用

页码：27 / 45

页数：19

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