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

被引:88
|
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
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
收藏
页码:27 / 45
页数:19
相关论文
共 33 条
  • [1] Concurrent deposition path planning and structural topology optimization for additive manufacturing
    Liu, Jikai
    Yu, Huangchao
    [J]. RAPID PROTOTYPING JOURNAL, 2017, 23 (05) : 930 - 942
  • [2] Self-Support Topology Optimization With Horizontal Overhangs for Additive Manufacturing
    Liu, Jikai
    Yu, Huangchao
    [J]. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 2020, 142 (09):
  • [3] Self-support topology optimization considering distortion for metal additive manufacturing
    Miki, Takao
    [J]. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2023, 404
  • [4] Residual stress constrained self-support topology optimization for metal additive manufacturing
    Xu, Shuzhi
    Liu, Jikai
    Ma, Yongsheng
    [J]. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2022, 389
  • [5] Boundary Slope Control in Topology Optimization for Additive Manufacturing: For Self-Support and Surface Roughness
    Wang, Cunfu
    Qian, Xiaoping
    Gerstler, William D.
    Shubrooks, Jeff
    [J]. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 2019, 141 (09):
  • [6] Deposition path-dependent lightweight support design and its implication to self-support topology optimization
    Wang, Yifan
    Wu, Tao
    Liu, Jikai
    Yu, Huangchao
    [J]. JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING, 2022, 9 (06) : 2314 - 2331
  • [7] Topology optimization of 3D self-supporting structures for additive manufacturing
    Langelaar, Matthijs
    [J]. ADDITIVE MANUFACTURING, 2016, 12 : 60 - 70
  • [8] Structural topology optimization subject to overhang angle constraint with overhang length relaxation in additive manufacturing
    ZHANG KaiQing
    CHENG GengDong
    WANG Yu
    [J]. Science China(Technological Sciences), 2022, (06) : 1213 - 1231
  • [9] Structural topology optimization subject to overhang angle constraint with overhang length relaxation in additive manufacturing
    Zhang, KaiQing
    Cheng, GengDong
    Wang, Yu
    [J]. SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2022, 65 (06) : 1213 - 1231
  • [10] Structural topology optimization subject to overhang angle constraint with overhang length relaxation in additive manufacturing
    KaiQing Zhang
    GengDong Cheng
    Yu Wang
    [J]. Science China Technological Sciences, 2022, 65 : 1213 - 1231