Topology optimization considering the distortion in additive manufacturing

被引:23
|
作者
Miki, Takao [1 ]
Yamada, Takayuki [2 ]
机构
[1] Osaka Res Inst Ind Sci & Technol, 7-1,Ayumino 2, Izumi, Osaka 5941157, Japan
[2] Univ Tokyo, Dept Strateg Studies, Inst Engn Innovat, Bunkyo Ku, 11-16,Yayoi 2, Tokyo 1138656, Japan
关键词
Topology optimization; Level set method; Metal additive manufacturing; Inherent strain method; INHERENT STRAIN METHOD; RESIDUAL-STRESSES; STRUCTURAL OPTIMIZATION; EXPERIMENTAL VALIDATION; THERMOMECHANICAL MODEL; PART DISTORTION; LASER; PREDICTION; DEFORMATION;
D O I
10.1016/j.finel.2021.103558
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Additive manufacturing is a free-form manufacturing technique in which parts are built in a layer-by-layer manner. Laser powder bed fusion is one of the popular techniques used to fabricate metal parts. However, it induces residual stress and distortion during fabrication that adversely affects the mechanical properties and dimensional accuracy of the manufactured parts. Therefore, predicting and avoiding the residual stress and distortion are critical issues. In this study, we propose a topology optimization method that accounts for the distortion. First, we propose a computationally inexpensive analytical model for additive manufacturing that uses laser powder bed fusion and formulated an optimization problem. Next, we approximate the topological derivative of the objective function using an adjoint variable method that is then utilized to update the level set function via a time evolutionary reaction-diffusion equation. Finally, the validity and effectiveness of the proposed optimization method was established using two-dimensional design examples.
引用
收藏
页数:12
相关论文
共 50 条
  • [11] Topology Optimization and Additive Manufacturing of Customized Sports Item Considering Orthotropic Anisotropy
    Jung-Hwan Park
    Bona Goo
    Keun Park
    [J]. International Journal of Precision Engineering and Manufacturing, 2019, 20 : 1443 - 1450
  • [12] Topology Optimization and Additive Manufacturing of Customized Sports Item Considering Orthotropic Anisotropy
    Park, Jung-Hwan
    Goo, Bona
    Park, Keun
    [J]. INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING, 2019, 20 (08) : 1443 - 1450
  • [13] Multi-material topology optimization for additive manufacturing considering dimensional constraints
    Feng, Yukun
    Noda, Masaki
    Noguchi, Yuki
    Matsushima, Kei
    Yamada, Takayuki
    [J]. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2023, 410
  • [14] Bridging topology optimization and additive manufacturing
    Tomás Zegard
    Glaucio H. Paulino
    [J]. Structural and Multidisciplinary Optimization, 2016, 53 : 175 - 192
  • [15] Bridging topology optimization and additive manufacturing
    Zegard, Tomas
    Paulino, Glaucio H.
    [J]. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2016, 53 (01) : 175 - 192
  • [16] Manufacturing cost constrained topology optimization for additive manufacturing
    Liu, Jikai
    Chen, Qian
    Liang, Xuan
    To, Albert C.
    [J]. FRONTIERS OF MECHANICAL ENGINEERING, 2019, 14 (02) : 213 - 221
  • [17] Manufacturing cost constrained topology optimization for additive manufacturing
    Jikai Liu
    Qian Chen
    Xuan Liang
    Albert C. To
    [J]. Frontiers of Mechanical Engineering, 2019, 14 : 213 - 221
  • [18] Additive manufacturing-oriented concurrent robust topology optimization considering size control
    Li, Zeshang
    Wang, Lei
    Lv, Tangqi
    [J]. INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES, 2023, 250
  • [19] TOPOLOGY OPTIMIZATION FOR ADDITIVE MANUFACTURING CONSIDERING LAYER-BASED MINIMUM FEATURE SIZES
    Osanov, Mikhail
    Guest, James K.
    [J]. PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2017, VOL 2A, 2017,
  • [20] Three-dimensional high resolution topology optimization considering additive manufacturing constraints
    Zhang, Kaiqing
    Cheng, Gengdong
    [J]. ADDITIVE MANUFACTURING, 2020, 35