Morphable components topology optimization for additive manufacturing

被引:0
|
作者
Yeming Xian
David W. Rosen
机构
[1] George W. Woodruff School of Mechanical Engineering,Georgia Institute of Technology
关键词
Design in additive manufacturing; Topology optimization; Moving morphable components; Manufacturing constraints; Overhang constraint;
D O I
暂无
中图分类号
学科分类号
摘要
This paper addresses the issue of minimizing support material in additive manufacturing (AM) during topology optimization (TO) in order to reduce material and post-processing costs. The TO method developed in this paper utilizes the moving morphable components (MMC) approach, where a structure is composed of several building blocks. This work introduces minimum build angle constraints to eliminate overhanging edges, supplementing these with penalty functions to ensure connectivity between building blocks, such that the TO output is printable. The MMC approach uses explicit geometric entities for the morphable components that are controlled by geometric parameters, such as length, thickness, and angle. These parameters are the design variables. Using this approach enables the formulation of geometric manufacturing constraints and the construction of CAD models, which are important advantages of the MMC method. Examples of a short cantilever beam and an MBB beam demonstrate the capabilities of the TO methods.
引用
收藏
页码:19 / 39
页数:20
相关论文
共 50 条
  • [1] Morphable components topology optimization for additive manufacturing
    Xian, Yeming
    Rosen, David W.
    [J]. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2020, 62 (01) : 19 - 39
  • [2] Topology optimization and additive manufacturing for aerospace components
    Laura Berrocal
    Rosario Fernández
    Sergio González
    Antonio Periñán
    Santos Tudela
    Jorge Vilanova
    Luis Rubio
    Jose Manuel Martín Márquez
    Javier Guerrero
    Fernando Lasagni
    [J]. Progress in Additive Manufacturing, 2019, 4 : 83 - 95
  • [3] Topology optimization and additive manufacturing for aerospace components
    Berrocal, Laura
    Fernandez, Rosario
    Gonzalez, Sergio
    Perinan, Antonio
    Tudela, Santos
    Vilanova, Jorge
    Rubio, Luis
    Martin Marquez, Jose Manuel
    Guerrero, Javier
    Lasagni, Fernando
    [J]. PROGRESS IN ADDITIVE MANUFACTURING, 2019, 4 (02) : 83 - 95
  • [4] Optimization of Components with Topology Optimization for Direct Additive Manufacturing by DLMS
    Sedlacek, Frantisek
    Kalina, Tomas
    Stepanek, Martin
    [J]. MATERIALS, 2023, 16 (15)
  • [5] LIGHTWEIGHT DESIGN WITH TOPOLOGY OPTIMIZATION FOR ADDITIVE MANUFACTURING OF AIRCRAFT COMPONENTS
    Kim, Tae-Uk
    [J]. PROCEEDINGS OF ASME 2023 INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, IMECE2023, VOL 4, 2023,
  • [6] TOPOLOGY OPTIMIZATION OF ADDITIVE MANUFACTURING COMPONENTS WITH LATTICE STRUCTURES FOR MULTIPHYSICS APPLICATIONS
    Jansen, Miche
    Pierard, Olivier
    Poletz, Nicolas
    [J]. INTERNATIONAL JOURNAL FOR MULTISCALE COMPUTATIONAL ENGINEERING, 2022, 20 (01) : 69 - 102
  • [7] Fatigue behaviour of metallic components obtained by topology optimization for additive manufacturing
    Fiorentin, F. K.
    Oliveira, B.
    Pereira, J. C. R.
    Correia, J. A. F. O.
    de Jesus, A. M. P.
    Berto, F.
    [J]. FRATTURA ED INTEGRITA STRUTTURALE-FRACTURE AND STRUCTURAL INTEGRITY, 2021, 15 (55): : 119 - 135
  • [8] Customization of Automotive Structural Components using Additive Manufacturing and Topology Optimization
    Jankovics, Davin
    Barari, Ahmad
    [J]. IFAC PAPERSONLINE, 2019, 52 (10): : 212 - 217
  • [9] Explicit isogeometric topology optimization using moving morphable components
    Hou, Wenbin
    Gai, Yundong
    Zhu, Xuefeng
    Wang, Xuan
    Zhao, Chao
    Xu, Longkun
    Jiang, Kai
    Hu, Ping
    [J]. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2017, 326 : 694 - 712
  • [10] Connected morphable components-based multiscale topology optimization
    Jiadong Deng
    Claus B. W. Pedersen
    Wei Chen
    [J]. Frontiers of Mechanical Engineering, 2019, 14 : 129 - 140