CMTO: Configurable-design-element multiscale topology optimization

被引:10
|
作者
Xiao, Mi [1 ]
Sha, Wei [1 ]
Zhang, Yan [2 ]
Liu, Xiliang [1 ]
Li, Peigen [1 ]
Gao, Liang [1 ]
机构
[1] Huazhong Univ Sci & Technol, State Key Lab Digital Mfg Equipment & Technol, Wuhan 430074, Peoples R China
[2] Wuhan Univ Sci & Technol, Key Lab Met Equipment & Control Technol, Minist Educ, Wuhan 430081, Peoples R China
关键词
Configurable-design-element multiscale; topology optimization (CMTO); Complex shape; Rational distribution; Efficient prediction; Well connection; Robust printing; Thermal carpet cloak; LEVEL SET METHOD; CONCURRENT DESIGN; CELLULAR MATERIALS; MICROSTRUCTURES; STIFFNESS; CELLS;
D O I
10.1016/j.addma.2023.103545
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper introduces a configurable-design-element multiscale topology optimization (CMTO) framework, which is comprised of several design elements, including complex shape, rational distribution, efficient prediction, well connection, robust printing and other design elements. Five momentous elements in CMTO are elaborated, which refer to geometric description of macrostructures and microstructures, property distribution of microstructures within a macrostructure and material distribution within a microstructure, property prediction of microstructures, connectivity between adjacent microstructures, and manufacturability of multiscale structures by 3D-printing, respectively. The design of 2D and 3D thermal carpet cloak is provided to show the implementation of CMTO. Simulated and experimental results indicate its powerful capability of designing multiscale structures. CMTO is flexible and easy-to-implement, which will greatly enrich the methods in the field of structural optimization and hopefully open a door to the design of novel structures with extraordinary properties, such as all kinds of metamaterials.
引用
收藏
页数:12
相关论文
共 50 条
  • [31] Metamaterials Design with Arbitrary Poisson's Ratio by Functional Element Topology Optimization
    Yang D.
    Qin H.
    Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University, 2019, 53 (07): : 819 - 829
  • [32] The topology optimization design for continuum structures based on the element free Galerkin method
    Zheng Juan
    Long Shuyao
    Li Guangyao
    ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS, 2010, 34 (07) : 666 - 672
  • [33] Design of dental implant using design of experiment and topology optimization: A finite element analysis study
    Gupta, Yash
    Iyer, Rohit
    Dommeti, Vamsi Krishna
    Nutu, Emil
    Rana, Masud
    Merdji, Ali
    Biswas, Jayanta Kumar
    Roy, Sandipan
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART H-JOURNAL OF ENGINEERING IN MEDICINE, 2021, 235 (02) : 157 - 166
  • [34] Quick pseudo-random topology optimization design based on triangle element
    He, Jian Jun
    Xu, Bin
    JOURNAL OF VIBROENGINEERING, 2017, 19 (04) : 2822 - 2843
  • [35] Design of cellular materials for multiscale topology optimization: application to patient-specific orthopedic devices
    Nicola Ferro
    Simona Perotto
    Daniele Bianchi
    Raffaele Ferrante
    Marco Mannisi
    Structural and Multidisciplinary Optimization, 2022, 65
  • [36] A clustering-based multiscale topology optimization framework for efficient design of porous composite structures
    Liu, Jinlong
    Zou, Zhiqiang
    Li, Zeyang
    Zhang, Min
    Yang, Jie
    Gao, Kang
    Wu, Zhangming
    COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2025, 439
  • [37] Multiscale topology optimization for the design of spatially-varying three-dimensional lattice structure
    Kim, Dongjin
    Lee, Jaewook
    COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2024, 429
  • [38] A phase field-based systematic multiscale topology optimization method for porous structures design
    Yu, Qian
    Xia, Qing
    Li, Yibao
    JOURNAL OF COMPUTATIONAL PHYSICS, 2022, 466
  • [39] Design of cellular materials for multiscale topology optimization: application to patient-specific orthopedic devices
    Ferro, Nicola
    Perotto, Simona
    Bianchi, Daniele
    Ferrante, Raffaele
    Mannisi, Marco
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2022, 65 (03)
  • [40] Nonlinear structural design using multiscale topology optimization. Part II: Transient formulation
    Nakshatrala, P. B.
    Tortorelli, D. A.
    COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2016, 304 : 605 - 618