A Novel Mathematical Formulation for Density-Based Topology Optimization Method Considering Multi-Axis Machining Constraint

被引:3
|
作者
Deng, Hao [1 ]
To, Albert C. [1 ]
机构
[1] 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
topology optimization; density-based method; multi-axis machine; length to diameter (L:D) ratio; cam design; computer-aided design; conceptual design; design optimization; sensitivity analysis for design; structural optimization; GEOMETRY PROJECTION METHOD; REPRESENTATION; DESIGN; SHAPE; FILTERS;
D O I
10.1115/1.4053333
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
This paper proposes a novel density-based method for structural design considering restrictions of multi-axis machining processes. A new mathematical formulation based on Heaviside function is presented to transform the design field into a geometry which can be manufactured by multi-axis machining process. The formulation is developed for 5-axis machining, which can be also applied to 2.5D milling restriction. The filter techniques are incorporated to effectively control the minimum size of void region. The proposed method is demonstrated by solving the compliance minimization problem for different machinable freeform designs. The length to diameter (L:D) ratio geometric constraint is introduced to ensure the machinable design, where deep hole or narrow chamber features are avoided using proposed method. Several two- and three-dimensional numerical examples are presented and discussed in detail.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] Topology optimization with accessibility constraint for multi-axis machining
    Mirzendehdel, Amir M.
    Behandish, Morad
    Nelaturi, Saigopal
    [J]. COMPUTER-AIDED DESIGN, 2020, 122
  • [2] Topology optimization for multi-axis machining
    Langelaar, Matthijs
    [J]. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2019, 351 : 226 - 252
  • [3] Topology optimization considering multi-axis machining constraints using projection methods
    Lee, Hak Yong
    Zhu, Mu
    Guest, James K.
    [J]. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2022, 390
  • [4] Deep learning-based topology optimization for multi-axis machining
    Guo, Yifan
    Liu, Jikai
    Ma, Yongsheng
    Ahmad, Rafiq
    [J]. Applied Mathematical Modelling, 2025, 138
  • [5] A multi-axis NC Milling machining method based on line enveloping formulation
    Huang, DG
    Xie, W
    Wu, HM
    Wang, YF
    [J]. PROCEEDINGS OF THE 2ND CHINA-JAPAN SYMPOSIUM ON MECHATRONICS, 1997, : 166 - 171
  • [6] CAD-integrated topology optimization method with dynamic extrusion feature evolution for multi-axis machining
    Deng, Hao
    Vulimiri, Praveen S.
    To, Albert C.
    [J]. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2022, 390
  • [7] On generating stiffening layouts with density-based topology optimization considering buckling
    Gamache J.-F.
    Vadean A.
    Dodane N.
    Achiche S.
    [J]. CEAS Aeronautical Journal, 2021, 12 (04) : 863 - 877
  • [8] Topology modification method of generating gear grinding based on multi-axis linkage parameter optimization
    Han, Jiang
    Jiang, Hong
    Tian, Xiaoqing
    Li, Guanghui
    You, Tongfei
    Xia, Lian
    [J]. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2023, 124 (1-2): : 449 - 466
  • [9] Topology modification method of generating gear grinding based on multi-axis linkage parameter optimization
    Jiang Han
    Hong Jiang
    Xiaoqing Tian
    Guanghui Li
    Tongfei You
    Lian Xia
    [J]. The International Journal of Advanced Manufacturing Technology, 2023, 124 : 449 - 466
  • [10] Optimization Method of Process Parameters for Multi-axis NC Machining of Complex Surfaces
    Tian, Mei
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ELECTRONICS, MECHANICS, CULTURE AND MEDICINE, 2016, 45 : 243 - 246