• DocumentCode
    2037928
  • Title

    A review of structural optimization methods of machine tools

  • Author

    Guifei Wang ; Ming Cong ; Yongyao Li

  • Author_Institution
    Sch. of Mech. Eng., Dalian Univ. of Technol., Dalian, China
  • fYear
    2015
  • fDate
    2-5 Aug. 2015
  • Firstpage
    87
  • Lastpage
    91
  • Abstract
    It is of great importance for the structural design of machine tools to find best possible structures for given objectives and constraints at a very early stage of the design process. Therefore, over the past several decades, substantial efforts of fundamental research have been devoted to the structural optimization strategies for improving and optimizing static and dynamic characteristics and reducing time and cost of manufacturing of machine tools. It is the objective of this review paper to present an overview of the advances in this area. Three types of optimization methods, namely sizing, shape, and topology optimization, are discussed and several examples are given to illustrate theories and process of these techniques. Sizing and shape optimization rely on an already existing initial design proposal for the parts. However, topology optimization tries to compute an optimum design of a structure in an available design space. Future trends of these optimization methods are discussed at the end of this paper.
  • Keywords
    cost reduction; design engineering; machine tools; optimisation; topology; cost reduction; design process; dynamic characteristics optimization; machine tools; manufacturing time reduction; shape optimization; sizing; static characteristics optimization; structural design; structural optimization method; topology optimization; Computers; Conferences; Indexes; Machining; Mechanical engineering; Optimization; Topology; machining tools; sizing optimization; structural design; topology optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2015 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-7097-1
  • Type

    conf

  • DOI
    10.1109/ICMA.2015.7237462
  • Filename
    7237462