• DocumentCode
    412599
  • Title

    An evolutionary approach to microstructure optimisation of stereolithographic models

  • Author

    Mahdavi, Siavash Haroun ; Hanna, Sean

  • Author_Institution
    Dept. of Comput. Sci., Univ. Coll. London, UK
  • Volume
    1
  • fYear
    2003
  • fDate
    8-12 Dec. 2003
  • Firstpage
    723
  • Abstract
    The aim of this work is to utilize an evolutionary algorithm to evolve the microstructure of an object created by a stereolithography machine. This should be optimised to be able to withstand loads applied to it while at the same time minimizing its overall weight. A two part algorithm is proposed which evolves the topology of the structure with a genetic algorithm, while calculating the details of the shape with a separate, deterministic, iterative process derived from standard principles of structural engineering. The division of the method into two separate processes allows both flexibility to changed design parameters without the need for reevolution, and scalability of the microstructure to manufacture objects of increasing size. The results show that a structure was evolved that was both light and stable. The overall shape of the evolved lattice resembled a honeycomb structure that also satisfied the restrictions imposed by the stereolithography machine.
  • Keywords
    deterministic algorithms; function evaluation; genetic algorithms; iterative methods; lithography; structural engineering; topology; deterministic process; evolutionary algorithm; evolutionary microstructure optimization; genetic algorithm; honeycomb structure; iterative process; lattice; microstructure revolution; microstructure scalability; stereolithographic models; stereolithography machine; structural engineering; structural topology; weight minimization; Evolutionary computation; Genetic algorithms; Iterative algorithms; Manufacturing processes; Microstructure; Scalability; Shape; Stereolithography; Structural engineering; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2003. CEC '03. The 2003 Congress on
  • Print_ISBN
    0-7803-7804-0
  • Type

    conf

  • DOI
    10.1109/CEC.2003.1299647
  • Filename
    1299647