• DocumentCode
    1827925
  • Title

    Determination of the Pareto-optimal build orientations in Stereolithography

  • Author

    Giannatsis, J. ; Canellidis, V. ; Dedoussis, V.

  • Author_Institution
    Dept. of Ind. Manage. & Technol., Univ. of Piraeus, Piraeus, Greece
  • fYear
    2010
  • fDate
    7-10 Dec. 2010
  • Firstpage
    281
  • Lastpage
    285
  • Abstract
    The selection of build orientation for a given part is one of the most important tasks encountered in the process planning phase of Layer Manufacturing in general and Stereolithography in particular. The orientation selection is by definition a multi-criteria optimization problem in which the operator seeks to achieve the optimum trade-off between cost and quality depending on the given fabrication constraints and requirements. In the present work a solution approach that focuses on the determination of the set of Pareto-optimal orientations is examined. Pareto-optimal orientations could be considered as a set of good choices for the selection of the optimum orientation for both single part and multiple (batch) fabrication. For the construction of this set in a time-efficient manner a Genetic Algorithm is employed. In order to investigate the efficiency of the proposed approach a case study is examined and the corresponding results are presented.
  • Keywords
    Pareto optimisation; genetic algorithms; layered manufacturing; process planning; stereolithography; fabrication constraints; genetic algorithm; layer manufacturing; multicriteria optimization problem; pareto-optimal build orientations; stereolithography; Biological cells; Fabrication; Optimization; Rough surfaces; Surface roughness; Surface treatment; Build Orientation; Genetic Algorithms; Pareto optimum; Stereolithography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2010 IEEE International Conference on
  • Conference_Location
    Macao
  • ISSN
    2157-3611
  • Print_ISBN
    978-1-4244-8501-7
  • Electronic_ISBN
    2157-3611
  • Type

    conf

  • DOI
    10.1109/IEEM.2010.5674465
  • Filename
    5674465