• Title of article

    Mono-sized sphere packing algorithm development using optimized Monte Carlo technique

  • Author/Authors

    Karn Soontrapa، نويسنده , , Yitung Chen، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2013
  • Pages
    7
  • From page
    955
  • To page
    961
  • Abstract
    In this paper, fuel cell catalyst layer was developed using the optimized sphere packing algorithm. An optimization technique named adaptive random search technique (ARSET) was employed in this packing algorithm. The ARSET algorithm will generate the initial location of spheres and allow them to move in the random direction with the variable moving distance, randomly selected from the sampling range (α), based on the Lennard–Jones potential and Morse potential of the current and new configuration. The solid fraction values obtained from this developed algorithm are in the range of 0.610–0.624 while the actual processing time can significantly be reduced by 5.58–34% based on the number of spheres. The initial random number sampling range (α) was investigated and the appropriate α value is equal to 0.5.
  • Keywords
    sphere packing , Monte Carlo , optimization , Solid Fraction , Adaptive random search
  • Journal title
    Advanced Powder Technology
  • Serial Year
    2013
  • Journal title
    Advanced Powder Technology
  • Record number

    1248478