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
Link To Document :
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