Mono-sized sphere packing algorithm development using optimized Monte Carlo technique
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.
Catalysts; Computer simulations; Fuel cells; Mathematical models; Sphere packings
Mechanical Engineering | Numerical Analysis and Computation | Numerical Analysis and Scientific Computing | Oil, Gas, and Energy
Use Find in Your Library, contact the author, or interlibrary loan to garner a copy of the item. Publisher policy does not allow archiving the final published version. If a post-print (author's peer-reviewed manuscript) is allowed and available, or publisher policy changes, the item will be deposited.
Mono-sized sphere packing algorithm development using optimized Monte Carlo technique.
Advanced Powder Technology, 24(6),