Location
UNLV SEB Lobby & Auditorium
Start Date
26-4-2013 9:30 AM
End Date
26-4-2013 3:00 PM
Description
In this research, 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 (a), 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 (a) was investigated and the appropriate a value is equal to 0.5.
Keywords
Catalysts; Fuel cells; Sphere packings
Disciplines
Mathematics | Mechanical Engineering | Numerical Analysis and Scientific Computing | Theory and Algorithms
Language
English
Included in
Mathematics Commons, Mechanical Engineering Commons, Numerical Analysis and Scientific Computing Commons, Theory and Algorithms Commons
Mono-sized sphere packing algorithm development using optimized Monte Carlo technique
UNLV SEB Lobby & Auditorium
In this research, 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 (a), 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 (a) was investigated and the appropriate a value is equal to 0.5.