Abstract
We propose an efficient searching method of an optimum particle distribution for the minimum porosity in random packing simulation by genetic algorithm (GA). The particle distribution is defined by five central values which are composed of particles diameters and their frequencies, and these parameters have limited upper and lower values. The porosity of the powder heap in the packing mold is calculated and evaluated by random packing simulation algorithm which simulates independent porosity of the packing order. GA evaluates the simulated porosity and searches an optimum particle distribution for minimum porosity as an inverse problem. Our GA simulation has reduced the simulation times to 61% of that of the conventional round-robin method for searching the optimum particle distribution.
