Optimization of explosive mass in explosive forming process by using genetic algorithm

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In this study, by using genetic algorithm, optimization of explosive mass in explosive forming technique, which is used for production of large parts in especially aerospace industries today, is done. Genetic algorithm is an artificial intelligence optimization technique applied in very different science branches for more than twenty years. In this method, codes of genetic operators like selection, crossover and mutation happened in nature, adapted to computer environment are used. Explosive forming is a nontraditional production technique in which only female die (sometimes only male die) is produced and then put with the forming plate on the bottom of a digged hole. The transmitting medium (most of the time water) and explosion pressure are used as a male die. In explosive forming operation, explosive mass is the main variable that determines the operational cost. Therefore it is very important to make explosive mass minimum. Explosive forming can be assumed to be a type of deep drawing process and by using deep drawing formulas and explosion pressure formulas, it is shown that part parameters can be chosen by genetic algorithm to make explosive mass minimum.

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Explosive forming , Deep drawing , Explosive mass , Genetic algorithm

Erciyes University Journal Of The Institute Of Science an‎d Technology

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Erciyes University Journal Of The Institute Of Science an‎d Technology