DIE STRESS OPTIMIZATION USING QUANTUM BEHAVED PARTICLE SWARM OPTIMIZATION

In metal-forming industries, die is an important tool for fabrication of metal – formed products. Die service life, which is defined as the maximum product number produced by die before it fails, and die performance directly determine the quality of metal-formed product and production cost. In this paper, a methodology for optimization of die stress is developed via the rational design of metal-forming system in such a way that the die stress is optimal. Study proposes a methodology for optimization of die stress via rational design of metal forming process based on three dimensional finite element simulations. For this purpose full factorial experimental design is performed to study the effect of studied factors and their interaction on the die stress. Statistically valid equation is developed and used with quantum behaved particle swarm optimization (QPSO) to determine the optimal values of factors for the minimization of die stress.