Comprehensive optimization of injection parts quality using numerical simulation and hybrid intelligence technology

Abstract

Due to the coupling and nonlinear relationship between processing variables, it is difficult to achieve the comprehensive optimization of injection part quality effectively only by conventional methods. To solve the problem above, firstly some quality indices were extracted according to the quality requirements of the product and a fuzzy comprehensive evaluation formula including the pertinent indices was used as a mathematical description of injection parts quality. Then an approximate calculation and optimization model was obtained by combining numerical simulation with hybrid intelligence technology. Finally the method discussed above is proved to be feasible and effective by the study of a deep-cavity and shell-shape part.