Metamodel-based design optimization of injection molding process variables and gates of an automotive glove box for enhancing its quality

Abstract

Injection molding process variables and gates of an automotive glove box were optimally determined to enhance its injection molding quality. We minimized warpage with satisfying constraints on clamp force, weldline, and profiles of filling and packing. Design variables concerning the injection molding process are temperatures of the mold and the resin, ram speeds, and packing pressures and durations; design variables concerning the gates are the shape of the center gate and locations of two side gates. To optimally determine the design variables in an efficient way, we adopted metamodel-based design optimization, sequentially using an optimal Latin hypercube design as a design of experiment, Kriging models as metamodels that replace time-consuming injection molding simulations, and a micro genetic algorithm as an optimization algorithm. In the optimization process, a commercial injection molding analysis software, Moldflow(TM), was employed to evaluate the injection molding quality at design points specified. Using the proposed design approach, the warpage was found reduced by 20.5% compared to the initial warpage, while all the design constraints were satisfied, which clearly shows the validity of the proposed design approach