Gas-assisted Injection Molding Optimization with M.O.G.A.

Abstract

This paper presents the optimization of injection molding techniques carried out through the parameterization of the process variables and an intensive use of multi-objective genetic algorithms. Starting from a simple case of injection molding, in order to set up the evaluation criteria, several output variables have been checked to measure the improvements achieved in the molded part. The flow analysis of the resin shot during the filling phase, is initially, focused on velocity and thermal distribution to prevent defects due to non-uniform thermo-fluid dynamic situations. Afterwards, taking into account a part molded with the G.A.I.M. technique, the optimization issues have been concentrated on the gas bubble guidance into the part to achieve a deeper penetration into rib-gas channels and, at the same time, to avoid undesirable penetration into thin-thickness areas.