Analysis of Optimization Parameters for Plastic Injection Process Molding by Genetic Algorithm

Purpose: to analyze the optimum parameters in the injection molding of carbon fiber 66 (PA66) composite resin obtained from the injection molding process of the electrical connector assembly. Design/methodology/approach: Experimental research will examine relevant parameters uti lizing experimental design based on the Genetic Algorithm Method. Findings The optimum parameters in the injection molding process are Injection Pressure at 110 MPa, Holding Pressure at 55 MPa, Holding Time at 1.0 sec, Injection Speed at 40 mm/s, Injection Stroke at value 15 mm, which will make the results of the injection workpiece pro duced from the injection machine be the length that is in the standard value. Practical implications: The findings improved the molding problem: Short shot problem enhanced by 1.15%; Weld line problem improved by 0.38%; Silver mark problem enhanced by 0.11%. Originality/value: Decrease the defect from a short shot problem in the injection molding process to save time and reduce production costs.