Warpage Optimisation on the Moulded Part using Response Surface Methodology (RSM) and Genetic Algorithm (GA) Optimisation Approaches

Todays, many optimisation approaches have been explored by many researchers to find the appropriate processing parameters setting for the injection moulding process. From the previous researches, it was reported that the optimisation work has improved the moulded part quality. In this study, the application of optimisation work to improve warpage of the front panel housing have been explored. By selecting cooling time, coolant temperature, packing pressure and melt temperature as the variable parameters, design of experiment (DOE) have been constructed by using the rotatable central composite design (CCD) approach. Response Surface Methodology (RSM) was performed to obtain the mathematical model. This mathematical model then will be used in Genetic Algorithm (GA) optimisation method as a fitness function to determine the appropriate processing parameters setting which will optimise the warpage condition. Based on the results, Coolant temperature give the most significant contribution to the warpage condition and warpage have optimised by 40.5% after optimisation. The finding shows that the application of optimisation work offers the best quality of moulded part produced.