Abstract

Nowadays, there are various of optimisation methods that 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 Glowworm Swarm Optimisation (GSO) method in order to determine the optimal processing parameters setting which will optimise the warpage condition. Based on the results, melt temperature is the most significant factor contribute to the warpage condition and warpage have optimised by 39.1% after optimisation. The finding shows that the application of optimisation work offers the best quality of moulded part produced.

Highlights

  • Injection moulding process consists into four main stages which are filling, packing, cooling and ejecting processes [1, 2]

  • Full factorial design (FFD) with four centre points was selected as an experimental design to evaluate the model and main effects contribute to the warpage condition by using Design Expert 7.0 software

  • The results tabulate the warpage value for each run with the specified variable parameters condition which obtained from the design of experiment (DOE)

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Summary

Introduction

Injection moulding process consists into four main stages which are filling, packing, cooling and ejecting processes [1, 2]. Most of injection moulding industries have used try-and-error approach in order to obtain an appropriate processing parameters setting which consume time and production cost [5]. Today with the advancement of computer technology, an appropriate combination of processing parameters can be obtained by simulation analysis software with an aid of optimisation approach which is highly accurate, shorter time, and much more cheaper [3]. These days, many researchers come with various proposals of optimisation approaches to determine an optimal processing parameters in order to optimise the quality of injection moulded parts

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