Abstract
Injection moulding is the most widely used processes in manufacturing plastic products. Since the quality of injection improves plastic parts are mostly influenced by process conditions, the method to determine the optimum process conditions becomes the key to improving the part quality. This paper presents a systematic methodology to analyse the shrinkage of the thick plate part during the injection moulding process. Genetic Algorithm (GA) method was proposed to optimise the process parameters that would result in optimal solutions of optimisation goals. Using the GA, the shrinkage of the thick plate part was improved by 39.1% in parallel direction and 17.21% in the normal direction of melt flow.
Highlights
Injection moulding categorised as one of the most manufacturing process that used for producing plastic products
After executing ANOVA, it was found that the packing pressure is the most significant factors that contribute shrinkage in both parallel and normal direction, followed by packing time, mould temperature and melt temperature
Melt temperature, packing pressure, and packing time are considered as process parameters
Summary
Injection moulding categorised as one of the most manufacturing process that used for producing plastic products. Differ from other, forming process, injection moulding products as well as the materials are significantly affected by the moulds quality [1]. Injection moulding product serves range from children’s toys to automobile accessories. The process of injection moulding produces a variety of thermoplastic product with tight tolerance, high production volume and complex dimension [2]. There are many different ways of moulding such as blow moulding, injection moulding, rotational moulding and compression moulding. Each method has their benefits in the manufacturing of specific item [3]
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