| Issue |
MATEC Web Conf.
Volume 78, 2016
2nd International Conference on Green Design and Manufacture 2016 (IConGDM 2016)
|
|
|---|---|---|
| Article Number | 01083 | |
| Number of page(s) | 12 | |
| DOI | https://doi.org/10.1051/matecconf/20167801083 | |
| Published online | 07 October 2016 | |
Analysis of Shrinkage on Thick Plate Part using Genetic Algorithm
1 School of Manufacturing Engineering, Universiti Malaysia Perlis, Kampus Tetap Pauh Putra, 02600 Arau, Perlis, Malaysia
2 Green Design and Manufacture Research Group, Center of Excellence Geopolymer and Green Technology (CEGeoGTech), Universiti Malaysia Perlis, 01000 Kangar, Perlis, Malaysia
3 Centre For Diploma Studies, Universiti Malaysia Perlis, Malaysia
4 Faculty of Mechanical Engineering, Universiti Malaysia Pahang, 26600 Pekan, Pahang, Malaysia
5 Center of Excellence Geopolymer and Green Technology (CEGeoGTech), Faculty of Engineering Technology (FETech), Universiti Malaysia Perlis (UniMAP), Level 1 Block S2, UniCITI Alam
* Corresponding author: shayfull@unimap.edu.my
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.
© The Authors, published by EDP Sciences, 2016
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