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Analysis of Shrinkage on Thick Plate Part using Genetic Algorithm

Najihah, S. N. and Shayfull, Z. and Nasir, S. M. and Mohd Sazli, Saad and Rashidi, M. M. and Fathullah, M. and Noriman, N. Z. (2016) Analysis of Shrinkage on Thick Plate Part using Genetic Algorithm. In: MATEC Web of Conferences: 2nd International Conference on Green Design and Manufacture 2016 (IConGDM 2016), 1-2 May 2016 , Phuket, Thailand. pp. 1-12., 78 (01083). ISSN 2261-236X

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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.

Item Type: Conference or Workshop Item (Speech)
Uncontrolled Keywords: Injection moulding; Shrinkage
Subjects: T Technology > TJ Mechanical engineering and machinery
Faculty/Division: Faculty of Mechanical Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 25 Apr 2017 07:36
Last Modified: 23 May 2017 03:53
URI: http://umpir.ump.edu.my/id/eprint/16322
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