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Analysis of Strength on Thick Plate Part using Genetic Algorithm Optimisation Method

S. M., Azlan and Z., Shayfull and S. M., Nasir and Mohd Sazli, Saad and Mohd Rashidi, Maarof and M., Fathullah (2016) Analysis of Strength on Thick Plate Part using Genetic Algorithm Optimisation Method. In: MATEC Web of Conferences: 2nd International Conference on Green Design and Manufacture 2016 (IConGDM 2016), 1-2 May 2016 , Phuket, Thailand. pp. 1-11., 78 (01085). ISSN 2261-236X

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Abstract

This study focuses on the optimisation of the injection moulding parameters to maximise the strength ofmoulded parts using a simulation software. The moulded parts were injected with Acrylonitrile- Butadiene-Styrene (ABS) whereas mould temperature, melt temperature, packing pressure and packing time were selected as variable process parameters. The polynomial model obtained using Design of Experiment (DOE) was integrated with the Response Surface Methodology (RSM) and Centre Composite Design (CCD). The RSM was supported with Genetic Algorithm (GA) to anticipate the optimum value of processing parameters with the highest strength. It was found that strength of the parts can be improved 2.2% using the methodology reported herein.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: Injection Moulding; Strength; Genetic Algorithm Optimisation Method
Subjects: T Technology > TJ Mechanical engineering and machinery
Faculty/Division: Faculty of Mechanical Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 28 Oct 2016 03:19
Last Modified: 27 Mar 2017 03:01
URI: http://umpir.ump.edu.my/id/eprint/14826
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