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Warpage Optimisation on the Moulded Part using Response Surface Methodology (RSM) and Glowworm Swarm Optimisation (GSO)

M. H. M., Hazwan and Z., Shayfull and S., Sharif and S. M., Nasir and Mohd Rashidi, Maarof (2017) Warpage Optimisation on the Moulded Part using Response Surface Methodology (RSM) and Glowworm Swarm Optimisation (GSO). In: MATEC Web of Conferences: Engineering Technology International Conference 2016 (ETIC 2016), 4-5 August 2016 , Ho Chi Mini City, Vietnam. pp. 1-11., 97 (01105). ISSN 2261-236X

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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.

Item Type: Conference or Workshop Item (Speech)
Uncontrolled Keywords: Response Surface Methodology (RSM); Glowworm Swarm Optimisation (GSO); warpage; mould
Subjects: T Technology > TJ Mechanical engineering and machinery
Faculty/Division: Faculty of Mechanical Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 14 Mar 2017 03:51
Last Modified: 19 Sep 2018 00:48
URI: http://umpir.ump.edu.my/id/eprint/17024
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