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

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...

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Main Authors:	M. H. M., Hazwan, Z., Shayfull, S., Sharif, S. M., Nasir, Mohd Rashidi, Maarof
Format:	Conference or Workshop Item
Language:	English
Published:	EDP Sciences 2017
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/17024/ http://umpir.ump.edu.my/id/eprint/17024/ http://umpir.ump.edu.my/id/eprint/17024/1/Warpage%20Optimisation%20on%20the%20Moulded%20Part%20using%20Response%20Surface%20Methodology%20%28RSM%29%20and%20Glowworm%20Swarm%20Optimisation%20%28GSO%29.pdf

id	ump-17024
recordtype	eprints
spelling	ump-170242018-09-19T00:48:21Z http://umpir.ump.edu.my/id/eprint/17024/ Warpage Optimisation on the Moulded Part using Response Surface Methodology (RSM) and Glowworm Swarm Optimisation (GSO) M. H. M., Hazwan Z., Shayfull S., Sharif S. M., Nasir Mohd Rashidi, Maarof TJ Mechanical engineering and machinery 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. EDP Sciences 2017 Conference or Workshop Item PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/17024/1/Warpage%20Optimisation%20on%20the%20Moulded%20Part%20using%20Response%20Surface%20Methodology%20%28RSM%29%20and%20Glowworm%20Swarm%20Optimisation%20%28GSO%29.pdf 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 https://doi.org/10.1051/matecconf/20179701105
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery M. H. M., Hazwan Z., Shayfull S., Sharif S. M., Nasir Mohd Rashidi, Maarof Warpage Optimisation on the Moulded Part using Response Surface Methodology (RSM) and Glowworm Swarm Optimisation (GSO)
description	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.
format	Conference or Workshop Item
author	M. H. M., Hazwan Z., Shayfull S., Sharif S. M., Nasir Mohd Rashidi, Maarof
author_facet	M. H. M., Hazwan Z., Shayfull S., Sharif S. M., Nasir Mohd Rashidi, Maarof
author_sort	M. H. M., Hazwan
title	Warpage Optimisation on the Moulded Part using Response Surface Methodology (RSM) and Glowworm Swarm Optimisation (GSO)
title_short	Warpage Optimisation on the Moulded Part using Response Surface Methodology (RSM) and Glowworm Swarm Optimisation (GSO)
title_full	Warpage Optimisation on the Moulded Part using Response Surface Methodology (RSM) and Glowworm Swarm Optimisation (GSO)
title_fullStr	Warpage Optimisation on the Moulded Part using Response Surface Methodology (RSM) and Glowworm Swarm Optimisation (GSO)
title_full_unstemmed	Warpage Optimisation on the Moulded Part using Response Surface Methodology (RSM) and Glowworm Swarm Optimisation (GSO)
title_sort	warpage optimisation on the moulded part using response surface methodology (rsm) and glowworm swarm optimisation (gso)
publisher	EDP Sciences
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/17024/ http://umpir.ump.edu.my/id/eprint/17024/ http://umpir.ump.edu.my/id/eprint/17024/1/Warpage%20Optimisation%20on%20the%20Moulded%20Part%20using%20Response%20Surface%20Methodology%20%28RSM%29%20and%20Glowworm%20Swarm%20Optimisation%20%28GSO%29.pdf
first_indexed	2023-09-18T22:23:13Z
last_indexed	2023-09-18T22:23:13Z
_version_	1777415794773196800

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

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