Warpage Optimisation on the Moulded Part using Response Surface Methodology (RSM) and Glowworm Swarm Optimisation (GSO)
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EDP Sciences
2021
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my.unimap-692782021-01-12T08:23:16Z Warpage Optimisation on the Moulded Part using Response Surface Methodology (RSM) and Glowworm Swarm Optimisation (GSO) Mohd Hazwan, Mohd Hanid Shayfull Zamree, Abd Rahim S., Sharif S. M., Nasir M. M., Rashidi hazwanhanid@unimap.edu.my Injection moulding Response Surface Methodology (RSM) Glowworm Swarm Optimisation (GSO) Link to publisher's homepage at https://www.matec-conferences.org/ 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. 2021-01-12T08:23:16Z 2021-01-12T08:23:16Z 2017 Article MATEC Web Conferences, vol.97, 2017, 11 pages 2261-236X (online) http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69278 https://doi.org/10.1051/matecconf/20179701105 en Engineering Technology International Conference 2016 (ETIC 2016); EDP Sciences |
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Injection moulding Response Surface Methodology (RSM) Glowworm Swarm Optimisation (GSO) |
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Injection moulding Response Surface Methodology (RSM) Glowworm Swarm Optimisation (GSO) Mohd Hazwan, Mohd Hanid Shayfull Zamree, Abd Rahim S., Sharif S. M., Nasir M. M., Rashidi Warpage Optimisation on the Moulded Part using Response Surface Methodology (RSM) and Glowworm Swarm Optimisation (GSO) |
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Link to publisher's homepage at https://www.matec-conferences.org/ |
| author2 |
hazwanhanid@unimap.edu.my |
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hazwanhanid@unimap.edu.my Mohd Hazwan, Mohd Hanid Shayfull Zamree, Abd Rahim S., Sharif S. M., Nasir M. M., Rashidi |
| format |
Article |
| author |
Mohd Hazwan, Mohd Hanid Shayfull Zamree, Abd Rahim S., Sharif S. M., Nasir M. M., Rashidi |
| author_sort |
Mohd Hazwan, Mohd Hanid |
| 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 |
2021 |
| url |
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/69278 |
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1698698583417552896 |