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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| Format: | Conference or Workshop Item |
| Language: | English |
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EDP Sciences
2017
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| Online Access: | 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 |
| _version_ | 1796992013250330624 |
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| 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 |
| collection | UMP |
| 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. |
| first_indexed | 2024-03-06T12:13:48Z |
| format | Conference or Workshop Item |
| id | UMPir17024 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:13:48Z |
| publishDate | 2017 |
| publisher | EDP Sciences |
| record_format | dspace |
| spelling | UMPir170242018-09-19T00:48:21Z 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 |
| 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) |
| title | 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_short | 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 |
| topic | TJ Mechanical engineering and machinery |
| url | 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 |
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