Warpage optimization on front panel housing by using glowworm swarm optimization (GSO) approach
Injection molding process is a quite popular process in current industries to produce and replicate a various shape of plastic parts. However, the process involved a lot of processing parameters which is importance to control in order to minimize defect such as warpage. Nowadays, there are a lot of...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
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AIP Publishing
2018
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| Online Access: | http://umpir.ump.edu.my/id/eprint/29090/ http://umpir.ump.edu.my/id/eprint/29090/1/Warpage%20optimization%20on%20front%20panel%20housing%20by%20using%20glowworm%20.pdf |
| _version_ | 1848823206162464768 |
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| author | Hazwan, M. H.M. Shayfull, Z. Mohd Rashidi, Maarof Nasir, S. M. Noriman, N. Z. |
| author_facet | Hazwan, M. H.M. Shayfull, Z. Mohd Rashidi, Maarof Nasir, S. M. Noriman, N. Z. |
| author_sort | Hazwan, M. H.M. |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Injection molding process is a quite popular process in current industries to produce and replicate a various shape of plastic parts. However, the process involved a lot of processing parameters which is importance to control in order to minimize defect such as warpage. Nowadays, there are a lot of optimization approaches that can be employed to obtain the suitable processing parameters setting to overcome this kind of defects. In this study, an artificial intelligent optimization method which is Glowworm Swarm Optimization (GSO) approach has been carried out to minimize warpage condition. The front panel housing was tested with the selected processing parameters of melting temperature, cooling time, packing pressure and packing time. Based on the Autodesk Moldflow Insight (AMI) simulation results warpage value is 0.26mm and GSO approach demonstrated a warpage reduction and the results were 0.1625mm. Thus, by utilising GSO in minimising warpage on the molded part can be applied in injection molding industries. |
| first_indexed | 2025-11-15T02:53:27Z |
| format | Conference or Workshop Item |
| id | ump-29090 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:53:27Z |
| publishDate | 2018 |
| publisher | AIP Publishing |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-290902023-08-15T01:27:50Z http://umpir.ump.edu.my/id/eprint/29090/ Warpage optimization on front panel housing by using glowworm swarm optimization (GSO) approach Hazwan, M. H.M. Shayfull, Z. Mohd Rashidi, Maarof Nasir, S. M. Noriman, N. Z. TA Engineering (General). Civil engineering (General) TH Building construction TS Manufactures Injection molding process is a quite popular process in current industries to produce and replicate a various shape of plastic parts. However, the process involved a lot of processing parameters which is importance to control in order to minimize defect such as warpage. Nowadays, there are a lot of optimization approaches that can be employed to obtain the suitable processing parameters setting to overcome this kind of defects. In this study, an artificial intelligent optimization method which is Glowworm Swarm Optimization (GSO) approach has been carried out to minimize warpage condition. The front panel housing was tested with the selected processing parameters of melting temperature, cooling time, packing pressure and packing time. Based on the Autodesk Moldflow Insight (AMI) simulation results warpage value is 0.26mm and GSO approach demonstrated a warpage reduction and the results were 0.1625mm. Thus, by utilising GSO in minimising warpage on the molded part can be applied in injection molding industries. AIP Publishing 2018-11-09 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/29090/1/Warpage%20optimization%20on%20front%20panel%20housing%20by%20using%20glowworm%20.pdf Hazwan, M. H.M. and Shayfull, Z. and Mohd Rashidi, Maarof and Nasir, S. M. and Noriman, N. Z. (2018) Warpage optimization on front panel housing by using glowworm swarm optimization (GSO) approach. In: AIP Conference Proceedings; 4th International Conference on Green Design and Manufacture 2018, IConGDM 2018 , 29 - 30 April 2018 , Eden Star Saigon Hotel, Ho Chi Minh, Vietnam. pp. 1-2., 2030 (020151). ISSN 0094-243X ISBN 9780735417526 (Published) https://doi.org/10.1063/1.5066792 |
| spellingShingle | TA Engineering (General). Civil engineering (General) TH Building construction TS Manufactures Hazwan, M. H.M. Shayfull, Z. Mohd Rashidi, Maarof Nasir, S. M. Noriman, N. Z. Warpage optimization on front panel housing by using glowworm swarm optimization (GSO) approach |
| title | Warpage optimization on front panel housing by using glowworm swarm optimization (GSO) approach |
| title_full | Warpage optimization on front panel housing by using glowworm swarm optimization (GSO) approach |
| title_fullStr | Warpage optimization on front panel housing by using glowworm swarm optimization (GSO) approach |
| title_full_unstemmed | Warpage optimization on front panel housing by using glowworm swarm optimization (GSO) approach |
| title_short | Warpage optimization on front panel housing by using glowworm swarm optimization (GSO) approach |
| title_sort | warpage optimization on front panel housing by using glowworm swarm optimization (gso) approach |
| topic | TA Engineering (General). Civil engineering (General) TH Building construction TS Manufactures |
| url | http://umpir.ump.edu.my/id/eprint/29090/ http://umpir.ump.edu.my/id/eprint/29090/ http://umpir.ump.edu.my/id/eprint/29090/1/Warpage%20optimization%20on%20front%20panel%20housing%20by%20using%20glowworm%20.pdf |