Warpage optimisation on the moulded part with straight drilled and conformal cooling channels using Response Surface Methodology (RSM), Glowworm Swarm Optimisation (GSO) and Genetic Algorithm (GA) Optimisation Approaches
It is quite challenging to control both quality and productivity of products produced using injection molding process. Although many previous researchers have used different types of optimisation approaches to obtain the best configuration of parameters setting to control the quality of the molded p...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021
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| Online Access: | http://eprints.utm.my/97899/1/SafianSharif2021_WarpageOptimisationontheMouldedPartwithStraightDrilled.pdf |
| _version_ | 1796866513880219648 |
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| author | Mohd. Hanid, Mohd. Hazwan Abd. Rahim, Shayfull Zamree Gondro, Joanna Sharif, Safian Al Bakri Abdullah, Mohd. Mustafa Mohd. Zain, Azlan Abdellah, Abdellah El-Hadj Mat Saad, Mohd. Nasir |
| author_facet | Mohd. Hanid, Mohd. Hazwan Abd. Rahim, Shayfull Zamree Gondro, Joanna Sharif, Safian Al Bakri Abdullah, Mohd. Mustafa Mohd. Zain, Azlan Abdellah, Abdellah El-Hadj Mat Saad, Mohd. Nasir |
| author_sort | Mohd. Hanid, Mohd. Hazwan |
| collection | ePrints |
| description | It is quite challenging to control both quality and productivity of products produced using injection molding process. Although many previous researchers have used different types of optimisation approaches to obtain the best configuration of parameters setting to control the quality of the molded part, optimisation approaches in maximising the performance of cooling channels to enhance the process productivity by decreasing the mould cycle time remain lacking. In this study, optimisation approaches namely Response Surface Methodology (RSM), Genetic Algorithm (GA) and Glowworm Swarm Optimisation (GSO) were employed on front panel housing moulded using Acrylonitrile Butadiene Styrene (ABS). Each optimisation method was analysed for both straight drilled and Milled Groove Square Shape (MGSS) conformal cooling channel moulds. Results from experimental works showed that, the performance of MGSS conformal cooling channels could be enhanced by employing the optimisation approach. Therefore, this research provides useful scientific knowledge and an alternative solution for the plastic injection moulding industry to improve the quality of moulded parts in terms of deformation using the proposed optimisation approaches in the used of conformal cooling channels mould. |
| first_indexed | 2024-03-05T21:13:17Z |
| format | Article |
| id | utm.eprints-97899 |
| institution | Universiti Teknologi Malaysia - ePrints |
| language | English |
| last_indexed | 2024-03-05T21:13:17Z |
| publishDate | 2021 |
| publisher | MDPI AG |
| record_format | dspace |
| spelling | utm.eprints-978992022-11-10T00:35:29Z http://eprints.utm.my/97899/ Warpage optimisation on the moulded part with straight drilled and conformal cooling channels using Response Surface Methodology (RSM), Glowworm Swarm Optimisation (GSO) and Genetic Algorithm (GA) Optimisation Approaches Mohd. Hanid, Mohd. Hazwan Abd. Rahim, Shayfull Zamree Gondro, Joanna Sharif, Safian Al Bakri Abdullah, Mohd. Mustafa Mohd. Zain, Azlan Abdellah, Abdellah El-Hadj Mat Saad, Mohd. Nasir TJ Mechanical engineering and machinery It is quite challenging to control both quality and productivity of products produced using injection molding process. Although many previous researchers have used different types of optimisation approaches to obtain the best configuration of parameters setting to control the quality of the molded part, optimisation approaches in maximising the performance of cooling channels to enhance the process productivity by decreasing the mould cycle time remain lacking. In this study, optimisation approaches namely Response Surface Methodology (RSM), Genetic Algorithm (GA) and Glowworm Swarm Optimisation (GSO) were employed on front panel housing moulded using Acrylonitrile Butadiene Styrene (ABS). Each optimisation method was analysed for both straight drilled and Milled Groove Square Shape (MGSS) conformal cooling channel moulds. Results from experimental works showed that, the performance of MGSS conformal cooling channels could be enhanced by employing the optimisation approach. Therefore, this research provides useful scientific knowledge and an alternative solution for the plastic injection moulding industry to improve the quality of moulded parts in terms of deformation using the proposed optimisation approaches in the used of conformal cooling channels mould. MDPI AG 2021 Article PeerReviewed application/pdf en http://eprints.utm.my/97899/1/SafianSharif2021_WarpageOptimisationontheMouldedPartwithStraightDrilled.pdf Mohd. Hanid, Mohd. Hazwan and Abd. Rahim, Shayfull Zamree and Gondro, Joanna and Sharif, Safian and Al Bakri Abdullah, Mohd. Mustafa and Mohd. Zain, Azlan and Abdellah, Abdellah El-Hadj and Mat Saad, Mohd. Nasir (2021) Warpage optimisation on the moulded part with straight drilled and conformal cooling channels using Response Surface Methodology (RSM), Glowworm Swarm Optimisation (GSO) and Genetic Algorithm (GA) Optimisation Approaches. Materials, 14 (6). pp. 1-19. ISSN 1996-1944 http://dx.doi.org/10.3390/ma14061326 DOI : 10.3390/ma14061326 |
| spellingShingle | TJ Mechanical engineering and machinery Mohd. Hanid, Mohd. Hazwan Abd. Rahim, Shayfull Zamree Gondro, Joanna Sharif, Safian Al Bakri Abdullah, Mohd. Mustafa Mohd. Zain, Azlan Abdellah, Abdellah El-Hadj Mat Saad, Mohd. Nasir Warpage optimisation on the moulded part with straight drilled and conformal cooling channels using Response Surface Methodology (RSM), Glowworm Swarm Optimisation (GSO) and Genetic Algorithm (GA) Optimisation Approaches |
| title | Warpage optimisation on the moulded part with straight drilled and conformal cooling channels using Response Surface Methodology (RSM), Glowworm Swarm Optimisation (GSO) and Genetic Algorithm (GA) Optimisation Approaches |
| title_full | Warpage optimisation on the moulded part with straight drilled and conformal cooling channels using Response Surface Methodology (RSM), Glowworm Swarm Optimisation (GSO) and Genetic Algorithm (GA) Optimisation Approaches |
| title_fullStr | Warpage optimisation on the moulded part with straight drilled and conformal cooling channels using Response Surface Methodology (RSM), Glowworm Swarm Optimisation (GSO) and Genetic Algorithm (GA) Optimisation Approaches |
| title_full_unstemmed | Warpage optimisation on the moulded part with straight drilled and conformal cooling channels using Response Surface Methodology (RSM), Glowworm Swarm Optimisation (GSO) and Genetic Algorithm (GA) Optimisation Approaches |
| title_short | Warpage optimisation on the moulded part with straight drilled and conformal cooling channels using Response Surface Methodology (RSM), Glowworm Swarm Optimisation (GSO) and Genetic Algorithm (GA) Optimisation Approaches |
| title_sort | warpage optimisation on the moulded part with straight drilled and conformal cooling channels using response surface methodology rsm glowworm swarm optimisation gso and genetic algorithm ga optimisation approaches |
| topic | TJ Mechanical engineering and machinery |
| url | http://eprints.utm.my/97899/1/SafianSharif2021_WarpageOptimisationontheMouldedPartwithStraightDrilled.pdf |
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