Analysis of Shrinkage on Thick Plate Part using Genetic Algorithm
Injection moulding is the most widely used processes in manufacturing plastic products. Since the quality of injection improves plastic parts are mostly influenced by process conditions, the method to determine the optimum process conditions becomes the key to improving the part quality. This paper...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2016-01-01
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| Series: | MATEC Web of Conferences |
| Online Access: | http://dx.doi.org/10.1051/matecconf/20167801083 |
| _version_ | 1829136722810634240 |
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| author | Najihah S.N. Shayfull Z. Nasir S.M. Saad Mohd Sazli Rashidi M.M. Fathullah M. Noriman N.Z. |
| author_facet | Najihah S.N. Shayfull Z. Nasir S.M. Saad Mohd Sazli Rashidi M.M. Fathullah M. Noriman N.Z. |
| author_sort | Najihah S.N. |
| collection | DOAJ |
| description | Injection moulding is the most widely used processes in manufacturing plastic products. Since the quality of injection improves plastic parts are mostly influenced by process conditions, the method to determine the optimum process conditions becomes the key to improving the part quality. This paper presents a systematic methodology to analyse the shrinkage of the thick plate part during the injection moulding process. Genetic Algorithm (GA) method was proposed to optimise the process parameters that would result in optimal solutions of optimisation goals. Using the GA, the shrinkage of the thick plate part was improved by 39.1% in parallel direction and 17.21% in the normal direction of melt flow. |
| first_indexed | 2024-12-14T18:48:12Z |
| format | Article |
| id | doaj.art-57c816e120cd4a8db22d7c2e8c93e0b8 |
| institution | Directory Open Access Journal |
| issn | 2261-236X |
| language | English |
| last_indexed | 2024-12-14T18:48:12Z |
| publishDate | 2016-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | MATEC Web of Conferences |
| spelling | doaj.art-57c816e120cd4a8db22d7c2e8c93e0b82022-12-21T22:51:20ZengEDP SciencesMATEC Web of Conferences2261-236X2016-01-01780108310.1051/matecconf/20167801083matecconf_icongdm2016_01083Analysis of Shrinkage on Thick Plate Part using Genetic AlgorithmNajihah S.N.0Shayfull Z.Nasir S.M.Saad Mohd SazliRashidi M.M.1Fathullah M.Noriman N.Z.2School of Manufacturing Engineering, Universiti Malaysia PerlisFaculty of Mechanical Engineering, Universiti Malaysia PahangCenter of Excellence Geopolymer and Green Technology (CEGeoGTech), Faculty of Engineering Technology (FETech), Universiti Malaysia Perlis (UniMAP)Injection moulding is the most widely used processes in manufacturing plastic products. Since the quality of injection improves plastic parts are mostly influenced by process conditions, the method to determine the optimum process conditions becomes the key to improving the part quality. This paper presents a systematic methodology to analyse the shrinkage of the thick plate part during the injection moulding process. Genetic Algorithm (GA) method was proposed to optimise the process parameters that would result in optimal solutions of optimisation goals. Using the GA, the shrinkage of the thick plate part was improved by 39.1% in parallel direction and 17.21% in the normal direction of melt flow.http://dx.doi.org/10.1051/matecconf/20167801083 |
| spellingShingle | Najihah S.N. Shayfull Z. Nasir S.M. Saad Mohd Sazli Rashidi M.M. Fathullah M. Noriman N.Z. Analysis of Shrinkage on Thick Plate Part using Genetic Algorithm MATEC Web of Conferences |
| title | Analysis of Shrinkage on Thick Plate Part using Genetic Algorithm |
| title_full | Analysis of Shrinkage on Thick Plate Part using Genetic Algorithm |
| title_fullStr | Analysis of Shrinkage on Thick Plate Part using Genetic Algorithm |
| title_full_unstemmed | Analysis of Shrinkage on Thick Plate Part using Genetic Algorithm |
| title_short | Analysis of Shrinkage on Thick Plate Part using Genetic Algorithm |
| title_sort | analysis of shrinkage on thick plate part using genetic algorithm |
| url | http://dx.doi.org/10.1051/matecconf/20167801083 |
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