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: | Conference or Workshop Item |
| Language: | English |
| Published: |
EDP Sciences
2016
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/16322/ http://umpir.ump.edu.my/id/eprint/16322/ http://umpir.ump.edu.my/id/eprint/16322/1/Analysis%20of%20Shrinkage%20on%20Thick%20Plate%20Part%20using%20Genetic%20Algorithm.pdf |
| Summary: | 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. |
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