Communications in computer and information science: computational approaches for optimization of sport rim parameters
This study considers two computational approaches, mastercam simulation and genetic algorithm (GA) optimization, to estimate the optimal process parameters that lead to the minimum production time of sport rim. The considered process parameters include feed rate, pitch rate, pull rate and spindle sp...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Springer
2011
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/44792/ |
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| Summary: | This study considers two computational approaches, mastercam simulation and genetic algorithm (GA) optimization, to estimate the optimal process parameters that lead to the minimum production time of sport rim. The considered process parameters include feed rate, pitch rate, pull rate and spindle speed which represent the fitness function. The results showed that the minimum production time estimated by mastercam and GA are 91.03 and 70.99 minutes, respectively. Subsequently, GA has reduced the minimum production time of mastercam by about 22%. |
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