Norfadzlan, Yusup and Arezoo, Sarkheyli and Azlan, Mohd Zain and Siti Zaiton, Mohd Hashim and Norafida, Ithnin (2013) Estimation of optimal machining control parameters using artificial bee colony. Journal of Intelligent Manufacturing, 25 (6). pp. 1463-1472. ISSN 1572-8145
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Abstract
Modern machining processes such as abrasive waterjet (AWJ) are widely used in manufacturing industries nowadays. Optimizing the machining control parameters are essential in order to provide a better quality and economics machining. It was reported by previous researches that artificial bee colony (ABC) algorithm has less computation time requirement and offered optimal solution due to its excellent global and local search capability compared to the other optimization soft computing techniques. This research employed ABC algorithm to optimize the machining control parameters that lead to a minimum surface roughness (R a) value for AWJ machining. Five machining control parameters that are optimized using ABC algorithm include traverse speed (V), waterjet pressure (P), standoff distance (h), abrasive grit size (d) and abrasive flow rate (m). From the experimental results, the performance of ABC was much superior where the estimated minimum R a value was 28, 42, 45, 2 and 0.9 % lower compared to actual machining, regression, artificial neural network (ANN), genetic algorithm (GA) and simulated annealing (SA) respectively.
Item Type: | Article |
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Uncontrolled Keywords: | Machining, Abrasive waterjet, Optimization, research, Universiti Malaysia Sarawak, Unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education |
Subjects: | Q Science > Q Science (General) T Technology > T Technology (General) T Technology > TJ Mechanical engineering and machinery |
Divisions: | Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology Faculties, Institutes, Centres > Faculty of Computer Science and Information Technology Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology |
Depositing User: | Karen Kornalius |
Date Deposited: | 02 Dec 2013 04:31 |
Last Modified: | 27 Dec 2016 03:01 |
URI: | http://ir.unimas.my/id/eprint/46 |
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