Abstract
Parameters estimation in abrasive waterjet (AWJ) machining process is a task of searching a set of values that lead to the optimal machining performance. This task is usually conducted by using soft computing techniques like genetic algorithms (GA) and simulated annealing (SA). However, we found that the objective function of the problem is a simple quadratic formula with box constraints. Accordingly many established optimization methods from quadratic programming study can be employed to search for the optimal parameter values. In this paper, we demonstrate the use of the active set method for solving the problem and show that this method can confidently outperform GA and SA both in the machining performance and computational times. These results suggest that this kind of problems should be addressed by using established gradient based optimization algorithms first before using soft computing techniques because the formers have better convergence property and also usually are faster than the latters.
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Acknowledgments
The author would like to thank the reviewers for useful comments. This research was supported by Ministry of Higher Education of Malaysia and Universiti Teknologi Malaysia under Exploratory Research Grant Scheme R.J130000.7828.4L095.
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© 2014 Springer Science+Business Media Singapore
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Mirzal, A. (2014). Optimal Parameters Estimation in AWJ Machining Process using Active Set Method. In: Herawan, T., Deris, M., Abawajy, J. (eds) Proceedings of the First International Conference on Advanced Data and Information Engineering (DaEng-2013). Lecture Notes in Electrical Engineering, vol 285. Springer, Singapore. https://doi.org/10.1007/978-981-4585-18-7_22
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DOI: https://doi.org/10.1007/978-981-4585-18-7_22
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