Table of Contents
Journal of Industrial Engineering
Volume 2013, Article ID 570250, 15 pages
http://dx.doi.org/10.1155/2013/570250
Research Article

Parametric Optimization of Nd:YAG Laser Beam Machining Process Using Artificial Bee Colony Algorithm

Department of Production Engineering, Jadavpur University, Kolkata, West Bengal 700 032, India

Received 20 December 2012; Accepted 2 July 2013

Academic Editor: Josefa Mula

Copyright © 2013 Rajarshi Mukherjee et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. V. K. Jain, Advanced Machining Processes, Allied Publishers Pvt. Limited, New Delhi, India, 2005.
  2. J. Meijer, “Laser beam machining (LBM), state of the art and new opportunities,” Journal of Materials Processing Technology, vol. 149, no. 1–3, pp. 2–17, 2004. View at Publisher · View at Google Scholar · View at Scopus
  3. A. K. Dubey and V. Yadava, “Laser beam machining: a review,” International Journal of Machine Tools and Manufacture, vol. 48, no. 6, pp. 609–628, 2008. View at Publisher · View at Google Scholar · View at Scopus
  4. A. K. Dubey and V. Yadava, “Experimental study of Nd:YAG laser beam machining: an overview,” Journal of Materials Processing Technology, vol. 195, no. 1–3, pp. 15–26, 2008. View at Publisher · View at Google Scholar · View at Scopus
  5. J. Mathew, G. L. Goswami, N. Ramakrishnan, and N. K. Naik, “Parametric studies on pulsed Nd:YAG laser cutting of carbon fibre reinforced plastic composites,” Journal of Materials Processing Technology, vol. 89-90, pp. 198–203, 1999. View at Publisher · View at Google Scholar · View at Scopus
  6. A. S. Kuar, B. Doloi, and B. Bhattacharyya, “Modelling and analysis of pulsed Nd:YAG laser machining characteristics during micro-drilling of zirconia (ZrO2),” International Journal of Machine Tools and Manufacture, vol. 46, no. 12-13, pp. 1301–1310, 2006. View at Publisher · View at Google Scholar · View at Scopus
  7. A. S. Kuar, G. Paul, and S. Mitra, “Nd:YAG laser micromachining of alumina-aluminium interpenetrating phase composite using response surface methodology,” International Journal of Machining and Machinability of Materials, vol. 1, pp. 432–444, 2006. View at Google Scholar
  8. D. Dhupal, B. Doloi, and B. Bhattacharyya, “Optimization of process parameters of Nd:YAG laser microgrooving of Al2TiO5 ceramic material by response surface methodology and artificial neural network algorithm,” Proceedings of the Institution of Mechanical Engineers B, vol. 221, no. 8, pp. 1341–1351, 2007. View at Publisher · View at Google Scholar · View at Scopus
  9. A. K. Dubey and V. Yadava, “Multi-objective optimisation of laser beam cutting process,” Optics and Laser Technology, vol. 40, no. 3, pp. 562–570, 2008. View at Publisher · View at Google Scholar · View at Scopus
  10. D. Dhupal, B. Doloi, and B. Bhattacharyya, “Pulsed Nd:YAG laser turning of micro-groove on aluminum oxide ceramic (Al2O3),” International Journal of Machine Tools and Manufacture, vol. 48, no. 2, pp. 236–248, 2008. View at Publisher · View at Google Scholar · View at Scopus
  11. A. K. Dubey and V. Yadava, “Optimization of kerf quality during pulsed laser cutting of aluminium alloy sheet,” Journal of Materials Processing Technology, vol. 204, no. 1–3, pp. 412–418, 2008. View at Publisher · View at Google Scholar · View at Scopus
  12. D. Dhupal, B. Doloi, and B. Bhattacharyya, “Parametric analysis and optimization of Nd:YAG laser micro-grooving of aluminum titanate (Al2TiO5) ceramics,” International Journal of Advanced Manufacturing Technology, vol. 36, no. 9–10, pp. 883–893, 2008. View at Publisher · View at Google Scholar · View at Scopus
  13. U. Çaydaş and A. Hasçalık, “Use of the grey relational analysis to determine optimum laser cutting parameters with multi-performance characteristics,” Optics & Laser Technology, vol. 40, pp. 987–994, 2008. View at Google Scholar
  14. D. Dhupal, B. Doloi, and B. Bhattacharyya, “Modeling and optimization on Nd:YAG laser turned micro-grooving of cylindrical ceramic material,” Optics and Lasers in Engineering, vol. 47, no. 9, pp. 917–925, 2009. View at Publisher · View at Google Scholar · View at Scopus
  15. R. Rao and V. Yadava, “Multi-objective optimization of Nd:YAG laser cutting of thin superalloy sheet using grey relational analysis with entropy measurement,” Optics and Laser Technology, vol. 41, no. 8, pp. 922–930, 2009. View at Publisher · View at Google Scholar · View at Scopus
  16. J. Ciurana, G. Arias, and T. Ozel, “Neural network modeling and particle swarm optimization (PSO) of process parameters in pulsed laser micromachining of hardened AISI H13 steel,” Materials and Manufacturing Processes, vol. 24, no. 3, pp. 358–368, 2009. View at Publisher · View at Google Scholar · View at Scopus
  17. Sivarao, T. J. S. Anand, and A. Shukor, “RSM based modeling for surface roughness prediction in laser machining,” International Journal of Engineering & Technology, vol. 10, pp. 32–37, 2010. View at Google Scholar
  18. B. Doloi, D. Dhupal, and B. Bhattacharyya, “Modelling and analysis on machining characteristics during pulsed Nd:YAG laser microgrooving of aluminium titanate (Al2TiO5),” International Journal of Manufacturing Technology and Management, vol. 21, no. 1-2, pp. 30–41, 2010. View at Publisher · View at Google Scholar · View at Scopus
  19. A. S. Kuar, S. K. Dhara, and S. Mitra, “Multi-response optimisation of Nd:YAG laser micro-machining of die steel using response surface methodology,” International Journal of Manufacturing Technology and Management, vol. 21, no. 1-2, pp. 17–29, 2010. View at Publisher · View at Google Scholar · View at Scopus
  20. A. Sharma, V. Yadava, and R. Rao, “Optimization of kerf quality characteristics during Nd: YAG laser cutting of nickel based superalloy sheet for straight and curved cut profiles,” Optics and Lasers in Engineering, vol. 48, no. 9, pp. 915–925, 2010. View at Publisher · View at Google Scholar · View at Scopus
  21. R. Biswas, A. S. Kuar, S. Sarkar, and S. Mitra, “A parametric study of pulsed Nd:YAG laser micro-drilling of gamma-titanium aluminide,” Optics and Laser Technology, vol. 42, no. 1, pp. 23–31, 2010. View at Publisher · View at Google Scholar · View at Scopus
  22. G. Kibria, B. Doloi, and B. Bhattacharyya, “Experimental analysis on Nd:YAG laser micro-turning of alumina ceramic,” International Journal of Advanced Manufacturing Technology, vol. 50, no. 5–8, pp. 643–650, 2010. View at Publisher · View at Google Scholar · View at Scopus
  23. R. Biswas, A. S. Kuar, S. K. Biswas, and S. Mitra, “Effects of process parameters on hole circularity and taper in pulsed Nd:YAG laser microdrilling of Tin-Al2O3 composites,” Materials and Manufacturing Processes, vol. 25, no. 6, pp. 503–514, 2010. View at Publisher · View at Google Scholar · View at Scopus
  24. R. Biswas, A. S. Kuar, S. K. Biswas, and S. Mitra, “Characterization of hole circularity in pulsed Nd:YAG laser micro-drilling of TiN-Al2O3 composites,” International Journal of Advanced Manufacturing Technology, vol. 51, no. 9–12, pp. 983–994, 2010. View at Publisher · View at Google Scholar · View at Scopus
  25. S. Panda, D. Mishra, and B. B. Biswal, “Determination of optimum parameters with multi-performance characteristics in laser drilling—a grey relational analysis approach,” International Journal of Advanced Manufacturing Technology, vol. 54, no. 9–12, pp. 957–967, 2011. View at Publisher · View at Google Scholar · View at Scopus
  26. T. V. Sibalija, S. Z. Petronic, V. D. Majstorovic, R. Prokic-Cvetkovic, and A. Milosavljevic, “Multi-response design of Nd:YAG laser drilling of Ni-based superalloy sheets using Taguchi's quality loss function, multivariate statistical methods and artificial intelligence,” International Journal of Advanced Manufacturing Technology, vol. 54, no. 5–8, pp. 537–552, 2011. View at Publisher · View at Google Scholar · View at Scopus
  27. D. Karaboga and B. Basturk, “Artificial bee colony (ABC) optimization algorithm for solving constrained optimization problems,” in Foundations of Fuzzy Logic and Soft Computing, vol. 4529, pp. 789–798, Springer, Berlin, Germany, 2007. View at Google Scholar · View at Scopus
  28. D. Karaboga and B. Basturk, “A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm,” Journal of Global Optimization, vol. 39, no. 3, pp. 459–471, 2007. View at Publisher · View at Google Scholar · View at Scopus
  29. D. Karaboga and B. Basturk, “On the performance of artificial bee colony (ABC) algorithm,” Applied Soft Computing, vol. 8, no. 1, pp. 687–697, 2008. View at Publisher · View at Google Scholar · View at Scopus
  30. D. Karaboga and B. Akay, “A comparative study of artificial bee colony algorithm,” Applied Mathematics and Computation, vol. 214, no. 1, pp. 108–132, 2009. View at Publisher · View at Google Scholar · View at Scopus
  31. S. Samanta and S. Chakraborty, “Parametric optimization of some non-traditional machining processes using artificial bee colony algorithm,” Engineering Applications of Artificial Intelligence, vol. 24, no. 6, pp. 946–957, 2011. View at Publisher · View at Google Scholar · View at Scopus
  32. T. L. Saaty, The Analytic Hierarchy Process, McGraw-Hill, New York, NY, USA, 1980.