Table of Contents
International Journal of Manufacturing Engineering
Volume 2014 (2014), Article ID 943643, 8 pages
http://dx.doi.org/10.1155/2014/943643
Research Article

Optimization of Fusion Zone Grain Size, Hardness, and Ultimate Tensile Strength of Pulsed Current Microplasma Arc Welded AISI 304L Sheets Using Genetic Algorithm

1Department of Mechanical Engineering, Anil Neerukonda Institute of Technology & Sciences, Visakhapatnam 530 003, India
2Department of Mechanical Engineering, AU College of Engineering, Andhra University, Visakhapatnam 531 162, India
3Centurion University of Technology & Management, Odisha 761 211, India

Received 18 September 2013; Accepted 28 January 2014; Published 5 March 2014

Academic Editor: Shia-Chung Chen

Copyright © 2014 Siva Prasad Kondapalli 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. M. Balasubramanian, V. Jayabalan, and V. Balasubramanian, “Effect of process parameters of pulsed current tungsten inert gas welding on weld pool geometry of titanium welds,” Acta Metallurgica Sinica, vol. 23, no. 4, pp. 312–320, 2010. View at Google Scholar · View at Scopus
  2. M. Balasubramanian, V. Jayabalan, and V. Balasubramanian, “Optimizing the pulsed current gas tungsten arc welding parameters,” Journal of Materials Science and Technology, vol. 22, no. 6, pp. 821–825, 2006. View at Google Scholar · View at Scopus
  3. K. Marimuthu and N. Murugan, “Prediction and optimisation of weld bead geometry of plasma transferred arc hardfaced valve seat rings,” Surface Engineering, vol. 19, no. 2, pp. 143–149, 2003. View at Google Scholar · View at Scopus
  4. V. Gunaraj and N. Murugan, “Prediction and comparison of the area of the heat-affected zone for the bead-on-plate and bead-on-joint in submerged arc welding of pipes,” Journal of Materials Processing Technology, vol. 95, no. 1–3, pp. 246–261, 1999. View at Publisher · View at Google Scholar · View at Scopus
  5. V. Gunaraj and N. Murugan, “Application of response surface methodology for predicting weld bead quality in submerged arc welding of pipes,” Journal of Materials Processing Technology, vol. 88, no. 1, pp. 266–275, 1999. View at Publisher · View at Google Scholar · View at Scopus
  6. S. C. Juang and Y. S. Tarng, “Process parameter selection for optimizing the weld pool geometry in the tungsten inert gas welding of stainless steel,” Journal of Materials Processing Technology, vol. 122, no. 1, pp. 33–37, 2002. View at Publisher · View at Google Scholar · View at Scopus
  7. T. T. Allen, R. W. Richardson, D. P. Tagliabue, and G. P. Maul, “Statistical process design for robotic GMA welding of sheet metal,” Welding Journal, vol. 81, no. 5, pp. 69s–172s, 2002. View at Google Scholar · View at Scopus
  8. I.-S. Kim, J.-S. San, and Y.-J. Jeung, “Control and optimization of bead width for mutipass-welding in robotic arc welding processes,” Australian Welding Journal, vol. 46, pp. 43–46, 2001. View at Google Scholar
  9. D. Kim, M. Kang, and S. Rhee, “Determination of optimal welding conditions with a controlled random search procedure,” Welding Journal, vol. 84, no. 8, pp. 125s–130s, 2005. View at Google Scholar · View at Scopus
  10. D. Kim and S. Rhee, “Optimization of arc welding process parameters using a genetic algorithm,” Welding Journal, vol. 80, no. 7, pp. 184s–189s, 2001. View at Google Scholar · View at Scopus
  11. D. C. Montgomery, Design and Analysis of Experiments, John Wiley & Sons, New York, NY, USA, 3rd edition, 1991.
  12. E. P. Boxg, W. H. Hunter, and J. S. Hunter, Statistics for Experiments, John Wiley & Sons, New York, NY, USA, 1978.
  13. S. Babu, T. S. Kumar, and V. Balasubramanian, “Optimizing pulsed current gas tungsten arc welding parameters of AA6061 aluminium alloy using Hooke and Jeeves algorithm,” Transactions of Nonferrous Metals Society of China, vol. 18, no. 5, pp. 1028–1036, 2008. View at Publisher · View at Google Scholar · View at Scopus
  14. W. G. Cochran and G. M. Cox, Experimental Designs, John Wiley & Sons, London, UK, 1957.
  15. T. B. Barker, Quality by Experimental Design, Marcel Dekker, ASQ Quality Press, 1985.
  16. W. P. Gardiner and G. Gettinby, Experimental Design Techniques in Statistical Practice, Horwood, Chichester, UK, 1998.
  17. P. Palanisamy, I. Rajendran, and S. Shanmugasundaram, “Optimization of machining parameters using genetic algorithm and experimental validation for end-milling operations,” International Journal of Advanced Manufacturing Technology, vol. 32, no. 7-8, pp. 644–655, 2007. View at Publisher · View at Google Scholar · View at Scopus
  18. N. Baskar, P. Asokan, G. Prabhaharan, and R. Saravanan, “Optimization of machining parameters for milling operations using non-conventional methods,” The International Journal of Advanced Manufacturing Technology, vol. 25, no. 11-12, pp. 1078–1088, 2005. View at Publisher · View at Google Scholar · View at Scopus
  19. K. S. Prasad, C. S. Rao, and D. N. Rao, “Multi objective optimization of weld bead geometry parameters of pulsed current micro plasma arc welded inconel 625 sheets using enhanced non-dominated sorting genetic algorithm,” Journal of Materials & Metallurgical Engineering, vol. 3, no. 1, pp. 231–3818, 2013. View at Google Scholar
  20. K. S. Prasad, C. S. Rao, and D. N. Rao, “Optimization of pulsed current parameters to minimize pitting corrosion in pulsed current micro plasma arc welded AISI 304L sheets using genetic algorithm,” International Journal of Lean Thinking, vol. 4, no. 1, pp. 9–19, 2013. View at Google Scholar