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PRODUCTION & MANUFACTURING

The use of multi-objective genetic algorithm (MOGA) in optimizing and predicting weld quality

| (Reviewing editor)
Article: 1741310 | Received 12 Aug 2019, Accepted 03 Mar 2020, Published online: 21 Mar 2020

References

  • Anil, P. M., & Patel, N. B. (2015). Parametric optimization of TIG welding on UNS S31603 using genetic algorithm. International Journal of Advance Engineering and Research Development, 2(5).
  • Benyounis, K. Y., Olabi, A. G., & Hashmi, M. S. J. (2005). Effect of laser welding parameters on the heat input and weld-bead profile. Journal of Materials Processing Technology, 164–165C, 971–11.
  • Correia, D. S., Concalves, C. V., Sebastiao, S. C., & Ferraresi, V. A. (2005). Comparison between genetic algorithms and response surface methodology in GMAW optimization. Journal of Materials Processing Technology, 160(1), 70–76. https://doi.org/10.1016/j.jmatprotec.2004.04.243
  • Deb, K. (2001). Multi-objective optimization using evolutionary algorithms. John Wiley and Sons, Ltd.
  • Elangovan, S., Venkateshwaran, S., & Prakasan, K. (2012). Experimental investigations on optimization of ultrasonic welding parameters for copper to brass joints using response surface method and genetic algorithm. International Journal of Advanced Engineering Research and Studies, I(III), 55–64.
  • Gaitonde, V. N., Karnik, S. R., Achyutha, B. T., & Siddeswarappa, B. (2008). Genetic algorithm-based burr size minimization in drilling of AISI 316L stainless steel. Journal of Materials Processing Technology, 197(1–3), 225–236. https://doi.org/10.1016/j.jmatprotec.2007.06.029
  • Gen, M., & Cheng, R. (2000). Genetic algorithm and engineering optimization. John Wiley & Sons, Inc.
  • Groover, M. P. (2007). Fundamentals of modern manufacturing. Wiley.
  • Ixtaina, Kah, P., Presso, M., Rosales, N., & Marin, G. H. (2015). Glare by Light Emitting Diode (LED) vehicle traffic signals. International Journal of Mechanical and Materials Engineering, 10(1), 1–10. https://doi.org/10.1186/s40712-014-0027-2
  • Meran, C. (2006). Prediction of the optimized welding parameters for the joined brass plates using genetic algorithm. Journal Materials & Design, 27(5), 356–363. https://doi.org/10.1016/j.matdes.2004.11.004
  • Mishra, S., & Debroy, T. (2007). Tailoring gas tungsten arc weld geometry using a genetic algorithm and a neural network trained with convective heat flow calculations. Materials Science and Engineering, 454–455, 477–486. https://doi.org/10.1016/j.msea.2006.11.149
  • Myers, R. H., & Montogomery, D. C. (1995). Response surface methodology: Process improvement with steepest ascent, the analysis of response surfaces, experimental designs for fitting response surface. John Wiley and Sons Inc.
  • NIST/SEMATECH. (2006). e-handbook of statistical methods.Retrieved from http://www.itl.nist.gov/div898/handbook/
  • Praveen, P., & Yarlagadda, P. (2005). Meeting challenges in welding of aluminium alloys through pulse gas metal arc welding. Journal of Materials Processing Technology, 164, 1106–1112. https://doi.org/10.1016/j.jmatprotec.2005.02.224
  • Sada, S. O. (2018). Optimization of weld strength properties of tungsten inert gas mild steel welds using the response surface methodology. Nigeria Journal of Technology, 37(2), 407–415. https://doi.org/10.4314/njt.v37i2.15
  • Shafikh, M., & Sudheesh, R. S. (2013) Parameter optimization using genetic algorithm in gas metal arc welding of mild steel. Proceedings of international conference on materials for the future - innovative materials, processes, products and applications. ICMF.
  • Simpson, A. R., Dandy, G. C., & Murphy, L. (1994). Genetic algorithms compared to other techniques for pipe optimization. Journal of Water Resources Planning and Management, 120(4), 423–443. https://doi.org/10.1061/(ASCE)0733-9496(1994)120:4(423)
  • Sun, Z., & Karppi, R. (1996). The application of electron beam welding for the joining of dissimilar metals: An overview. Journal of Materials Processing Technology, 59(3), 257. https://doi.org/10.1016/0924-0136(95)02150-7
  • Vijayan, D., & Abhishek, P. (2018). Multi objective process parameters optimization of friction stir welding using NSGA – II. IOP Conference Series: Materials Science and Engineering, 390, 012087. https://doi.org/10.1088/1757-899X/390/1/012087
  • Winiczenko, R. (2015). Effect of Friction welding parameters on the tensile strength and microstructural properties of dissimilar AISI 1020-ASTM A536. International Journal of Advanced Manufacturing Technology, 84, 941–955.