Intelligent Modeling for Optimization of A-TIG Welding Process

REFERENCES

• Howse , D.S. ; Lucas , W. Investigation into arc constriction by active fluxes for tungsten inert gas welding . Science and Technology of Welding and Joining 2000 , 5 , 189 – 193 .
   Web of Science ®Google Scholar
• Huang , H.Y. ; Shyu , S.W. ; Tseng , K.H. ; Chou , C.P. Evaluation of TIG flux welding on the characteristics of stainless steel . Science and Technology of Welding and Joining 2005 , 10 , 566 – 573 .
   Web of Science ®Google Scholar
• Vasudevan , M. Computational and Experimental Studies on Arc Welded Austenitic Stainless Steels. Ph.D. thesis, Indian Institute of Technology, Madras, India.
   Google Scholar
• Vasudevan , M. ; Bhaduri , A.K. ; Baldev , R. Development and Evaluation of Activated Flux for TIG Welding of Type 304LN and Type 316LN Stainless Steel; Chennai, International Institute of Welding International Congress, January 8–10, 2008; 211–218.
   Google Scholar
• Goldberg , D.E. Genetic Algorithms in Search, Optimization, and Machine Learning ; Addison Wesley : Reading , MA , 1989 .
   Google Scholar
• Deb , K. An introduction to genetic algorithms . Sadhana 1999 , 24 , 293 – 315 .
   Web of Science ®Google Scholar
• Chakraborti , N. Genetic algorithms in materials design and processing . International Material Reviews 2004 , 49 , 246 – 260 .
   Web of Science ®Google Scholar
• Paszkowicz , W. Genetic algorithms, a nature-inspired tool: Survey of applications in materials science and related fields . Materials and Manufacturing Processes 2009 , 24 , 174 – 197 .
   Web of Science ®Google Scholar
• Coello Coello , C.A. ; Becerra , R.L. Evolutionary multiobjective optimization in materials science and engineering . Materials and Manufacturing Processes 2009 , 24 , 119 – 129 .
   Web of Science ®Google Scholar
• Bag , S. ; De , A. ; DebRo , T. A genetic algorithm–assisted inverse convective heat transfer model for tailoring weld geometry . Materials and Manufacturing Processes 2009 , 24 , 384 – 397 .
   Web of Science ®Google Scholar
• Mishra , S. ; Debroy , T. Tailoring gas tungsten arc weld geometry using a genetic algorithm and a neural network trained with convective heat flow calculations . Materials Science and Engineering A 2007 , 477–486 , A454 – A455 .
   Google Scholar
• Kumar , A. ; Debroy , T. Tailoring fillet weld geometry using a genetic algorithm and a neural network trained with a convective heat transfer calculations . Welding Journal 2007 , 86 ( 1 ), 26s – 33s .
   Web of Science ®Google Scholar
• Nagesh , D.S. ; Datta , G.L. Genetic algorithm for optimization of welding variables for height to width ratio and application of ANN for prediction in TIG welding process . Applied Soft Computing 2010 , 10 , 897 – 907 .
   Web of Science ®Google Scholar
• Vasudevan , M. ; Bhaduri , A.K. ; Raj , B. ; Prasad Rao , K. Genetic algorithm based computational model for pptimising the process parameters in A-TIG welding of 304LN and 316LN stainless steels . Materials and Manufacturing Processes 2007 , 22 ( 5 ), 641 – 649 .
   Web of Science ®Google Scholar
• Vasudevan , M. ; Arunkumar , V. ; Chandrasekhar , N. ; Maduraimuthu , V. Multi-objective genetic algorithm for optimization of A-TIG welding process for mod . 9Cr-1Mo steel. Science and Technology of Welding and Joining 2010 , 15 ( 2 ), 117 – 123 .
   Web of Science ®Google Scholar