@article{(Open Science Index):https://publications.waset.org/pdf/9999198,
	  title     = {Artificial Neural Network Application on Ti/Al Joint Using Laser Beam Welding – A Review },
	  author    = {K. Kalaiselvan and  A. Elango and  N. M. Nagarajan},
	  country	= {},
	  institution	= {},
	  abstract     = {Today automobile and aerospace industries realise Laser Beam Welding for a clean and non contact source of heating and fusion for joining of sheets. The welding performance is mainly based on by the laser welding parameters. Some concepts related to Artificial Neural Networks and how can be applied to model weld bead geometry and mechanical properties in terms of equipment parameters are reported in order to evaluate the accuracy and compare it with traditional modeling schemes. This review reveals the output features of Titanium and Aluminium weld bead geometry and mechanical properties such as ultimate tensile strength, yield strength, elongation and reduction of the area of the weld using Artificial Neural Network.
},
	    journal   = {International Journal of Mechanical and Mechatronics Engineering},
	  volume    = {8},
	  number    = {8},
	  year      = {2014},
	  pages     = {1477 - 1481},
	  ee        = {https://publications.waset.org/pdf/9999198},
	  url   	= {https://publications.waset.org/vol/92},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 92, 2014},
	}