1 |
Nagesh, D. S. and Datta, G. L., "Prediction of weld bead geometry and penetration (prediction) in shielded metal arc welding using artificial neural networks," Journal of Material Processing Technology, Vol. 123, No. 2, pp. 303-312, 2002.
DOI
ScienceOn
|
2 |
Jeng, J. Y., Mau, T. F. and Leu, S. M., "Prediction of laser butt joint welding parameters using backpropagation and learning vector quantisation network," Journal of Material Processing Technology, Vol. 99, No. 1-3, pp. 207-218, 2000.
DOI
ScienceOn
|
3 |
Tarng, Y. S., Tsai, H. L. and Yeh, S. S., "Modelling, optimization and classification of weld quality in tungsten inert Gas welding," International Journal of Machine Tools and Manufacturing, Vol. 39, No. 9, pp. 1427-1438, 1999.
DOI
ScienceOn
|
4 |
Li, P., Fang, M. T. C. and Lucas, J., "Modelling of submerged arc welding bead using self-adaptive offset neural network," Journal of Materials Process Technology, Vol. 71, No. 2, pp. 228-298, 1997.
|
5 |
Chandel, R. S., "Mathematical modelling of gas metal arc weld features," Proceedings of the Fourth International Conference on Modeling of Casting and Welding Processes, pp. 109-120, 1988.
|
6 |
Tang, Y. S. Juang, S. C. and Chang, C. H., "The use of Grey-based Taguchi method to determine submerged arc welding process parameters in Hardfacing," Journal of Material Processing Technology, Vol. 128, No. 1-3, pp. 1-6, 2002.
DOI
|
7 |
Li, D. and Srikanthan, T., "Neural nerwork based self-organized fuzzy logic control for arc welding," Engineering Applications of Artificial Intelligence, Vol. 14, No. 2, pp. 115-124, 2001.
DOI
ScienceOn
|
8 |
Viet, J. M., David, S. A., Richey, M. W., Biffin, J., Blundell, N. and Page, C. J., "Weld pool shape prediction in plasma augmented laser welded steel," Science and Technology of Welding and Joining, Vol. 6, No. 5, pp. 305-314, 2001.
DOI
ScienceOn
|
9 |
Rosenthal, D., "Mathematical theory of heat distribution during welding and cutting," Welding Journal, Vol. 20, No. 5, pp. 22-24, 1946.
|
10 |
Hanright, J, "Robotic arc welding under adaptive control - A surbey of current technology," Welding Journal, Vol. 65, No. 11, pp. 19-24, 1986.
|
11 |
Kim, I. S. and Park, C. E., "Use of a neural network to control bead width in GMA welding," Welding Research Supplement, Vol. 45, No. 3, pp. 33-37, 2000.
|
12 |
Park, Y. W., Park, H. S., Rhee, S. and Kang, M. J., "Real time estimation of CO2 laser weld quality for automotive industry," Journal of Optics & Laser Technology, Vol. 34, No. 2, pp. 135-142, 2002.
DOI
ScienceOn
|