[2]
Information on http: /www. twi. co. uk/news-events/bulletin/archive/pre-1998-articles/1992- articles/eureka-expert-system.
Google Scholar
[3]
J. Jones. Expert System Matches Welding Electrodes to the Job. Welding Journal, 1987, 66(4), pp.52-53.
Google Scholar
[4]
R.E. Reeves, T.D. Manley, A. Potter and D.R. Ford. Expert System Technology - an Avenue to an Intelligent Weld Process Control System. Welding Journal, 1988, 67(6), pp.33-41.
Google Scholar
[5]
J. Triouleyre and J.L. Grand. Database in Relation to Welding Processes. Computer Technology in Welding, 1986, pp.439-446.
Google Scholar
[6]
S. Kikushima. Development of Welding Expert System. Yshikawashima Harima Gihou, 1990, 30(2), pp.111-115.
Google Scholar
[7]
G. Sepold, E. Schubert and S. Weise. Software development for statistical test planning for laser-beam welding. Welding and Cutting, 1998, 50(4), p. E70-E73.
Google Scholar
[8]
S.B. Chen, D.B. Zhao, L. Wu and Y.J. Lou. Intelligent methodology for sensing, modeling and control of pulsed GTAW: Part2-Butt Joint Welding. Welding Journal, 2000, 79(6), p. 164s-174s.
Google Scholar
[9]
T. Kaminskas, G. Kulvietis and L. Keblas. Web–based collaborative weldin process design without defects/Proceedings of the 10th WSEAS international conference on Systems. World Scientific and Engineering Academy and Society (WSEAS), 2006, pp.652-655.
Google Scholar
V.D. Tsoukalas, M. Kontesis, E. Badogiannis, D. Papachristos and N. Fragiadakis. An Intelligent Defects Expert System for Aluminum Welding Process. WSEAS Transactions on Information Science and Applications, 2007, 4(2), pp.339-345.
Google Scholar
[1]
K. Veera Babu, R. Ganesh Narayanan and G. Saravana Kumar. An expert system based on artificial neural network for predicting the tensile behavior of tailor welded blanks. Expert Systems with Applications, 2009, 36(7), pp.10683-10695.
DOI: 10.1016/j.eswa.2009.02.044
Google Scholar
[2]
N.U. Dar. Expert System For Optimization Of Welding Process Of Thin Walled HSLA Steel Structures. University of Engineering & Technology, Taxila, (2009).
Google Scholar
[3]
D. Shahriari, J. Jodaki, V. Jandaghi Shahi et al. Development of an Expert Engineering Module for Determination of Ultrasonic Probe Position on the Weld Joint of Plate. Advanced Materials Research, 2010, 83-86, pp.1306-1314.
DOI: 10.4028/www.scientific.net/amr.83-86.1306
Google Scholar
[4]
K. Anderson, G.E. Cook, G. Karsai et al. Artificial neural network applied to arc welding process modeling and control. IEEE Trans. on Industry Application, 1990, 26(5), pp.824-830.
DOI: 10.1109/28.60056
Google Scholar
[5]
M. Takuma, N. Shinke and H. Motono. Evaluation of function of spot-welded joint using ultrasonic inspection: Nondestructive evaluation on tension shearing strength with neural network. JSME international journal. Series A, mechanics and material engineering, 1996, 39(4), pp.626-632.
DOI: 10.1299/jsmea1993.39.4_626
Google Scholar
[6]
S.B. Chen, D.B. Zhao, L. Wu and Y.J. Lou. Intelligent methodology for sensing, modeling and control of pulsed GTAW: Part1-bead on plate welding. Welding Journal, 2000, 79(6), p. 151s-163s.
Google Scholar
[7]
X.W. Wang, Y. Huang and Y.M. Zhang. Droplet Transfer Model for Laser Enhanced GMAW. The International Journal of Advanced Manufacturing Technology, 2013, 64(1), pp.207-217.
DOI: 10.1007/s00170-012-4014-6
Google Scholar