2. Cook G.E, Andersen K, Barrett R.J. Feedback and Adaptive Control in Welding. Proceedings of the 2nd International Conference on Trends in Welding Research. (1988), 891–903
3. Mckee K.E. Welding, Robots and Productivity. Welding Journal. 61 (9) (1982), 30–25
5. Brien R.L. Welding Handbook. American Welding Society. (1990), 2 110–155
6. Cary H.B. Modern Welding Technology, New Jersey. Prentice Hall, (. (1979), 169–175
7. Kim I.S, Son K.J, Yang Y.S, Yaragada PK DV. Sensitivity Analysis for Process Parameters in GMA Welding Processes Using a Factorial Design Method.
International Journal of Machine Tools Manufacturing. (2003), 763–769
https://doi.org/10.1016/S0890-6955(03)00054-3
[CROSSREF]
11. Myers P.S, Uyehara O.A, Borman G.L. Fundamentals of Heat Flow in Welding. Welding Research Council Bulletin. (1967), 123
14. Jackson C.E. The science of Arc Welding. Welding Journal. 39 (6) (1960), 225–230
15. Shinoda T, Doherty J. The Relationship Between Arc Welding Parameters and Weld Bead Geometry, A Literature Survey. The Welding Institute Report. (1978), 74.
16. Galopin M, Boridy E. Statistical Experiment in Arc Welding. Advances in Welding Science and Technology, Proceedings of an. International Conference on Trends in Welding Research. (1986), 719–722
18. Hammersberg P, Olsson H. Proactive Control of Weld Dimensions in Robot MAG Welding. (2013)
20. McGlone J.C. Welding Bead Geometry Prediction – A Review. Metal Construction. 14 (7) (1982), 378–384
21. Doherty J, McGlone J.C. Relationships Between Process Parameters and Weld Geometry. The Welding Institute Report. (1977), 52.
23. Abbasi K. An Experimental Study on the Effect of MIG Welding Parameters on The Weld-Bead Shape Characteristics. International journal of Engineering Science and Technology. (2012), 2 (4)
24. Gurev H.S, Stout R.D. Solidification Phenomena in Inertgas Metal Arc Welds. Welding Journal. 42 (7) (1963), 298–310
25. Srinivasulu Reddy K. Optimization & Prediction of Welding Parameters and Weld Bead Geometry In Submerged Arc Welding. International Journal of Applied Engineering Research And Development. 3 (3) (2013), 1–6
26. Haragopal G, Ravindra Reddy PVR, Chandra Mohan Reddy G, Subrahmanyam J.V. Parametric Design for MIG Welding of Al-65032 Alloy Using Taguchi Technique. Journal of Scientific and Industrial Research. (70), (2011), 844–858
27. Zhang C, Zhao G, Chen H, Guan Y, Li H. Optimization of An Aluminum Profile Extrusion Process Based on Taguchi's Method with S/N Analysis.
International Journal of Advanced Manufacturing Technology. (2012), 6 589–599
https://doi.org/10.1007/s00170-011-3622-x
[CROSSREF]
30. Alagumurthi N, Palaniradja K, Soundararajan V. Optimization of Grinding Process Through Design of Experiment (DOE), A Comparative Study.
Materials and Manufacturing Processes. 21 (1) (2006), 19–21
https://doi.org/10.1080/AMP-200060605
[CROSSREF]
31. Hsiao Y, Tarng Y, Huang W. Optimization of Plasma Arc Welding Parameters by Using The Taguchi Method with The Grey Relational Analysis.
Journal of Materials and Manufacturing Processes. (2008), 23 51–58
https://doi.org/10.1080/10426910701524527
[CROSSREF]
32. Datta S, Sundar M, Bandyopadhyay A, Pal P.K, Roy S.C, Nandi G. Statistical Modeling for Predicting Bead Volume of Submerged Arc Butt Welds. Australasian Welding Journal. (2006), 51.
33. Gunaraj V, Murugan N. Prediction and Optimization of Weld Bead Volume for The Submerged Arc Process - Part 1. Welding Journal. (2000), 286–294
34. Gunaraj V, Murugan N. Prediction and Optimization of Weld Bead Volume for The Submerged Arc Process - Part 2. Welding Journal. (2000), 331–338
35. Kim D, Kang M, Rhee S. Determination of Optimal Welding Conditions with a Controlled Random Search Procedure. Welding Journal. (2005)
36. Hargopal G, Ravindra Reddy PVR. Parameter Design for MIG Welding of Al-65032 Alloy Using Taguchi Technique. Journal of Scientific and Industrial Research. (2011), 70 844–850
37. Chauhan V, Khandoori G, Kumar A. Role of Taguchi Design of Experiment in Optimization of Welding Process Parameters for Different Materials-A Review. International Journal of Advanced Technology & Engineering Research (IJATER). (2014), 146–151
39. Esme U, Bayramoglu M, Kazancoglu Y, Ozgun S. Optimization of Weld Bead Geometry in Tig Welding Process Using Grey Relational Analysis and Taguchi Method. Materials and Technology. (2009), 43 143–149
41. Jones S.B. Process Tolerance in Submerged Arc Welding, Initial Report. The Welding Institute Report. (1976), 1.
42. McGlone J.C. The Submerged Arc Butt Welding of Mild Steel Part 1 :The Influence of Procedure Parameters on Weld Bead Geometry. The Welding Institute Report. (1978), 79.
43. McGlone J.C, Chadwick D.B. The Submerged Arc Butt Welding of Mild Steel Part 2 :The Prediction of Weld Bead Geometry From The Procedure Parameters. The Welding Institute Report. (1978), 80.
44. Doherty J, Shinoda T, Weston J. The Relationships Between Arc Welding Parameters and Fillet Weld Geometry for MIG Welding with Flux Cored Wires. The Welding Institute Report. (1978), 82.
45. Pandey S, Parmar R.S. Mathematical Models for Predicting Bead Geometry and Shape Relationships for MIG Welding of Aluminium Alloy 5083. Recent Trends in Welding Science and Technology, TWR '89. Proceedings of the 2nd International Conference on Trends in Welding Research. (1989), 37–41
46. Raveendra J, Parmer R.S. Mathematical Models to Predict Weld Bead Geometry for Flux Cored Arc Welding. Metal Construction. 19 (2) (1987), 31–35
47. Chandel R.S. Mathematical Modelling of Gas Metal Arc Weld Features. Modeling and Control of Casting and Welding Processes IV. Proceedings of the Fourth International Conference on Modeling of Casting and Welding Processes. (1988), 109–120
49. Park M.H, Kim I.S, Lee J.P, Kim D.H, Jin B.J, Kim I.J, Kim J.S. Sensitivity Analysis for Prediction of Bead Geometry Using Plasma Arc Welding in Bellows Segment. International Journal of Engineering Research & Science. 2 (4) (2016), 154–161
51. Kim I.S, Park M.H, Kim H.H, Lee J.P, Park C.K, Shim J.Y. An Experimental Study on Mathematical Model to Predict Bead Width in GMA Weldment.
International Journal of Precision Engineering and Manufacturing. 32 (2) (2015), 209–217
https://doi.org/10.7736/KSPE.2015.32.2.209
[CROSSREF] [PDF]
52. Minsky M.L, Papeat S.A. Perceptions. Cambridge. MA:MIT Press. (1969)
53. Freeman J.A, Shapura D.M. Neural Networks Algorithms, Applications and Programming Techniques. (1991), New York NY: Addison-Wesley.
61. Kim I.S, Park C.E. Use of a Neural Network to Control Bead Width in GMA Welding. Welding Research Supplement of the Australian Welding Journal Welding Research Supplement. 45 (3) (2000), 33–37
62. Son J.S, Park M.H, Jin B.J, Yun T.J, Kim I.S. A Study on Modeling and Controlling Bead Height in The Robotic GMA Welding. International Journal of Applied Engineering Research. 12 (13) (2017), 3631–3638
63. Thao D.T, Kim I.S, Na H.H, Jung S.M, Shim J.Y. Development of Mathematical Model with A Genetic Algorithm for Automatic GMA Welding Process.
The International Journal of Advanced Manufacturing Technology. 5 (8) (2014), 837–847
https://doi.org/10.1007/s00170-014-5842-3
[CROSSREF]
64. Son J.S, Park M.H, Jin B.J, Yun T.J, Shim J.Y, Kim I.S. A Study on New Method for Control to Bead Width using Infrared Sensors. International Journal of Engineering Research And Management. 4 (4) (2017), 42–48
68. Son J.S, Lee J.P, Park M.H, Kim D.H, Jin B.H, Ki K.S, Kim C.G, Kim I.S. A Study On-line Mathematical Model to Control of Bead Width for Arc Welding Process.
International Scientific Journal published monthly by the World Academy of Materials and Manufacturing Engineering. 72 (2) (2015), 78–85
https://doi.org/10.1016/j.proeng.2017.01.146
[CROSSREF]
69. Kim I.S, Chon K.S, Son J.S, Seo J.H, Kim H.H, Shim J.Y. A Study on Monitoring for Process Parameters using Isotherm Radii. Journal of Welding and Joining. 24 (5) (2006), 385–390
70. Yen J, Langari R. Fuzzy Logic Intelligence, Control, and Information. (1999), New Jersy: Prentice-Hall Inc.
72. Kosko B. Neural Networks and Fuzzy Systems. (1992), New Jersey: Prentice Hall.