[1]
|
R. L. Klueh,“Reduced-Activation Bainitic and Martensitic Steels for Nuclear Fusion Applications,” Current Opinion in Solid State and Materials Science, Vol. 8, No. 3-4, 2004, pp. 239-250. doi:10.1016/j.cossms.2004.09.004
|
[2]
|
R. W. Conn, E. E. Bloom, J. W. Davis, R. E. Gold, R. Little, K. R. Schultz, D. L. Smith and F. W. Wiffen, “Report on Low Activation Materials for Fusion Applications,” Nuclear Technology/Fusion, Vol. 5, 1984, pp. 291-310.
|
[3]
|
P. J. Modenesi, E. R. Apolinario and I. M. Pereira, “TIG Welding with Single-Component Fluxes,” Journal of Materials Processing Technology, Vol. 99, No. 1-3, 2000, pp. 260-265. doi:10.1016/S0924-0136(99)00435-5
|
[4]
|
K. A. Yushchenko, D. V. Kovalenko and I. V. Kovalenko, “Peculiarities of A-TIG Welding of Stainless Steel,” Proceedings of the 7th International Conference on Trends in Welding Research, Callaway Gardens Resort, Pine Mountain, 16-20 May 2005.
|
[5]
|
L. N. Lie, D. H. Cai and Z. D. Zhang, “Gas Tungsten Arc Welding of Magnesium Alloy Using Activated Flux Coated Wire,” Scripta Materialia, Vol. 57, No. 8, 2007, pp. 695698. doi:10.1016/j.scriptamat.2007.06.040
|
[6]
|
Z. D. Zhang, L. M. Liu, Y. Shen and L. Wang, “Mechanical Properties and Microstructure of Magnesium Alloy Gas Tungsten Arc Welded with a Cadmium Chloride Flux,” Materials Characterization, Vol. 59, No. 1, 2008, pp. 40-46. doi:10.1016/j.matchar.2006.10.012
|
[7]
|
Z. D. Zhang, L. M. Liu, Y. Shen and L. Wang, “Welding of Magnesium Alloys with Activating Flux,” Science and Technology of Welding & Joining, Vol. 10, No. 6, 2005, pp. 737-743. doi:10.1179/174329305X70702
|
[8]
|
T. Paskell, C. Lundin and H. Castner, “GTAW Flux Increases Weld Joint Penetration,” Welding Journal, Vol. 76, No. 4, 1997, pp. 57-62.
|
[9]
|
M. Vasudevan, “Computational and Experimental Studies on Arc Welded Austenitic Stainless Steels,” Ph.D. Thesis, Indian Institute of Technology, Madras, 2007.
|
[10]
|
P. C. J. Anderson and R. Wiktorowicz, “Improving Productivity with A-TIG Welding,” Welding and Metal Fabrication, Vol. 64, No. 3, 1996, pp. 108-109.
|
[11]
|
M. Vasudevan and B. Raj, “Soft Computing in Materials Science and Engineering,” IIM Metal News, Vol. 12, No. 1, 2009, pp. 15-21.
|
[12]
|
M. Vasudevan, “Soft Computing Techniques in Stainless Steel Welding,” Materials and Manufacturing Processes, Vol. 24, No. 2, 2009, pp. 209-218.
doi:10.1080/10426910802612338
|
[13]
|
N. Chakraborti, “Genetic Algorithm in Materials Design and Processing,” International Material Reviews, Vol. 49, No. 3-4, 2004, pp. 246-260.
doi:10.1179/095066004225021909
|
[14]
|
A. Abraham and B. Nath, “Hybrid Intelligent System Design—A Review of a Decade of Research,” IEEE Transactions on Systems, Man and Cybernetics (Part C), Vol. 3, No. 1, 2000, pp. 1-37.
|
[15]
|
S. Datta, F. Pettersson, S. Ganguly, H. Saxen and N. Chakraborti, “Designing High Strength Multi-Phase Steel for Improved Strength-Ductility Balance Using Neutral Networks and Multi-Objective Genetic Algorithm,” ISIJ International, Vol. 47, No. 8, 2007, pp. 1195-1203.
doi:10.2355/isijinternational.47.1195
|
[16]
|
S. Dey, S. Datta, P. P. Chattopadhyay and J. Sil, “Modeling the Properties of TRIP Steel Using AFIS: A Distributed Approach,” Computational Materials Science, Vol. 43, No. 3, 2008, pp. 501-511.
doi:10.1016/j.commatsci.2007.12.009
|
[17]
|
H. C. Qian, B. C. Xia, S. Z. Li and F. G. Wang, “Fuzzy Neural Network Modeling of Material Properties,” Journal of Materials Processing Technology, Vol. 122, No. 2-3, 2002, pp. 196-200.
doi:10.1016/S0924-0136(02)00019-5
|
[18]
|
M.-Y. Chen and D. A. Linkens, “Impact Toughness Prediction for TMCP Steels Using Knowledge-Based Neural-fuzzy Modeling,” ISIJ International, Vol. 46, No. 4, 2006, pp. 586-590. doi:10.2355/isijinternational.46.586
|
[19]
|
J. E. R. Dhas and S. Kumanan, “ANFIS for Predicted of Weld Bead Width in a Submerged Arc Welding Process,” Journal of Scientific and Industrial Research, Vol. 66, No. 5, 2007, pp. 335-338.
|
[20]
|
Radovan Kovacevic and Yu.M.Zhang, “Neurofuzzy Model-Based weld Fusion State Estimation, IEEE control Systems,” Vol. 17(2), 1997, pp.30-42.
|
[21]
|
M. Vasudevan, M. V. Kuppuswamy and A. K. Bhaduri, “Optimizing Process Parameters for Gas Tungsten Arc Welding of an Austenitic Stainless Steel Using Genetic Algorithm,” Transactions of the Indian Institute of Metals, Vol. 63, No. 3, 2010, pp. 1-10.
doi:10.1007/s12666-010-0001-5
|
[22]
|
M. Vasudevan, K. N. Gowtham and T. Jayakumar, “Predicting Depth of Penetration, Weld Bead Width and HAZ Width in mod. 9Cr-1Mo Steel Welds Using Adaptive Neuro Fuzzy Inference System (ANFIS) Based Models,” International Journal of computational Materials Science and Surface Engineering, Vol. 4, No. 3, 2011, pp. 205-218.
|
[23]
|
K. N. Gowtham, M. Vasudevan, V. Maduraimuthu and T. Jayakumar, “Intelligent Modeling Combining ANFIS and Genetic Algorithm for Optimizing Welding Process Parameters,” Metallurgical and Materials Transactions B, Vol. 42, No. 2, 2011, pp. 385-392.
|
[24]
|
S. Bag and A. De, “Development of Efficient Numerical Heat Transfer Model Coupled with Genetic Algorithm Based Optimization for Prediction of Process Variables in GTA Spot Welding,” Science and Technology of Welding and Joining, Vol. 14, No. 4, 2009, pp. 633-645.
doi:10.1179/136217108X356791
|
[25]
|
M. Vasudevan, V. ArunKumar, N. Chandrasekhar and V. Maduraimuthu, “Genetic Algorithm for Optimization of A-TIG Welding Process for Modified 9Cr-1Mo Steel,” Science and Technology of Welding and Joining, Vol. 15, No. 2, 2010, pp. 117-123.
doi:10.1179/136217109X12577814486773
|
[26]
|
K. Deb, “An Introduction to Genetic Algorithms,” Sadhana, Vol. 24, No. 4-5, 1999, pp. 239-315.
doi:10.1007/BF02823145
|