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Volumn 24, Issue 2, 2009, Pages 209-218

Soft computing techniques in stainless steel welding

Author keywords

A TIG welding; Artificial neural networks; Bayesian neural network; Classification; Ferrite number; Fuzzy logic; Genetic algorithm; Microstructure; Nonlinear system; Online monitoring and control; Regression; Soft computing; Solidification mode

Indexed keywords

BACKPROPAGATION; BAYESIAN NETWORKS; CRYSTALLIZATION; ELECTRIC WELDING; FERRITE; FUZZY LOGIC; FUZZY NEURAL NETWORKS; FUZZY SETS; GAS WELDING; GENETIC ENGINEERING; INERT GAS WELDING; INTELLIGENT COMPUTING; MECHANICAL PROPERTIES; MICROSTRUCTURE; NONLINEAR SYSTEMS; PARTIAL DISCHARGES; PROCESS CONTROL; REAL TIME CONTROL; SOFT COMPUTING; SOLIDIFICATION; STEEL METALLURGY; STRESSES; WELDS;

EID: 61449218985     PISSN: 10426914     EISSN: 15322475     Source Type: Journal    
DOI: 10.1080/10426910802612338     Document Type: Conference Paper
Times cited : (25)

References (49)
  • 1
    • 34248666540 scopus 로고    scopus 로고
    • Zadeh, L.A. Fuzzy sets. Information and Control 1965, 8, 338-353.
    • Zadeh, L.A. Fuzzy sets. Information and Control 1965, 8, 338-353.
  • 2
    • 0012582658 scopus 로고    scopus 로고
    • Industrial applications of soft computing: A review
    • Dote, Y.; Ovaska, S.J. Industrial applications of soft computing: a review. Proceedings of the IEEE 2001, 89 (9), 1243-1265.
    • (2001) Proceedings of the IEEE , vol.89 , Issue.9 , pp. 1243-1265
    • Dote, Y.1    Ovaska, S.J.2
  • 3
    • 0015558134 scopus 로고
    • Outline of a new approach to the analysis of complex systems and decision processes
    • Zadeh, L.A. Outline of a new approach to the analysis of complex systems and decision processes. IEEE Transactions on Systems, Man and Cybernetics 1973, SMC-3, 28-44.
    • (1973) IEEE Transactions on Systems, Man and Cybernetics , vol.SMC-3 , pp. 28-44
    • Zadeh, L.A.1
  • 5
    • 0000414908 scopus 로고
    • Applications of neural networks in manufacturing: A state of the art survey
    • Zhang, H.C.; Huang, S.H. Applications of neural networks in manufacturing: A state of the art survey. International Journal of Production Research 1995, 33 (3), 750-728.
    • (1995) International Journal of Production Research , vol.33 , Issue.3 , pp. 750-728
    • Zhang, H.C.1    Huang, S.H.2
  • 6
  • 8
    • 0028666758 scopus 로고
    • Genetic Algorithms: A powerful tool for large scale nonlinear optimization problems
    • Gallagher, K.; Sambridge, M. Genetic Algorithms: A powerful tool for large scale nonlinear optimization problems. Computers and Geosciences 1994, 20 (7), 1229-1236.
    • (1994) Computers and Geosciences , vol.20 , Issue.7 , pp. 1229-1236
    • Gallagher, K.1    Sambridge, M.2
  • 9
    • 0033312374 scopus 로고    scopus 로고
    • An introduction to genetic algorithms
    • Deb, K. An introduction to genetic algorithms. Sadhana 1999, 24 (4-5), 293-315.
    • (1999) Sadhana , vol.24 , Issue.4-5 , pp. 293-315
    • Deb, K.1
  • 10
    • 4444250325 scopus 로고    scopus 로고
    • Genetic algorithms in materials design and processing
    • Chakraborti, N. Genetic algorithms in materials design and processing. International Material Reviews 2004, 49 (3-4), 246-260.
    • (2004) International Material Reviews , vol.49 , Issue.3-4 , pp. 246-260
    • Chakraborti, N.1
  • 12
    • 61449213800 scopus 로고    scopus 로고
    • Hong, L.; Kee, L.F.M. Yu, J.W.J.; Mohanamurthy, P.H.; Devanathan, R.; Xiaoqi, C; Chan S.P. Vision based GTA weld pool sensing and control using neurofuzzy logic, Singapore Institute of Manufacturing Technology, Technical Report, (AT/00/011/AMO), 2000; 1-7.
    • Hong, L.; Kee, L.F.M. Yu, J.W.J.; Mohanamurthy, P.H.; Devanathan, R.; Xiaoqi, C; Chan S.P. Vision based GTA weld pool sensing and control using neurofuzzy logic, Singapore Institute of Manufacturing Technology, Technical Report, (AT/00/011/AMO), 2000; 1-7.
  • 13
    • 0035248571 scopus 로고    scopus 로고
    • A fuzzy logic system for process monitoring and quality evaluation in GMAW
    • Wu, C.S.; Polte, T.; Rehfeldt, D. A fuzzy logic system for process monitoring and quality evaluation in GMAW. Welding Journal 2001, 80 (2), 33s-38s.
    • (2001) Welding Journal , vol.80 , Issue.2
    • Wu, C.S.1    Polte, T.2    Rehfeldt, D.3
  • 14
    • 0038324273 scopus 로고    scopus 로고
    • Neuro fuzzy control of weld penetration in gas tungsten arc welding
    • Gao, J.; Wu, C. Neuro fuzzy control of weld penetration in gas tungsten arc welding. Science and Technology of Welding and Joining 2003, 8 (2), 143-148.
    • (2003) Science and Technology of Welding and Joining , vol.8 , Issue.2 , pp. 143-148
    • Gao, J.1    Wu, C.2
  • 15
    • 0031119164 scopus 로고    scopus 로고
    • Neurofuzzy model based weld fusion state estimation
    • Kovacevic, R.; Zhang, Y.M. Neurofuzzy model based weld fusion state estimation. IEEE Control Systems 1997, 17 (2), 30-42.
    • (1997) IEEE Control Systems , vol.17 , Issue.2 , pp. 30-42
    • Kovacevic, R.1    Zhang, Y.M.2
  • 16
    • 0033717901 scopus 로고    scopus 로고
    • Intelligent methodology for sensing, modeling and control of oulsed GTAW: Part2 - Butt joint welding
    • Chen, S.B.; Zhao, D.B.; Wu, L.; Lou, Y.J. Intelligent methodology for sensing, modeling and control of oulsed GTAW: Part2 - Butt joint welding. Welding Journal 2000, 79 (6), 164s-174s.
    • (2000) Welding Journal , vol.79 , Issue.6
    • Chen, S.B.1    Zhao, D.B.2    Wu, L.3    Lou, Y.J.4
  • 17
    • 0035518179 scopus 로고    scopus 로고
    • Intelligent control of the shape of the weld pool in pulsed GTAW with filler metal
    • Zhao, D.B.; Chen, S.B.; Wu, L.; Dai, M.; Chen, Q. Intelligent control of the shape of the weld pool in pulsed GTAW with filler metal. Welding Journal 2001, 80 (11), 253s-260s.
    • (2001) Welding Journal , vol.80 , Issue.11
    • Zhao, D.B.1    Chen, S.B.2    Wu, L.3    Dai, M.4    Chen, Q.5
  • 18
    • 39049146404 scopus 로고    scopus 로고
    • Prediction of residual stress for dissimilar metals welding at nuclear power plants using fuzzy neural network models
    • Na, M.G.; Kim, J.W.; Lim, D.H. Prediction of residual stress for dissimilar metals welding at nuclear power plants using fuzzy neural network models. Nuclear Engineering and Technology 2007, 39 (4), 337-348.
    • (2007) Nuclear Engineering and Technology , vol.39 , Issue.4 , pp. 337-348
    • Na, M.G.1    Kim, J.W.2    Lim, D.H.3
  • 19
    • 0033311466 scopus 로고    scopus 로고
    • Measurement of molten pool shape and penetration control applying neural network in TIG welding of thin steel plates
    • Suga, Y.; Shimamura, T.; Usui, S.; Aoki, K. Measurement of molten pool shape and penetration control applying neural network in TIG welding of thin steel plates. ISIJ International 1999, 39 (10), 1075-1080.
    • (1999) ISIJ International , vol.39 , Issue.10 , pp. 1075-1080
    • Suga, Y.1    Shimamura, T.2    Usui, S.3    Aoki, K.4
  • 20
    • 12144270031 scopus 로고    scopus 로고
    • Intelligent control of pulsed GTAW with filler metal
    • Zhang, G.J.; Chen, S.B.; Wu, L. Intelligent control of pulsed GTAW with filler metal. Welding Journal 2005, 84 (1), 9s-16s.
    • (2005) Welding Journal , vol.84 , Issue.1
    • Zhang, G.J.1    Chen, S.B.2    Wu, L.3
  • 21
    • 0033309519 scopus 로고    scopus 로고
    • A neural network approach to the prediction of submerged arc weld chemistry
    • Thompson, R.C.; Perez-Perez, F.J.; Warters, A.D.; Thewlis, G. A neural network approach to the prediction of submerged arc weld chemistry. ISIJ International 1999, 39 (10), 1096-1105.
    • (1999) ISIJ International , vol.39 , Issue.10 , pp. 1096-1105
    • Thompson, R.C.1    Perez-Perez, F.J.2    Warters, A.D.3    Thewlis, G.4
  • 22
    • 0034345108 scopus 로고    scopus 로고
    • Estimation of mechanical properties of ferritic steel welds Part 1. Yield and tensile strength
    • Lalam, S.H.; Bhadeshia, H.K.D.H.; Mackay, D.J.C. Estimation of mechanical properties of ferritic steel welds Part 1. Yield and tensile strength. Science and Technology of Welding 2000, 5 (3), 135-147.
    • (2000) Science and Technology of Welding , vol.5 , Issue.3 , pp. 135-147
    • Lalam, S.H.1    Bhadeshia, H.K.D.H.2    Mackay, D.J.C.3
  • 23
    • 13444279168 scopus 로고    scopus 로고
    • The application of artificial neural networks to weld induced deformation in ship plate
    • Lightfoot, M.P.; Bruce, G.J.; McPherson, N.A.; Woods, K. The application of artificial neural networks to weld induced deformation in ship plate. Welding Journal 2005, 84 (2), 23s-30s.
    • (2005) Welding Journal , vol.84 , Issue.2
    • Lightfoot, M.P.1    Bruce, G.J.2    McPherson, N.A.3    Woods, K.4
  • 24
    • 0035392642 scopus 로고    scopus 로고
    • Optimisation of arc welding process parameters using a genetic algorithm
    • Kim, D.; Rhee, S. Optimisation of arc welding process parameters using a genetic algorithm. Welding Journal 2001, 80 (7), 184s-189s.
    • (2001) Welding Journal , vol.80 , Issue.7
    • Kim, D.1    Rhee, S.2
  • 25
    • 0345446597 scopus 로고    scopus 로고
    • Optimization of GMA welding process using the dual response approach
    • Kim, D.; Rhee, S. Optimization of GMA welding process using the dual response approach. International Journal of Production Research 2003, 41 (18), 4505-4515.
    • (2003) International Journal of Production Research , vol.41 , Issue.18 , pp. 4505-4515
    • Kim, D.1    Rhee, S.2
  • 26
    • 0037053025 scopus 로고    scopus 로고
    • Modelling and optimisation of GMA welding process by genetic algorithm and response surface methodology
    • Kim, D.; Rhee, S.; Park, H. Modelling and optimisation of GMA welding process by genetic algorithm and response surface methodology. International Journal of Production Research 2002, 40(7), 1699-1711.
    • (2002) International Journal of Production Research , vol.40 , Issue.7 , pp. 1699-1711
    • Kim, D.1    Rhee, S.2    Park, H.3
  • 29
    • 25144488096 scopus 로고    scopus 로고
    • Mishra, S.; Debroy, T. A heat transfer and fluid flow model to obtain a specific weld geometry through multiple paths. Journal of Applied Physics 2005, 98, 044902(1)-044902(10).
    • Mishra, S.; Debroy, T. A heat transfer and fluid flow model to obtain a specific weld geometry through multiple paths. Journal of Applied Physics 2005, 98, 044902(1)-044902(10).
  • 30
    • 13944249519 scopus 로고    scopus 로고
    • Optimization of the Jhonson-Mehl-Avarami equation parameters for α-ferrite to γ-austenite transformation in steel welds using a genetic algorithm
    • A1, 15-22
    • Kumar, A.; Mishra, S.; Elmer, J.W.; Debroy, T. Optimization of the Jhonson-Mehl-Avarami equation parameters for α-ferrite to γ-austenite transformation in steel welds using a genetic algorithm. Metallurgical and Material Transactions, A 2005, 36 A(1), 15-22.
    • (2005) Metallurgical and Material Transactions, A , vol.36
    • Kumar, A.1    Mishra, S.2    Elmer, J.W.3    Debroy, T.4
  • 31
    • 27144432403 scopus 로고    scopus 로고
    • Kumar, A.; DebRoy, T. Tailoring complex weld geometry through reliable heat transfer and fluid flow calculations and a genetic algorithm. Metallurgical and Materials Transactions, A 2005, 36 A(10), 2725-2735.
    • Kumar, A.; DebRoy, T. Tailoring complex weld geometry through reliable heat transfer and fluid flow calculations and a genetic algorithm. Metallurgical and Materials Transactions, A 2005, 36 A(10), 2725-2735.
  • 32
    • 7044272608 scopus 로고    scopus 로고
    • Optimization of shielded metal arc weld composition for Charpy toughness
    • Murugananth, M.; Babu, S.S.; David, S.A. Optimization of shielded metal arc weld composition for Charpy toughness. Welding Journal 2004, 83 (10), 267s-276s.
    • (2004) Welding Journal , vol.83 , Issue.10
    • Murugananth, M.1    Babu, S.S.2    David, S.A.3
  • 33
    • 34547343569 scopus 로고    scopus 로고
    • Prediction of ferrite number in stainless steel welds using Bayesian neural network model
    • Vasudevan, M.; Bhaduri, A.K.; Raj, B. Prediction of ferrite number in stainless steel welds using Bayesian neural network model. Welding in the World 2007, 51 (7/8), 15-28.
    • (2007) Welding in the World , vol.51 , Issue.7-8 , pp. 15-28
    • Vasudevan, M.1    Bhaduri, A.K.2    Raj, B.3
  • 35
    • 61449215025 scopus 로고    scopus 로고
    • Computational model for classification of solidification modes in austenitic stainless steel welds
    • Cerjack, H, Bhadeshia, H.K.D.H, Kozeschnik, E, Eds, Graz University of Technology: Graz
    • Vasudevan, M.; Srinivasan, G.; Bhaduri, A.K.; Raj, B. Computational model for classification of solidification modes in austenitic stainless steel welds. In Mathematical Modeling of Weld Phenomena 8; Cerjack, H.; Bhadeshia, H.K.D.H.; Kozeschnik, E., Eds.; Graz University of Technology: Graz, 2007; 121-138.
    • (2007) Mathematical Modeling of Weld Phenomena 8 , pp. 121-138
    • Vasudevan, M.1    Srinivasan, G.2    Bhaduri, A.K.3    Raj, B.4
  • 36
    • 34548852191 scopus 로고    scopus 로고
    • Artificial neural network modelling of solidification mode in austenitic stainless steel welds
    • Vasudevan, M.; Srinivasan, G.; Bhaduri, A.K.; Raj, B.; Prasad Rao, K. Artificial neural network modelling of solidification mode in austenitic stainless steel welds. Materials Science and Technology 2007, 23 (4), 451-459.
    • (2007) Materials Science and Technology , vol.23 , Issue.4 , pp. 451-459
    • Vasudevan, M.1    Srinivasan, G.2    Bhaduri, A.K.3    Raj, B.4    Prasad Rao, K.5
  • 37
    • 0037275489 scopus 로고    scopus 로고
    • Improved ferrite number prediction model that accounts for cooling rate effects - Part 1: Model development
    • Vitek, J.M.; David, S.A.; Hinman, C.R. Improved ferrite number prediction model that accounts for cooling rate effects - Part 1: model development. Welding Journal 2003, 82 (1), 10s-17s.
    • (2003) Welding Journal , vol.82 , Issue.1
    • Vitek, J.M.1    David, S.A.2    Hinman, C.R.3
  • 38
    • 0003162926 scopus 로고    scopus 로고
    • Application of Bayesian neural network for modeling and prediction of ferrite number in austenitic stainless steel welds
    • Cerjak, H, Bhadeshia, H.K.D.H, Eds, The Institute of Materials
    • Vasudevan, M.; Murugananth, M.; Bhaduri, A.K. Application of Bayesian neural network for modeling and prediction of ferrite number in austenitic stainless steel welds. In Mathematical Modeling of Weld Phenomena - VI, Materials Modeling Series; Cerjak, H., Bhadeshia, H.K.D.H., Eds.; The Institute of Materials: 2002; 1079-1099.
    • (2002) Mathematical Modeling of Weld Phenomena - VI, Materials Modeling Series , pp. 1079-1099
    • Vasudevan, M.1    Murugananth, M.2    Bhaduri, A.K.3
  • 39
    • 0141532036 scopus 로고    scopus 로고
    • Delta ferrite prediction in stainless steel welds using neural network analysis and comparison with other prediction methods
    • Vasudevan, M.; Bhaduri, A.K.; Raj, B.; Prasad Rao, K. Delta ferrite prediction in stainless steel welds using neural network analysis and comparison with other prediction methods. Journal of Materials Processing Technology 2003, 142, 20-28.
    • (2003) Journal of Materials Processing Technology , vol.142 , pp. 20-28
    • Vasudevan, M.1    Bhaduri, A.K.2    Raj, B.3    Prasad Rao, K.4
  • 41
    • 0002704818 scopus 로고
    • A practical Bayesian framework for backpropagation networks
    • MacKay, D.J.C. A practical Bayesian framework for backpropagation networks. Neural Computation 1992, 4 (3), 448-472.
    • (1992) Neural Computation , vol.4 , Issue.3 , pp. 448-472
    • MacKay, D.J.C.1
  • 44
    • 33644495836 scopus 로고    scopus 로고
    • Development of neural network models for predicting solidification mode, weld bead geometry and sensitization in Austenitic stainless steels
    • Vasudevan, M.; Raj, B.; Prasad Rao, K. Development of neural network models for predicting solidification mode, weld bead geometry and sensitization in Austenitic stainless steels. International Journal of Nuclear Energy Science and Technology 2005, 1 (2&3), 233-245.
    • (2005) International Journal of Nuclear Energy Science and Technology , vol.1 , Issue.2-3 , pp. 233-245
    • Vasudevan, M.1    Raj, B.2    Prasad Rao, K.3
  • 48
    • 34249860033 scopus 로고    scopus 로고
    • Genetic algorithm based computational model for optimising the process parameters in A-TIG welding of 304LN and 316LN stainless steels
    • Vasudevan, M.; Bhaduri, A.K.; Raj, B.; Prasad Rao, K. Genetic algorithm based computational model for optimising the process parameters in A-TIG welding of 304LN and 316LN stainless steels. Materials and Manufacturing Processes 2007, 22 (5), 641-649.
    • (2007) Materials and Manufacturing Processes , vol.22 , Issue.5 , pp. 641-649
    • Vasudevan, M.1    Bhaduri, A.K.2    Raj, B.3    Prasad Rao, K.4
  • 49
    • 77950153335 scopus 로고    scopus 로고
    • Genetic algorithm for optimising the A-TIG welding of austenitic stainless steels
    • Cerjack, H, Bhadeshia, H.K.D.H, Kozeschnik, E, Eds, Graz University of Technology: Graz
    • Vasudevan, M.; Bahduri, A.K.; Raj, B. Genetic algorithm for optimising the A-TIG welding of austenitic stainless steels. In Mathematical Modeling of Weld Phenomena 8. Cerjack, H., Bhadeshia, H.K.D.H., Kozeschnik, E., Eds.; Graz University of Technology: Graz, 2007; 25-37.
    • (2007) Mathematical Modeling of Weld Phenomena 8 , pp. 25-37
    • Vasudevan, M.1    Bahduri, A.K.2    Raj, B.3


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