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Volumn 224, Issue 3, 2010, Pages 403-418

Optimum parameters design for friction stir spot welding using a genetically optimized neural network system

Author keywords

Friction stir spot welding; Genetic algorithm; Genetically optimized neural network system; Neural network; Optimization

Indexed keywords

ARTIFICIAL NEURAL NETWORK; EVALUATION FUNCTION; FRICTION STIR SPOT WELDING; HEURISTIC SEARCH METHODS; NEURAL NETWORK OPTIMIZATION; NEURAL NETWORK SYSTEMS; NORMALIZED FUNCTIONS; OPTIMIZATION METHOD; OPTIMUM PARAMETERS; PROCESS PARAMETERS; PROCESS VARIABLES; TENSILE FORCES; WELD STRENGTH;

EID: 77950351329     PISSN: 09544054     EISSN: None     Source Type: Journal    
DOI: 10.1243/09544054JEM1467     Document Type: Article
Times cited : (14)

References (17)
  • 1
    • 77950347429 scopus 로고    scopus 로고
    • Thomas, W. M., Nicholas, E. D., Needham, J. C., Murch, M. G., Smith, P. T., and Dawes, C. J. International Patent No. PCT/GB92/02203; GB Patent No. 9125978.8, 1991; US Patent No. 5,460,317, 1995
    • Thomas, W. M., Nicholas, E. D., Needham, J. C., Murch, M. G., Smith, P. T., and Dawes, C. J. International Patent No. PCT/GB92/02203; GB Patent No. 9125978.8, 1991; US Patent No. 5,460,317, 1995.
  • 5
    • 51649104008 scopus 로고    scopus 로고
    • Non-dimensional characterization of the friction stir/spot welding process using a simple coquette flow model, part I: Constant property Bingham plastic solution
    • Columbus, Ohio, USA, (American Institute of Physics, New York)
    • Buck, G. A. and Langerman, M. Non-dimensional characterization of the friction stir/spot welding process using a simple coquette flow model, part I: constant property Bingham plastic solution. In Proceedings of the Eighth International Conference on Numerical Methods in Industrial Forming Processes (NUMIFORM), Columbus, Ohio, USA, 2004, pp. 1283-1288 (American Institute of Physics, New York).
    • (2004) Proceedings of the Eighth International Conference on Numerical Methods in Industrial Forming Processes (NUMIFORM) , pp. 1283-1288
    • Buck, G.A.1    Langerman, M.2
  • 7
  • 9
    • 33748288183 scopus 로고    scopus 로고
    • Friction spot joining of an extruded Al-Mg-Si alloy
    • Lathabai, S., Painter, M. J., Cantin, G. M. D., and Tyagi, V. K. Friction spot joining of an extruded Al-Mg-Si alloy. Scripta Mater., 2006, 55(10), 899-902.
    • (2006) Scripta Mater , vol.55 , Issue.10 , pp. 899-902
    • Lathabai, S.1    Painter, M.J.2    Cantin, G.M.D.3    Tyagi, V.K.4
  • 10
    • 33750350191 scopus 로고    scopus 로고
    • Artificial neural network application to the friction stir welding of aluminum plates
    • Okuyucu, H., Kurt, A., and Arcaklioglu, E. Artificial neural network application to the friction stir welding of aluminum plates. Mater. Design, 2007, 28(1), 78-84.
    • (2007) Mater. Design , vol.28 , Issue.1 , pp. 78-84
    • Okuyucu, H.1    Kurt, A.2    Arcaklioglu, E.3
  • 12
    • 0031104332 scopus 로고    scopus 로고
    • A comparison of a genetic algorithm with an experimental design technique in the optimization of a production process
    • Backhouse, P. G., Fotheringham, A. F., and Allan, G. A comparison of a genetic algorithm with an experimental design technique in the optimization of a production process. J. Oper. Res. Soc., 1997, 48(3), 247-254.
    • (1997) J. Oper. Res. Soc , vol.48 , Issue.3 , pp. 247-254
    • Backhouse, P.G.1    Fotheringham, A.F.2    Allan, G.3
  • 13
    • 13844276116 scopus 로고    scopus 로고
    • Comparison between genetic algorithms and response surface methodology in GMAW welding optimization
    • Correia, D. S., Gonçalves, C. V., Cunha, S. S., and Ferraresi, V. A. Comparison between genetic algorithms and response surface methodology in GMAW welding optimization. J. Mater. Process. Technol., 2005, 160, 70-76.
    • (2005) J. Mater. Process. Technol , vol.160 , pp. 70-76
    • Correia, D.S.1    Gonçalves, C.V.2    Cunha, S.S.3    Ferraresi, V.A.4
  • 17
    • 0028602950 scopus 로고
    • On the use of non-stationary penalty functions to solve non-linear constraint optimization problems with genetic algorithms
    • Orlando, Florida, USA, 27-29 June
    • Joines, J. and Houck, C. On the use of non-stationary penalty functions to solve non-linear constraint optimization problems with genetic algorithms. In Proceedings of the First IEEE Conference on Evolutionary Computation, Orlando, Florida, USA, 27-29 June 1994, pp. 579-584.
    • (1994) Proceedings of the First IEEE Conference on Evolutionary Computation , pp. 579-584
    • Joines, J.1    Houck, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.