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Volumn 30, Issue 3-4 SPEC. ISS., 2004, Pages 251-259

Application of neural networks for the prediction of continuous cooling transformation diagrams

Author keywords

CCT diagram; Chemical composition; Modelling; Neural network; Steel

Indexed keywords

AUSTENITE; COOLING; HARDNESS; NEURAL NETWORKS; PHASE TRANSITIONS; STEEL;

EID: 3142668466     PISSN: 09270256     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.commatsci.2004.02.011     Document Type: Conference Paper
Times cited : (35)

References (9)
  • 2
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    • Application of neural networks for prediction of critical values of temperatures and time of the supercooled austenite transformations
    • Dublin, Ireland
    • L.A. Dobrzański, J. Trzaska, Application of neural networks for prediction of critical values of temperatures and time of the supercooled austenite transformations, International Conference on Advanced Materials and Processing Technologies, Dublin, Ireland, 2003, pp. 607-610.
    • (2003) International Conference on Advanced Materials and Processing Technologies , pp. 607-610
    • Dobrzański, L.A.1    Trzaska, J.2
  • 3
    • 0242354055 scopus 로고    scopus 로고
    • Application of neural networks for prediction of hardness and volume fractions of structural components constructional steels cooled from the austenitising temperature
    • Dobrzański L.A., Trzaska J. Application of neural networks for prediction of hardness and volume fractions of structural components constructional steels cooled from the austenitising temperature. Materials Science Forum. 437-438:2003;359-362.
    • (2003) Materials Science Forum , vol.437-438 , pp. 359-362
    • Dobrzański, L.A.1    Trzaska, J.2
  • 4
    • 24244440158 scopus 로고    scopus 로고
    • Effects of alloying elements concentration and cooling rate on continuous cooling transformations predicted by neural network
    • COBEM, São Paulo (on CD)
    • L.A. Dobrzański, J. Trzaska, Effects of alloying elements concentration and cooling rate on continuous cooling transformations predicted by neural network, 17th International Congress of Mechanical Engineering, COBEM, São Paulo, 2003 (on CD).
    • (2003) 17th International Congress of Mechanical Engineering
    • Dobrzański, L.A.1    Trzaska, J.2
  • 5
    • 0033309515 scopus 로고    scopus 로고
    • Neural networks in materials science
    • Bhadeshia H.K.D.H. Neural networks in materials science. ISIJ International. 39(10):1999;966.
    • (1999) ISIJ International , vol.39 , Issue.10 , pp. 966
    • Bhadeshia, H.K.D.H.1
  • 7
    • 0031073832 scopus 로고    scopus 로고
    • Prediction of the continuous cooling transformation diagram of some selected steels using artificial neural networks
    • Vermulen W.G., Van der Zwaag S., Morris P., Weijer T. Prediction of the continuous cooling transformation diagram of some selected steels using artificial neural networks. Steel Research. 68:1997;72.
    • (1997) Steel Research , vol.68 , pp. 72
    • Vermulen, W.G.1    Van Der Zwaag, S.2    Morris, P.3    Weijer, T.4
  • 8
    • 0033345088 scopus 로고    scopus 로고
    • Effects of carbon concentration and cooling rate on continuous cooling transformations predicted by artificial neural network
    • Wang J., Van der Wolk P.J., Van der Zwaag S. Effects of carbon concentration and cooling rate on continuous cooling transformations predicted by artificial neural network. ISIJ International. 39(10):1999;1038.
    • (1999) ISIJ International , vol.39 , Issue.10 , pp. 1038
    • Wang, J.1    Van Der Wolk, P.J.2    Van Der Zwaag, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.