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Volumn 192-193, Issue , 2007, Pages 582-587

Applications of the artificial intelligence methods for modeling of the ACAlSi7Cu alloy crystallization process

Author keywords

Derivation analysis; Neural network; Quantities assessment of the crystallization process; Thermal modification

Indexed keywords

COOLING; CRYSTALLIZATION; NEURAL NETWORKS; NUCLEATION; THERMAL EFFECTS; ALLOYS;

EID: 34547559326     PISSN: 09240136     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jmatprotec.2007.04.022     Document Type: Article
Times cited : (26)

References (14)
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    • M.B. Djurdjevic, W.T. Kierkus, J.H. Sokolowski, Analysis of the Solidification Path of the 3XX Family of Aluminum Alloys, Technical Report Submitted to the NEMAK Canada Corporation, Windsor, October 2002.
  • 4
    • 0000750703 scopus 로고    scopus 로고
    • The effect of cooling rate on the fraction solid of the metallurgical reaction in the 319 alloy
    • MacKay R., Durdjevic M., and Sokolowski J. The effect of cooling rate on the fraction solid of the metallurgical reaction in the 319 alloy. AFS Trans. (2000)
    • (2000) AFS Trans.
    • MacKay, R.1    Durdjevic, M.2    Sokolowski, J.3
  • 5
    • 9444272821 scopus 로고    scopus 로고
    • Effect of copper and solidification conditions on the microstructure and mechanical properties of Al-Si-Mg alloys
    • Shabestari S.G., and Moemeni H. Effect of copper and solidification conditions on the microstructure and mechanical properties of Al-Si-Mg alloys. J. Mater. Process. Technol. (2004)
    • (2004) J. Mater. Process. Technol.
    • Shabestari, S.G.1    Moemeni, H.2
  • 10
    • 34547603339 scopus 로고    scopus 로고
    • Application of neural networks for designing the chemical composition of steel with the assumed hardness after cooling from the austenitising temperature
    • Gliwice
    • Trzaska J., and Dobrzański L.A. Application of neural networks for designing the chemical composition of steel with the assumed hardness after cooling from the austenitising temperature. 13th International Scientific Conference AMME 2005. Gliwice (2005)
    • (2005) 13th International Scientific Conference AMME 2005
    • Trzaska, J.1    Dobrzański, L.A.2
  • 12
    • 0034921649 scopus 로고    scopus 로고
    • Modelling the correlation between processing parameters and properties in titanium alloys using artificial neural network
    • Malinov S., McKeown J.J., and Sha W. Modelling the correlation between processing parameters and properties in titanium alloys using artificial neural network. Comput. Mater. Sci. vol. 21 (2001)
    • (2001) Comput. Mater. Sci. , vol.21
    • Malinov, S.1    McKeown, J.J.2    Sha, W.3
  • 13
    • 34547611382 scopus 로고    scopus 로고
    • W.T. Kierkus, M.B. Durdjevic, J.H. Sokolowski, Analysis of the Solidification of the 3XX Family of Aluminium Alloys, 2002, data not published.
  • 14
    • 34547607633 scopus 로고    scopus 로고
    • http://www.uwindsor.ca/umsa


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.