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Tytuł artykułu
Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Konferencja
12th International Scientific Conference CAM3S'2006, 27-30th November 2006, Gliwice-Zakopane
Języki publikacji
Abstrakty
Purpose: The paper presents some results of the research connected with the development of new approach based on the neural network to predict the chemical composition and cooling rate to the mechanical properties of Al-Si-Cu cast alloys. The independent variables in the model are chemical composition of Al-Si-Cu cast alloys and cooling rate. The dependent parameters are hardness, microhardness, yield strength and apparent elastic limit. Design/methodology/approach: The experimental alloy used for training of neural network was prepared at the University of Windsor (Canada) in the Light Metals Casting Laboratory, in a 10 kg capacity ceramic crucible. Thermal analysis tests were conducted using the UMSA Technology Platform. Compression tests were conducted at room temperature using a Zwick universal testing machine. Prior to testing an extensometer was used to minimize frame bending strains. Compression specimens were tested corresponding to each of the three cooling rate. Rockwell F-scale hardness tests were conducted at room temperature using a Zwick HR hardness testing machine. Vickers microhardness tests were conducted using a DUH 202 microhardness testing machine. Findings: The results of this investigation show that there is a good correlation between experimental and predicted dates and the neural network has a great potential in mechanical behavior modeling of Al-Si-Cu castings. Practical implications: The worked out model can be applied in computer system of Al-Si-Cu casting alloys selection and designing for Al-Si-Cu casting parts. Originality/value: Original value of the work is applied the artificial intelligence as a tools for designing the required mechanical properties of Al-Si-Cu castings.
Wydawca
Rocznik
Tom
Strony
347--350
Opis fizyczny
Bibliogr. 16 poz., rys., tab.
Twórcy
autor
autor
autor
autor
- Division of Materials Processing Technology, Management and Computer Techniques in Materials Science, Institute of Engineering Materials and Biomaterials, Silesian University of Technology, ul. Konarskiego 18 a, 44-100 Gliwice, Poland, leszek.dobrzanski@polsl.pl
Bibliografia
- [1] J. G. Kaufman, E.L. Rooy, Aluminium Alloy castings, AFS, Ohio, 2005.
- [2] 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.
- [3] M.Boileau, J.W. Zindel and J.E. Allison, The effect of solidification time on the mechanical properties in a cast A356-T6 aluminum alloy, Society of Automotive Engineers Inc, 1997.
- [4] J. Trzaska, L.A. Dobrzański Modeling of transformations occurring during quenching in engineering steels, 3rd International Scientific Conference MMME 2005, Gliwice 2005, 323-328.
- [5] L.A. Dobrzański, R. Maniara, S.J. Sokolowski, Application of Artifical neural networks for calculation of the solidus temperature of hypoeutectic Al-Si-Cu alloys, Archives of Foundry, 22 (2006) 606-613.
- [6] W. Sitek, J. Trzaska, L.A. Dobrzanski: An Artificial intelligence approach in designing ne materials, JAMME, 17 (2006) 277-280.
- [7] J. Trzaska, W. Sitek, L.A. Dobrzański: Selection metod of steel grade with required hardenability, JAMME 17 (2006) 289-292.
- [8] L.A. Dobrzański, M. Krupiński, J.H. Sokolowski, P. Zarychta: Methodology of analysis of casing defects, JAMME 18 (2006) 267-270.
- [9] S. Malinov, J.J. McKeown, W. Sha, Modelling the Correlation between Processing Parameters and Properties in Titanium Alloys using Artificial Neural Network, Computational Materials Science 21 (2001) 63-70.
- [10] J. Kusiak, R. Kuziak, Modelling of microstructure and mechanical properties of steel using the artificial neural network, Journal of Materials Processing Technology 127 (2002) 115-121.
- [11] W.T. Kierkus, M.B. Durdjevic, J.H. Sokolowski, Analysis of the Solidification of the 3XX Family of Aluminium Alloys, Data not published, 2002.
- [12] R. MacKay, M. Durdjevic, J. Sokolowski, The effect of cooling rate on the fraction solid of the metallurgical reaction in the 319 alloy, AFS Transaction, 109 (2000) 443-450.
- [13] S.G. Shabestari, H. Moemeni, Effect of copper and solidification conditions on the microstructure and mechanical properties of Al-Si-Mg alloys, Journal of Materials Processing Technology, 153-154 (2004) 193-198.
- [14] L. Backerud, E. Król, J. Tamminen: Solidification characteristics of aluminum alloys, 1, Universitetsforlaget, Oslo 1986.
- [15] L. Backerud, G. Chai J. Tamminen: Solidification characteristics of aluminum alloys, 2. AFS, Ohio, 1992.
- [16] L. Backerud, G. Chai: Solidification characteristics of aluminum alloys, 3, AFS 1992.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BOS5-0018-0076