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Prediction of mechanical properties of cast Mg-Al-Zn alloys

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: The aim of this work was to predict the mechanical properties of the cast magnesium alloys of the MCMgAl12Zn1, MCMgAl9Zn, MCMgAl6Zn and MCMgAl3Zn type, by appliance of artificial neural networks. Design/methodology/approach: In this work there were performed investigations concerning the influence of chemical composition of the Mg-Al-Zn alloys onto the structure and mechanical properties, as well there was carried out the prediction of these properties compared to the mass elements concentration. Findings: It was also determined the type of phases, which crystallise during the alloy crystallisation process - including the well-known Mg17Al12 phase. It was also investigated which elements have the highest influence on the prediction of properties as a result of changed concentration of particular elements. Practical implications: The investigations have been performed for the reason to found application possibilities in the foundry industry, as well to make possible an optimisation of the chemical composition by prediction of mechanical properties based on changeable chemical composition of the alloy for the reason to achieve material with desirable structure and mechanical properties. Originality/value: Chemical composition influences the phases and eutectics crystallised during the solidification process of the alloys, and that fore determine also material structure and properties, as well as allow it to predict these parameters applying artificial neural networks.
Rocznik
Strony
30--36
Opis fizyczny
Bibliogr. 22 poz.
Twórcy
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 18a, 44-100 Gliwice, Poland, tomasz.tanski@polsl.pl
Bibliografia
  • [1] L. Cížek, M. Greger, L. Pawlica, L.A. Dobrzański, T. Tański, Study of selected properties of magnesium alloy AZ91 after heat treatment and forming, Journal of Materials Processing Technology 157-158 (2004) 466-471.
  • [2] L.A. Dobrzański, T. Tański, L. Cížek, Z. Brytan, Structure and properties of the magnesium casting alloys, Journal of Materials Processing Technology 192-193 (2007) 567-574.
  • [3] H. Friedrich, S. Schumann, Research for a ”New age of magnesium in the automotive industry”, Journal of Materials Processing Technology 117 (2001) 276-281.
  • [4] E.F. Horst, B.L. Mordike, Magnesium technilogy, metallurgy, design data, application, Springer-Verlag, Berlin Heidelberg, 2006.
  • [5] K.U. Kainer, Magnesium - alloys and technology, Wiley- VH, Weinheim, 2003.
  • [6] A. Kiełbus, T. Rzychoń, R. Cibis, Microstructure of AM50 die casting magnesium alloy, Journal of Achievements in Materials and Manufacturing Engineering 18 (2006) 135-138.
  • [7] S. Pietrowski, High quality casting materials, Journal of Achievements in Materials and Manufacturing Engineering 43/1 (2010) 136-144.
  • [8] J. Cai, G.C. Ma, Z. Liu, H.F. Zhang, A.M. Wang, Z.Q. Hu, Influence of rapid solidification on the mechanical properties of Mg-Zn-Ce-Ag magnesium alloy, Materials Science and Engineering A 456 (2007) 364-367.
  • [9] P. Cao, M. Qian, D.H. StJohn, Effect of manganese on grain refinement of Mg-Al based alloys, Scripta Materialia 54 (2006) 1853-1858.
  • [10] L.A. Dobrzański, T. Tański, Influence of aluminium content on behaviour of magnesium cast alloys in bentonite sand mould, Solid State Phenomena 147-149 (2009) 764-769.
  • [11] T. Tański, L.A. Dobrzański, L. Cížek, Influence of heat treatment on structure and properties of the cast magnesium alloys, Journal of Advanced Materials Research 15-17 (2007) 491-496.
  • [12] C. Yan, L. Ye, Y. W. Mai, Effect of constraint on tensile behavior of an AZ91 magnesium alloy, Materials Letters 58 (2004) 3219-3221.
  • [13] J. Zhang, Z.X. Guo, F. Pan, Z. Li, X. Luo, Effect of composition on the microstructure and mechanical properties of Mg-Zn-Al alloys, Materials Science and Engineering A 456 (2007) 43-51.
  • [14] L.A. Dobrzański, M. Krupiński, J.H. Sokolowski, Computer aided classification of flaws occurred during casting of aluminum, Journal of Materials Processing Technology 167 (2005) 456-462.
  • [15] L.A. Dobrzański, R. Maniara, J.H. Sokołowski, W. Kasprzak, M. Krupiński, Z. Brytan, Applications of the artificial intelligence methods for modeling of the ACAlSi7Cu alloy crystallization process, Journal of Materials Processing Technology 192-193 (2007) 582-587.
  • [16] L.A. Dobrzański, R. Maniara, J. Sokołowski, W. Kasprzak, M. Krupiński, Z. Brytan: Applications of the artificial intelligence methods for modelling of the ACAlSi7Cu alloy crystallization process, Journal of Materials Processing Technology 192-193 (2007) 582-587.
  • [17] D.G. Leo. Prakash, B. Prasanna, D. Regener, Computational microstructure analyzing technique for quantitative characterization of shrinkage and gas pores in pressure die cast AZ91 magnesium alloys, Computational Materials Science 32 (2005) 480-488.
  • [18] D. Szewieczek, L.A. Dobrzański, B. Krupińska, M. Krupiński, The optimisation of technological processes on basis of technological efficiency analysis, Journal of Computational Materials Science and Surface Engineering 1 (2007) 289-302.
  • [19] E. Mares, J.H. Sokołowski, Artificial intelligence-based control system for the analysis of metal casting properties, Journal of Achievements in Materials and Manufacturing Engineering 40/2 (2010) 149-154.
  • [20] W. Sitek, J. Trzaska, Numerical simulation of the alloying elements effect on steels’ properties, Journal of Achievements in Materials and Manufacturing Engineering 45/1 (2011) 71-78.
  • [21] A. Tang, B. Liu, F. Pan, J. Zhang, J. Peng, J. Wang, An improved neural network model for prediction of mechanical properties of magnesium alloys, Science in China Series E, Technological Sciences 52/1 (2009) 155-160.
  • [22] D.A. Wahab, L. Amelia, N.K. Hooi, C.H. Che Haron, C.H. Azhari, The application of artificial intelligence in optimisation of automotive components for reuse, Journal of Achievements in Materials and Manufacturing Engineering 31/2 (2008) 595-601.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BSL9-0064-0037
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