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Informative technologies in the material products designing

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: The purpose of materials products designing is to optimize their functional properties in terms of technological, economic and ecological aspects. Design/methodology/approach: Materials science is an example of a field, in which informative technologies used to understand and anticipate the construction of materials and their properties has a significant success. Findings: Innovation and development of new informative technologies and the widespread use of modern materials will be essential for promoting economic development in the near future by application of entirely new, interdisciplinary field of science: computational materials science. Practical implications: The use of informative technologies allows exploring in a short time and at low expense, many solutions for the design of the mechanical properties of materials and their simulation beyond the standardized range. Originality/value: The most important benefit of material designing is the ability of suitable selection of material (or its manufacturing) for various applications with use of informative technologies.
Rocznik
Strony
37--44
Opis fizyczny
Bibliogr. 40 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, rafal.honysz@polsl.pl
Bibliografia
  • [1] L.A. Dobrzański, Engineering Materials and materials design. Fundamentals of materials science and physical metallurgy, WNT, Warsaw-Gliwice, 2006 (in Polish).
  • [2] L.A. Dobrzański. Fundamentals of material design methodology, Silesian University of Technology Publishing, Gliwice, 2009 (in Polish).
  • [3] L.A. Dobrzański, Introduction to material science, Silesian University of Technology Publishing, Gliwice, 2007 (in Polish).
  • [4] J. Adamczyk, Theoretical metallurgy Part.1, Structure of metals and alloys, Silesian University of Technology Publishing, Gliwice, 1997 (in Polish).
  • [5] M.W. Grabski, The essence of engineering materials, Warsaw University of Technology Publishing, Warsaw, 2006 (in Polish).
  • [6] M.F. Ashby, Materials selection in engineering design, WNT, Warsaw, 1998.
  • [7] L.A. Dobrzański, R. Honysz, Artificial intelligence and virtual environment application for materials design methodology, Archives of Materials Science and Engineering 45/2 (2010) 69-94.
  • [8] N. Roberts (Ed.), Introduction to computer simulation: a system dynamics modelling approach, Prentice Hall PTR, 1996.
  • [9] S. Robinson, Simulation: the practice of model development and use, John Wiley & Sons, Chichester, 2004.
  • [10] L.A. Dobrzański, R. Honysz, Application of artificial neural networks in modelling of normalised structural steels mechanical properties, Journal of Achievements in Materials and Manufacturing Engineering 32/1 (2009) 37-45.
  • [11] L.A. Dobrzański, R. Honysz, Application of artificial neural networks in modelling of quenched and tempered structural steels mechanical properties, Journal of Achievements in Materials and Manufacturing Engineering 40/1 (2010) 50-57.
  • [12] T. Masters, Neural networks in practice, PWN, Warsaw, 1996.
  • [13] D. Rutkowska, M. Pilinski, L. Rutkowski, Neural networks, genetic algorithms and fuzzy systems, PWN, Warsaw, 1996 (in Polish).
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  • [15] R. Tadeusiewicz, Elementary introduction to neural network techniques with examples programs, Academic Publishing House PLJ, Warsaw, 1998 (in Polish).
  • [16] B.D. Paul, Information Systems Engineering, WNT, Warsaw, 2004.
  • [17] I. Sommerville, Software Engineering, WNT, Warsaw, 2003.
  • [18] S. Szejko, Methods for software development, Mikom, Warsaw, 2002.
  • [19] L.A. Dobrzański, R. Honysz, Computer modelling system of the chemical composition and treatment parameters influence on mechanical properties of structural steels, Journal of Achievements in Materials and Manufacturing Engineering 35/2 (2009) 138-145.
  • [20] N. Wiener, Cybernetics, which is control and communication in the animal and the machine, PWN, Warsaw, 1971.
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  • [22] X. Almán Rodlán (Ed.), C++ visual programming, Multimedia Ediciones, Warsaw, 2000.
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  • [24] B. Siemieniecki, The computer in education, Fundamental problems of in information technology, Adam Marszałek Publishing, Toruń, 2002.
  • [25] L.A. Dobrzański, R. Honysz, The significance of multimedia didactic aids in the informative society, Archives of Materials Science and Engineering 32/2 (2008) 117-120.
  • [26] D. Barraya, P. Burnett, G. Boulton-Levis, J. Campbell, Classroom learning environments and students' approaches to learning, Learning Environments Research 2/2 (1999) 137-156.
  • [27] L.A. Dobrzański, R. Honysz, Z. Brytan, Application of interactive course management system in distance learning of material science, Journal of Achievements in Materials and Manufacturing Engineering 17 (2006) 429-432.
  • [28] R. Honysz, Materials design methodology with use of materials science virtual laboratory, PhD thesis, Institute of Engineering Materials and Biomaterials, Silesian University of Technology 2010 (in Polish).
  • [29] L.A. Dobrzański, M. Kowalski, J. Madejski, Methodology of the mechanical properties prediction for the metallurgical products from the engineering steels using the artificial intelligence methods, Journal of Materials Processing Technology 164-165 (2005) 1500-1509.
  • [30] L.A. Dobrzański, R. Honysz, Building methodology of virtual laboratory posts for materials science virtual laboratory purposes, Archives of Materials Science and Engineering 28/1 (2007) 695-700.
  • [31] J. Gutenbaum Mathematical systems’ modelling, Exit, Gliwice 2003 (in Polish).
  • [32] K. Stec, Computer simulation as an aid tool in the theoretical electrical engineering laboratory, Computer Application in Electrical Engineering, Poznań-Kiekrz, 1996, 398-399.
  • [33] W.B. Lee, C.F. Cheung, J.G. Li, Applications of virtual manufacturing in materials processing, Journal of Materials Processing Technology 113, 416-423, 2001.
  • [34] http://www.issb.co.uk/ - Iron and Steel Statistics Bureau.
  • [35] http://www.steel.keytometals.com/ - The world's most comprehensive knowledge base of steel.
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  • [37] http://www.neuralnets.eu/ - Polish vortal of artificial intelligence.
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  • [40] http://www.vlab.imiib.polsl.pl/ - Materials Science Virtual Laboratory of Institute of Engineering Materials And Biomaterials.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BSL8-0050-0005
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