Virtual examinations of alloying elements influence on alloy structural steels mechanical properties

• Autorzy: Dobrzański L. A. , Honysz R.
• Języki publikacji: EN

Abstrakty

EN

Purpose: The paper introduces analysis results of selected alloying elements influence on mechanical properties of alloy structural steels for quenching and tempering. Design/methodology/approach: Investigations were performed in virtual environment with use of materials science virtual laboratory. Virtual investigations results were verified in real investigative laboratory. Findings: Materials researches performed with use of material science virtual laboratory in range of determining the mechanical properties are consistent with the results obtained during the real research in real laboratory. Practical implications: Development of virtual tools, which are simulating the investigative equipment and simulating the research methodology, can serve as a basis for combining aspects of laboratory research, simulation, measurement, and education. Application of these tools will allow the transfer of research and teaching procedures from real laboratory to virtual environment. This will increase the number of experiments conducted in virtual environment and thus, it will increase the efficiency of such researches. Originality/value: Modelling of structural steels mechanical properties is valuable for steel designers and manufacturers, because it is associated with financial benefits, when expensive and time-consuming researches are reduced to necessary minimum.

Słowa kluczowe

EN

computational material science; materials science virtual laboratory; structural steel; virtual investigations

• Wydawca: International OCSCO World Press
• Czasopismo: Journal of Achievements in Materials and Manufacturing Engineering
• Rocznik: 2011
• Tom: Vol. 49, nr 2
• Strony: 251--258
• Opis fizyczny: Bibliogr. 20 poz., rys., tab.

Twórcy

autor

Dobrzański L. A.

• 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

autor

Honysz R.

• 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

Bibliografia

• [1] R. Honysz, Materials design methodology with use of materials science virtual laboratory, PhD thesis, Institute of Engineering Materials and Biomaterials, 2010.
• [2] L .A. Dobrzański, Descriptive physical metallurgy of iron alloys, Publishing House of the Silesian University of Technology, Gliwice, 2007 (in Polish).
• [3] L.A. Dobrzański, Metal engineering materials, WNT, Warsaw, 2004 (in Polish).
• [4] 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.
• [5] W.B. Lee, C.F. Cheung, J.G. Li, Applications of virtual manufacturing in materials processing, Journal of Materials Processing Technology 113 (2001) 416-423.
• [6] L.A. Dobrzański, R. Honysz, Analysis system of the influence of chemical compositions, the parameters of the heat and plastic treatment on mechanical properties of structural steels, Proceedings of the XXXVII Materials Science School, Cracow, 2009, 385-391.
• [7] L.A. Dobrzański, R. Honysz, Application of materials science virtual laboratory in traditional and distance learning, Proceedings of the 5th Polish-Ukrainian Young Scientists Conference, Bukowina Tatrzańska, 2007.
• [8] L.A. Dobrzański, R. Honysz, Computer modelling system of the chemical composition and treatment parameters influence on mechanical properties of structural steels, Proceedings of the XXXVIII Materials Science School, Cracow, 2010, 368-373.
• [9] L.A. Dobrzański, R. Honysz, Artificial intelligence and virtual environment application for materials design methodology, Journal of Machine Engineering 11/1-2 (2011) 102-119.
• [10] R.L. Brockenbrough, F.S. Merritt, Structural steel designer’s handbook, McGraw-Hill Professional, New York, 1999.
• [11] 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.
• [12] L.A. Dobrzański, R. Honysz, Materials science virtual laboratory-innovatory didactic tool in the teaching of material engineering performed by traditional and e-learning methods, Acta Mechanica et Automatica 2/4 (2008) 5-10.
• [13] 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.
• [14] 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.
• [15] 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.
• [16] L.A. Dobrzański, R. Honysz, The idea of material science virtual laboratory, Journal of Achievements in Materials and Manufacturing Engineering 42/1-2 (2010) 196-203.
• [17] http://www.vlab.imiib.polsl.pl.
• [18] PN-EN 10204:2006.
• [19] PN-EN 10083-1:2008.
• [20] PN-EN 10083-3:2006.