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Abstrakty
The results of assessment of high strength dual-phase steel structure and mechanical properties were considered. Method of calculation tensile strength and yield strength of dual phase steels DP using the artificial neural networks in modelling relationship of chemical composition and properties of dual phase steels DP was proposed. The material database describing the properties of the DP steels was created on the base of literature sources. The artificial neural network model was designed in order to estimate the influence of alloying elements, heat treatment conditions, transition temperature and microstructural features on mechanical properties of steels. The ferritic-martensitic microstructure transformation influence on steel tensile strength was considering.
Czasopismo
Rocznik
Tom
Strony
278--286
Opis fizyczny
Bibliogr. 16 poz., rys., tab., wykr.
Twórcy
autor
- Institute of Materials Science and Engineering, West Pomeranian University of Technology Szczecin, Al. Piastow 19 St., 70-310 Szczecin, Poland
autor
- Institute of Materials Science and Engineering, West Pomeranian University of Technology Szczecin, Al. Piastow 19 St., 70-310 Szczecin, Poland
Bibliografia
- [1] A.K. Lis, B. Gajda, Modelling of the DP and TRIP microstructure in the CMnAlSi automotive steel, Journal of Achievements in Materials and Manufacturing Engineering 15 (1–2) (2006).
- [2] A.D. Lados, Integrative materials design: achievements and opportunities, JOM Journal of the Minerals, Metals and Materials Society 61 (2) (2009).
- [3] V. Uthaisangsuk, U. Prahl, W. Bleck, Characterisation of formability behaviour of multiphase steels by micromechanical modelling, International Journal of Fracture 157 (2009) 55–69.
- [4] G. Weber, S. Göklü, Resistance spot welding of uncoated and zinc coated Advanced High-Strength Steels (AHSS) – weldability and process reliability-influence of welding parameters, Welding in the World 50 (3–4) (2006) 3–12.
- [5] P. Baryliszyn, K. Janus, T. Noack, J. Nowacki, Neuartiges Konzept zur Schweißparameterregelung beim widerstandspunktschweißen (Novel Concept For Welding Parameters Control The Resistance Spot Welding), Przegląd Spawalnictwa (Welding Technology Review) 11 (2011) s 21–28.
- [6] Rautaruukki Corporation, Welding of dual phase steels, Syllabus Ruukki, 2012.
- [7] S. Krajewski, J. Nowacki, Właściwości połączeń spawanych ze stali dwufazowych – DP(Properties of dual-phase (DP) steels arc welded joints), Przegląd Spawalnictwa (Welding Technology Review) 2 (2013) s 29–35.
- [8] T.-K. Han, B.-G. Park, C.-Y. Kang, Hardening characteristics of CO2 laser welds in advanced high strength steel, Metals and Materials International 18 (3) (2012) 473–479.
- [9] EN 10346. Continuously Hot-Dip Coated Steel Flat Products – Technical Delivery Conditions, 2009.
- [10] Z. Guo-hui, X.-h. Zhang, W.-m. Mao, Development in high-grade dual phase steels with low C and Si design, Frontiers of Materials Science in China 3 (4) (2009) 442–446.
- [11] P. Ferro, The use of Matlab in advanced design of bonded and welded joints, Applications of MATLAB in Science and Engineering (2011) 387–408 (ISBN 978-953-307-708-6, 09 2010).
- [12] M.H.F. Sluiter, D. Simonovic, E.S. Tasci, Materials databases for the computational materials scientist, International Journal of Minerals, Metallurgy and Materials 18 (3) (2011) 303.
- [13] Z.-K. Liu, A materials research paradigm driven by computation, JOM Journal of the Minerals, Metals and Materials Society 61 (2009) 10.
- [14] S.H. Park, Development of ductile ultra-high strength hot rolled steels, Posco Technical Report, 50–128.
- [15] J. Trzaska, Modelling of CCT Diagrams for Engineering and Constructional Steels, Journal of Materials Processing Technology 192–193 (2007) 504–510.
- [16] M. Victor Li, V.D. Niebuhr, L.L. Meekisho, G.D. Atteridge, A Computational model for the prediction of steel hardenability, Metallurgical and Materials Transactions 29B (1998) 661–672.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-bef96bf0-ce76-4f83-8f43-b2bab7464b43