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Modeling and Analysis of Mechanical Properties in Structural Steel-DOE Approach

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Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The present work focuses on the modeling and analysis of mechanical properties of structural steel. The effect of major alloying elements namely carbon, manganese and silicon has been investigated on mechanical properties of structural steel. Design of experiments is used to develop linear models for the responses namely Yield strength, Ultimate tensile strength and Elongation. The experiments have been conducted as per the full factorial design where all process variables are set at two levels. The main effect plots showed that the alloying elements Manganese and Silicon have positive contribution on Ultimate tensile strength and Yield strength. However, Carbon and Manganese showed more contribution as compared to Silicon. All three alloying elements are found to have negative contribution towards the response- Elongation. The present work is found to be useful to control the mechanical properties of structural steel by varying the major alloying elements. Minitab software has been used for statistical analysis. The linear regression models have been tested for the statistical adequacy by utilizing ANOVA and statistical significance test. Further, the prediction capability of the developed models is tested with the help of test cases. It is found that all linear regression models are found to be statistically adequate with good prediction capability. The work is useful to foundrymen to choose alloying elements composition to get desirable mechanical properties.
Rocznik
Strony
5--12
Opis fizyczny
Bibliogr. 22 poz., rys., tab., wykr.
Twórcy
autor
  • Department of Mechanical Engineering, Chhatrapati Shivaji Institute of Technology, Durg, India
  • Department of Mechanical Engineering, Chhatrapati Shivaji Institute of Technology, Durg, India
Bibliografia
  • [1] Douglas, C. (2007). Montgomery, Design and analysis of Experiments,John Wiley and sons, June.
  • [2] Zyska, A., Konopka, Z., Lagiewka, M. & Nadolski, M. (2013). Optimization of squeeze parameters and modification of AlSi7Mg alloy. Archives of Foundry Engineering. 13(2), 113-116.
  • [3] Parappagoudar, M.B., Pratihar, D.K. & Datta, G.L. (2008). Linear and non-linear modeling of cement-bonded moulding and system using conventional statistical regression analysis. Journal of Materials Engineering and Performance. 17(4), 472-481.
  • [4] Mandal, A.& Roy, P. (2006). Modeling the compressive strength of molasses-cement sand system using design of experiments and back propagation neutral network. Journal of Materials Processing Technology. 180(1), 167-173.
  • [5] Parappagoudar, M.B., Pratihar, D.K. & Datta, G.L. (2007). Non-linear modeling using central composite design to predict green sand mould properties. Proceedings of the Institution of Mechanical Engineers. Part B: Journal of Engineering manufacture. 221(5), 881-895.
  • [6] Parappagoudar, M.B., Pratihar, D.K. & Datta, G.L. (2007). Linear and non-linear statistical modeling of green sand mould system. International Journal of cast metals research. 20(1), 1-13.
  • [7] Surekha, B., Rao, D.H., Rao, G., Vundavilli, P.R. & Parappagoudar, M.B. (2012). Modeling and analysis of resin bonded sand mould system using design of experiments and central composite design. J.Manuf. Sci. Prod.. 12(1), 31-50.
  • [8] Parappagoudar, M.B., Pratihar, D.K. & Datta G.L. (2011). Modeling and analysis of sodium silicate-bonded moulding sand system using design of experiments and response surface methodology. Journal for Manufacturing Science & Production. 11(1-3), 1-14.
  • [9] Verran. G., Mendes, R.P.K. & Rossi, M. (2006). Influence of injection parameters on defects formation in die casting Al12Si1, 3Cu alloy: Experimental results and numeric simulation. Journal of materials processing technology. 179(1), 190-195.
  • [10] Verran Go, Mendes RPK and dalla Valentina LVO (2008). DOE applied to optimization of aluminium alloy die castings. Journal of materials processing technology. 200(1), 120-125.
  • [11] Chiang, K.T., Liu, N.M. & Tsai, T.C. (2009). Modeling and analysis of the effects of processing parameters on the performance characteristics in the high pressure die casting process of Al-SI alloys. The International Journal of Advanced 7% Si alloy castings, Journal of materials processing technology. 182(1), 615-623. Manufacturing Technology. 41 (11-12), 1076-1084.
  • [12] Kumar, S., Kumar, P. & Shan, H.S. (2007). Effect of evaporative pattern casting process parameters on the surface roughness of Al-7% Si alloy castings. Journal of materials processing technology. 182(1), 615-623.
  • [13] Laz'ko, V.G., Nikitin, V.N. & Karchevskaya, N.I. (1986). Effect of carbon content on the structure and mechanical properties of high-strength weldable steel 03G4N2MAF, Metal Science and Heat Treatment. March. 3(28). 186-188.
  • [14] Babichev, M.A. & Velikanova. A.A. (1964). Effect of the concentration of manganese on the wearability of steel. Metal Science and Heat Treatment. May, 6(6), 289-292.
  • [15] Kharitonov, V.A., Popova, N.I. & Shishov. V.F. (1984). Effect of silicon and titanium on the mechanical properties of steel N18K9M5T. Metal Science and Heat Treatment. March. 3(26), 232-234.
  • [16] Townsend, H.E. (2001). Effects of Alloying Elements on the Corrosion of Steel in Industrial Atmospheres. Corrosion: June. 6(57), 497-501.
  • [17] Izelu, C.O. Oreko, B.U. & Edward B.A. (2013). Experimental Investigation on the Influence of Alloying Elements on Heat Affected ZoneToughness of Welded Mild Steel Joints. International Journal of Innovative Research in Science,Engineering and Technology. December. 12(2), ISSN 2319-8753.
  • [18] Belato Rosado, D., De Waele, W., Vanderschueren, D.&Hertelé, S.(2013). Latest developments in mechanical properties and metallurgical features of high strength line pipe steels. International Journal of Sustainable construction and design. 1(4).
  • [19] Ismar, H., Burzic, Z., Kapor, N.J. & Kokelj, T. (2012). Experimental Investigation of High-Strength Structural Steel Welds. Journal of Mechanical Engineering. 6(58), 422-428.
  • [20] Saluja, R. & Moeed, K.M. (2012). Modeling and Parametric Optimization using Factorial Design Approach of Submerged Arc Bead Geometry for Butt Joint,International. Journal of Engineering Research and Applications (IJERA). 2(3), May-Jun, 505-508.
  • [21] Khare, M. & Kumar, D. (2014). Optimization of Sand Casting Parameters using Factorial Design. International Journal of Scientific Research. January. 3(1), ISSN No.2277-8179.
  • [22] Gadhiya, J.M. & Patel, P.J. (2013). Parametric Investigation of Turning Process on Mild Steel AISI 1018 Material. International Journal of Global Research Analysis. April. 2(4), ISSN no.2277-8160.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-fed88b26-0807-4c66-a214-7649a8a8c0df
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