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Parametric optimization of MIG welding on 316L austenitic stainless steel by Taguchi method

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: Taguchi design has been adopted in order to identify optimal parametric combination for desired quality of weld. Design/methodology/approach: A plan of experiments based on Taguchi technique has been used. An orthogonal array, signal to noise (S/N) ratio and analysis of variance (ANOVA) are employed to study the welding characteristics of material & optimize the welding parameters. Findings: The welding investigators have always been in search for better quality of weldment. In present work, effect of current, gas flow rate and nozzle to plate distance on quality of weld in metal gas arc welding of Austenitic stainless steel AISI 316L has been studied through experiment and analyses. Butt welded joints have been made by several levels of current, gas flow rate and nozzle to plate distance. The result computed is in form of contribution from each parameter, through which optimal parameters are identified for maximum tensile strength and percentage elongation. Research limitations/implications: The main objective of the present study was to apply the Taguchi method to establish the optimal set of control parameters for the welding. The Taguchi method is employed to determine the optimal combination of design parameters, including: current, gas flow rate and nozzle to plate distance. Practical implications: Weld quality mainly depends on features of bead geometry, mechanical-metallurgical characteristics of the weld as well as on various aspects of weld chemistry and these features are expected to be greatly influenced by various input parameters like current, voltage, electrode stick-out, gas flow rate, edge preparation, position of welding, welding speed and many more in metal inert gas (MIG) welding. Moreover, the cumulative effect of the mentioned quality indices determines the extent of joint strength that should meet the functional aspects of the weld in practical field of application. Therefore, preparation of a satisfactory good quality weld seems to be a challenging job. Originality/value: The result computed is in form of contribution from each parameter, through which optimal parameters are identified for maximum tensile strength and percentage elongation. This paper presents new results of optimization using Taguchi method.
Rocznik
Strony
27--36
Opis fizyczny
Bibliogr. 27 poz.
Twórcy
autor
  • Mechanical Engineering Department, Jadavpur University, Kolkata 700032,W.B, India
autor
  • Mechanical Engineering Department, Jadavpur University, Kolkata 700032,W.B, India
autor
  • Mechanical Engineering Department, Jadavpur University, Kolkata 700032,W.B, India
Bibliografia
  • [1] P. Kanjilal, T.K. Pal, S.K. Majumdar, Combined effect of flux and welding parameters on chemical composition and mechanical properties of submerged arc weld metal, Journal of Materials Processing Technology 171 (2006) 223-231.
  • [2] P.K. Palani, N. Murugan, Sensitivity Analysis for Process Parameters in Cladding of Stainless Steel by Flux Cored Arc Welding, Journal of Manufacturing Processes 8/2 (2006) 90-100.
  • [3] A.K. Lakshminarayanan, V. Balasubramanian, Evaluation of Microstructure and Mechanical Properties of Laser Beam Welded AISI 409M Grade Ferritic Stainless Steel, Journal of Iron and Steel Research International 19/1 (2012) 72-78.
  • [4] M. Mukherjee, T.K. Pal, Influence of Heat Input on Martensite Formation and Impact Property of Ferritic-Austenitic Dissimilar Weld Metals, Journal of Materials Science Technology 28/4 (2012) 343-352.
  • [5] E. Ranjbarnodeh, Investigation of the Effect of Welding Parameters on HAZ of AISI409 Using EBSD, Journal of Material Science 2/1 (2010) 46-53
  • [6] B. Hu, R. Yu, H. Zou, Magnetic non-destructive testing methods for thin - plates aluminium alloys, NDT&E International 47 (2012) 66-69.
  • [7] H.K. Lee, H.S. Han, K.J. Son, S.B. Hong, Optimization of Nd-YAG laser welding parameters for sealing small titanium tube ends, Journal of Materials Science and Engineering A 415 (2006) 149-155.
  • [8] L.K. Pan, C.C. Wang, Y.C. Hsiso, K.C. Ho, Optimization of Nd-YAG laser welding onto magnesium alloy via Taguchi analysis, Journal of Optics and Laser Technology 37 (2004) 33-42.
  • [9] I.Z. Ibrahim, S.A. Mohama, A. Amir, A. Ghalib, The effect of Gas Metal Arc Welding (GMAW) processes on different welding parameters, Procedia Engineering 41 (2012) 1502-1506.
  • [10] N. Murugan, R.S. Parmar, Effects of MIG process parameters on the geometry of the bead in the automatic surfacing of stainless steel, Journal of Materials Processing Technology 41 (1994) 381-398.
  • [11] L.S. Rosado, T.G. Santos, M. Piedade, P. Vilaça, Advanced technique for non-destructive testing of friction stir welding of metals. Journal of Measurement 43 (2010) 1021-1030.
  • [12] T. Senthil Kumar, V. Balasubramanian, T. Senthilkumar, Influences of pulsed current tungsten inert gas welding on the tensile properties of AA 6061 aluminium alloy, Materials and Design 28 (2007) 2080-2092.
  • [13] K. Seshank, S.R.K. Rao, Y. Singh, K.P. Rao, Prediction of bead geometry in pulsed current gas tungsten arc welding of aluminium using artificial neural networks, Proceedings of International Conference on Information and Knowledge Engineering, IKE, Las Vegas, USA, 2003, 149-153.
  • [14] K. Sittichai, N. Santirat, P. Sompong, A study of gas metal arc welding affecting mechanical properties of austenitic stainless steel AISI 304, World Academy of Science, Engineering and Technology 61 (2012) 402-405.
  • [15] S. Datta, A. Bandyopadhyay, P.K. Pal, Grey-based Taguchi method for optimization of bead geometry in submerged arc bead-on-plate welding, International Journal of Advanced Manufacturing Technology 39 (2008) 1136-1143.
  • [16] S.C. Juang, Y.S. Tarng, Process parameters selection for optimizing the weld pool geometry in the tungsten inert gas welding of stainless steel, Journal of Materials Processing Technology 122 (2002) 33-37.
  • [17] Y.S. Tarng, W.H. Yang, Optimization of the weld bead geometry in gas tungsten arc welding by the Taguchi method, International Journal of Advanced Manufacturing Technology 14 (1998) 549-554.
  • [18] Y.S. Tarng, W.H. Yang, S.C. Juang, The use of fuzzy logic in the Taguchi method for the optimisation of the submerged arc welding process, International Journal of Advanced Manufacturing Technology 16 (2000) 688-694.
  • [19] Y.S. Tarng, S.C. Juang, C.H. Chang, The use of grey-based Taguchi methods to determine submerged arc welding process parameters in hard facing, Journal of Materials Processing Technology 128/1-3 (2002) 1-6.
  • [20] R. Yilmaz, H. Uzun, Mechanical properties of austenitic stainless steels welded by GMAW and GTAW, Journal of Marmara for Pure and Applied Sciences 18 (2002) 97-113.
  • [21] P.N. Rao, Manufacturing Technology, Volume 1, 3rd Edition, Tata McGraw-Hill Publishing Company Limited, 2009, 419.
  • [22] Causes for Weld Defects, IIW Doc. XII-B-046-83, International Institute of Welding, 1983.
  • [23] G. Rihar, M. Taucer, Lack of Fusion in Welded Joints, Varilna tehnika 51/4 (2002) 107-110 (in Slovenian).
  • [24] Gas-Shielded Metal-Arc Welding of Steel, IIW Doc. XII-B-049-83, International Institute of Welding, 1983.
  • [25] K. Sathishkuma, R. Vijaykumar, R. Rajmurugan, Study on defects in straight tube butt welding, International Journal of Scientific Engineering and Applied Science (IJSEAS) 1/5 (2015) 2395-3470.
  • [26] R.S. Parmar, Welding Processes and Technology, 2nd Edition, Khanna Publications, New Delhi, 1997.
  • [27] O.P. Khanna, Welding Technology, Dhanpat Rai & Sons, 1986.
Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-cce6175e-f5bf-416e-bdc7-6970c9ee476f
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