Flux Cored Arc Welding Parameter Optimization of AISI 316L (N) Austenitic Stainless Steel
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Flux Cored Arc Welding Parameter Optimization of AISI 316L (N) Austenitic Stainless Steel

Authors: D.Katherasan, Madana Sashikant, S.Sandeep Bhat, P.Sathiya

Abstract:

Bead-on-plate welds were carried out on AISI 316L (N) austenitic stainless steel (ASS) using flux cored arc welding (FCAW) process. The bead on plates weld was conducted as per L25 orthogonal array. In this paper, the weld bead geometry such as depth of penetration (DOP), bead width (BW) and weld reinforcement (R) of AISI 316L (N) ASS are investigated. Taguchi approach is used as statistical design of experiment (DOE) technique for optimizing the selected welding input parameters. Grey relational analysis and desirability approach are applied to optimize the input parameters considering multiple output variables simultaneously. Confirmation experiment has also been conducted to validate the optimized parameters.

Keywords: bead-on-plate welding, bead profiles, desirability approach, grey relational analysis

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1079944

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[1] Z. Zhang, A. W. Marshall, G .B. Holloway, "Flux cored arc welding: the high productivity welding process for P91 steels. In: Proceedings of the 3rd conference on advances in materials technology for fossil power plants". The Institute of Materials, University of Wales Swansea, London, (2001), pp. 267-282.
[2] N. Murugan, R. S. Paramar, S. K. Sud, "Effect of submerged arc process variables on dilution and bead geometry in single wire surfacing". Journal of Mater Process Technology 37(1993), pp.767-780.
[3] V. Gunaraj, N. Murugan, "Prediction and optimization of weld bead volume for the submerged arc process-part 1", Welding Journal, (2000), pp. 286-294.
[4] R. Unal, B. Dean Edwin "Taguchi approach to design optimization for quality and cost: an overview". Presented at the Annual Conference of the International Society of Parametric Analysis (1991).
[5] H. Rowlands, J. Antony, G. Knowles," An application of experimental design for process optimization", The TQM Magazine 12(2) (2000), pp.78-83.
[6] J. Antony, F. Antony "Teaching the Taguchi method to industrial engineers", Work Study 50(4) (2001), pp. 141-149.
[7] S. Maghsoodloo, G. Ozdemir, V. Jordan, C. H. Huang "Strengths and limitations of Taguchi-s contributions to quality, manufacturing, and process engineering". Journal of Manufacturing Systems, 23(2) (2004), pp.73-126.
[8] W. H. Yang, Y. S. Tarng" Design optimization of cutting parameters for turing operations based on the Taguchi method", Journal of Material Processing Technology, 84 (1998), pp.122-129.
[9] Y. S. Tarng, S. C. Juang, C. H. Chang "The use of Grey-based Taguchi methods to determine submerged arc welding process parameters in hardfacing", Journal of Material Processing Technology, 128 (2002), pp. 1-6.
[10] S. Datta, A. Bandyopadhyay, P.K. Pal." Gery-based taguchi method for optimization of bead geometry in submerged arc bead-on-plate welding", International Journal of Advanced Manufacturing Technology 39 (2007) ,pp. 1136-1143.
[11] S. H. Lim, C. M. Lee, W. J. Chung, "A study on the optimal cutting condition of a high speed feeding type laser cutting machine by using Taguchi method", International Journal of Precision Engineering and Manufacturing 7(1) (2006), pp. 18-23
[12] J. .Deng, "Control problems of grey systems" , Systems and control Letter, 5(1982), pp. 288-294.
[13] J. Deng, "Introduction to grey theory", Journal of Grey systems, 1(1) (1989), pp. 11-24.
[14] G. Derringer, R. Suich, Simultaneous optimization of several response variables. Journal of Quality Technology, 12, (4) (1980), pp. 214-219.
[15] J. Harington, "The Desirability Function", Industrial Quality Control 21(1965), pp. 494- 498.