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Multi-Response Optimization Of High Speed Turning Parameters Of Superalloy Inconel 718 Material Using Taguchi Method Based Grey Relational Analysis

Sathyanarayana B*, G. Ranga Janardhana**, D. Hanumantha Rao***

* Department of Mechanical Engineering, VNR Vignana Jyothi Institute of Engineering & Technology, Hyderabad, India.

** Principal, College of Engineering, J N T U, Vizayanagaram, India.

*** Professor, Department of Mechanical Engineering, MVSR Engineering College, Hyderabad, India.

Periodicity:May - July'2011
DOI : https://doi.org/10.26634/jme.1.3.1492

Abstract

Nickel-based superalloy, Inconel 718 is widely used in aircraft industry due to its exceptional thermal resistant retaining mechanical properties up to 700°C. On the other hand, it is very difficult to machine, due to their high shear strength, work hardening tendency, highly abrasive carbide particles, tendency to weld and form build-up edge and low thermal conductivity. This paper presents a hybrid optimization approach for determination of the optimum turning process parameters which minimize the Surface Roughness and Tool flank wear together in CNC High Speed turning of Inconel 718 nickel based super alloy using Sandvik make uncoated tungsten carbide cutting tool SNMG 120408 H13A. An exhaustive experimental study has been conducted with various process parameters like speed, feed and depth of cut with three levels each. Thus, an orthogonal array L₉ has been adopted to accommodate the factors at their respective levels. The surface roughness and tool flank wear are considered as process performances. A multi-response optimization has been carried out by using Taguchi method based Grey Relational Analysis (GRA). Also the significant process parameters have been found out for the above process optimization by performing an ANOVA. Confirmation tests with the optimal levels of cutting parameters are carried out in order to illustrate the effectiveness of the method. Validations of the modeled equations are proved to be well within the agreement with the experimental data.

Keywords

Inconel 718, Multi-Response Optimization, Grey Relational Analysis, Taguchi method, ANOVA.

How to Cite this Article?

B. Satyanarayana, G. Ranga Janardhana and D. Hanumantha Rao (2011). Multi-Response Optimization Of High Speed Turning Parameters Of Superalloy Inconel 718 Material Using Taguchi Method Based Grey Relational Analysis. i-manager’s Journal on Mechanical Engineering, 1(3), 49-60. https://doi.org/10.26634/jme.1.3.1492

References

[1]. E.A. Loria (1998). The Status and Prospects of Alloy 718, J.Met.(July) 36-41.

[2]. T. Kitagawa, A. Kubo, K. Maekawa (1997). Temperature and wear of cutting tools in high speed Machining of Inconel 718 and Ti-6Al-6V-2Sn, Wear, 202 142-148.

[3]. A.R.C. Sharman, J.J. Huges, K.Ridgway (2004). Work piece surface integrity and tool life issues when turning Inconel 718 nickel based super alloy, Machining Science and Technology, 8 (3), 399-414.

[4]. R.S. Pawade, S.S. Joshi, P.K. Brahmankar, (2008). Effect of cutting edge geometry and machining parameters on surface integrity of high-speed turned Inconel 718, International Journal of Machine Tools and Manufacture 48 (1) 15–28.

[5]. R.T. Coelho, L.R. Silva, A. Braghini Jr., & A. A. Bezerra, (2004). Some effects of cutting edge preparation and geometric modifications when turning Inconel 718 at high cutting speeds, Journal of Materials Processing Technology, 148 (1), 147–153.

[6]. R.S. Pawade, S.S. Joshi, P.K. Brahmankar, M. Rahman, (2007). An investigation of cutting forces and surface damage in high-speed turning of Inconel 718, Journal of Materials Processing Technology, 192–193, 139–146.

[7]. R.S. Pawade, S.S. Joshi, P.K. Brahmankar, M. Rahman, (2004). Some investigations of high-speed turned Inconel 718, in: V.S. Raja, Kuppan (Eds.), Proceedings of the of the 21st AIMTDR Conference, VIT, Vellore, pp. 41–47, (December 21–23).

[8]. Muammer Nalbant, Abdullah Alt y´n, Hasan Gokkaya, (2007). The effect of coating material and geometry of cutting tool and cutting speed on machinability properties of Inconel 718 super alloys, Materials and Design, 28(5), 1719–1724.

[9]. Y.S. Liao, R.H. Shiue, (1996). Carbide tool wear mechanism in turning of Inconel 718 superalloy, Wear, 193, 16–24.

[10]. K. Itakura, M. Kuroda, H. Omokawa, H. Itani, K. Yamamoto, Y. Ariura (1999). Wear mechanism of coated cemented carbide tool in cutting of Inconel 718 super- heat-resisting alloy, Int. J. Jpn. Soc. Prec. Eng. 33 326–332.

[11] . A. Devillez, F. Schneider, S. Dominiak, D. Dudzinski, D. Larrouquere, (2007). Cutting forces and wear in dry machining of Inconel 718 with coated carbide tools, Wear, 262, 931–942.

[12]. E.O. Ezugwu, K.A. Olajire, Z.M. Wang (2000). Wear analysis of coated carbide tools when machining nickel base, Inconel 718 alloy, in: Proceedings of the Fourteenth International Conference on Surface Modification Technologies, Paris, France, September, pp. 279–286.

[13]. A. Jawaid, S. Koksal, S. Sharif (2000). Wear behavior of PVD and CVD coated carbide tools when face milling Inconel 718, Tribol. Trans. 43 (2000), 325–331.

[14]. Abhay Bhatt, R. Helmi Attia, V. Vargas, & Thomson, (2010). Wear mechanisms of WC coated and uncoated tools in finish turning of Inconel 718, Tribol. Int. 43 1113–1121.

[15]. W. H. Yang, & Y. S. Tarng, (1998). J Mater Process Technol, 84, 122–129.

[16]. H. Rowlands, J. Antony, G. Knowles, (2000). The TQM Magazine, 12, 78–83.

[17]. S. Datta, A. Bandyopadhyay, P. K. Pal, (2008). International Journal of Advanced Manufacturing Technology, 39, 1136–1143.

[18] . S. H Lim, C. M Lee, WJ. Chung, (2006). International Journal of Precision Engineering and Manufacturing, 7, 18–23.

[19]. J. L. Deng, (1989). “Introduction to Grey System Theory”, Journal of Grey System., Vol. 1, pp. 1-24.

[20]. J. T. Huang and J. L. Lin,(2002). “Optimization of machining parameters setting of die–sinking EDM process based on the grey relational analysis with L18 orthogonal array”, J. Technol., Vol. 17, pp.659-664.

[21]. C. P. Fung, C. H. Huang and J. L. Doong, (2003).“The study on the optimization of injection molding process parameters with Gray Relational Analysis”, J. Reinf. Plast. Comps., vol. 22, pp. 51-66.

[22]. Y. K. Shen, H. W. Chien and Y. Lin, (2004). “Optimization of the micro–injection molding process using grey relational analysis and moldflow analysis”, J. Reinf. Plast. Comps., Vol. 23, pp. 1799-1814.

[23]. C.L. Lin, (2004). “Use of the Taguchi method and Grey Relational Analysis To Optimize Turning Operations With Multiple Performance Characteristics”, Mater. Manuf. Process., Vol. 19, No. 2, pp.209-220.

[24]. K. T. Chiang and F. P. Chang, (2006). “Optimization of the WEDM process of particle–reinforced material with multiple performance characteristics using grey relational analysis, J. Mater. Process. Technol., Vol. 108, pp. 96-101.

[25]. Y. K. Yang, J. R. Shie and C. H. Huang, (2006). “Optimization of dry machining parameters for high–purity graphite in end milling process”, Mater. Manuf. Process., Vol. 21, No. 8, pp. 832-8376.

[26]. D. C. Chen and C. F. Chen, (2007). “Use of Taguchi method to study a robust design for the sectioned beams curvature during rolling”, J.Mater. Process. Technol., Vol. 190, pp. 130-137.

[27]. C. P. Fung and P. C. Kang, (2005). “Multi–response optimization in friction properties of PBT composites using Taguchi method and principle component analysis”, J. Mater. Process. Technol., Vol. 170, pp. 602-610.

[28]. S. H. Tang, V. J. Tan, S. M. Sapuan, S. Sulaiman, N. Ismail & R. Samin, (2007). “The use of Taguchi method in the Design of Plastic Injection Mould For Reducing Warpage”, J. Mater. Process. Technol., Vol. 182, pp. 418-426.

[29]. P. Vijian & V. P. Arunachalam, (2006). “Optimization of squeeze cast parameters of LM6 aluminum alloy for surface roughness using Taguchi method”, J. Mater. Process. Technol., Vol. 180, pp. 161-166.

[30]. L. J. Yang, (2007). “The effect of specimen thickness on the hardness of plasma surface hardened ASSAB 760 steel specimens”, J. Mater.Process. Technol., Vol. 185, pp. 113-119.

[31]. J. Z. Zhang, J. C. Chen & E. D. Kirby, (2007). “Surface roughness optimization in a end–milling operation using the Taguchi design method”, J. Mater. Process. Technol., Vol. 184, pp. 233-239.

[32]. Huang J.T,.Liao Y.S (2003). Optimization of machining parameters of wire- EDM based on grey relational and statistical analysis. Int J.Prod .Res, 41(8), 1707-1720.

[33]. Guo.H Fuzzy (1985). Introduction to co-efficient of grey relational grade. Fuzzy mathematics, special issue on Grey systems, 5(2), 55-58.

[34]. Kuo.C.F.J & Wu.Y.S (2006). Optimization of the film coating process for polymer blends by the grey based Taguchi method. Int J Adv Manuf, Technol. 27, 525-530.

[35]. Lin C.L. & Lin. J.L (2002). The use of orthogonal array with grey relational analysis to optimize the EDM process with multiple performance characteristics. J Mater process Technol, 142: 237-244.

[36]. Fisher R A. (1925). Statistical methods for research worker. London : Oliver & Boyd.

Multi-Response Optimization Of High Speed Turning Parameters Of Superalloy Inconel 718 Material Using Taguchi Method Based Grey Relational Analysis

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