Optimization of Wire-ED Turning Process Parameters by Taguchi-Grey Relational Analysis

Gajanan M. Naik*, S. Narendranath**
* Junior Research Fellow and Research Scholar, Department of Mechanical Engineering, National Institute of Technology Karnataka, Surathkal, Mangalore, India.
** Professor and Head, Department of Mechanical Engineering, National Institute of Technology Karnataka, Surathkal, Mangalore, India.
Periodicity:February - April'2018
DOI : https://doi.org/10.26634/jme.8.2.14206

Abstract

This paper optimizes the Wire-Electric Discharge Turning (EDT) process parameters for INCONEL 718 Nickel based super alloy via Taguchi-Grey Relation Analysis. The most significant factor has been identified through Analysis of Variance (ANOVA) technique; subsequently, rotational speed, pulse on time, pulse off time, servo voltage, wire feed rate, and flushing pressure have been chosen as input factors. Metal Removal Rate (MRR) and Surface Roughness (Ra) are considered as response characteristics; thus experiments are conducted according to L18 mixed type Taguchi's orthogonal array. Also the optimal process parameters are evaluated and the results of the confirmation test are validated. Experimental result shows that there is performance improvement by 3.588% and decrement by 9.171% of MRR and surface roughness, respectively. The ANOVA has shown that pulse on time has the most significant effect on MRR and Ra.

Keywords

Wire-Electric Discharge Turning (Wire-EDT), Metal Removal Rate (MRR), Surface Roughness, Grey Relation Analysis.

How to Cite this Article?

Naik, G. M., and Narendranath,S. (2018). Optimization of Wire-ED Turning Process Parameters by Taguchi-Grey Relational Analysis. i-manager’s Journal on Mechanical Engineering, 8(2), 1-8. https://doi.org/10.26634/jme.8.2.14206

References

[1]. Haddad, M. J., & Tehrani, A. F. (2008). Material removal rate (MRR) study in the cylindrical wire electrical discharge turning (CWEDT) process. Journal of Materials Processing Technology, 199(1-3), 369-378.
[2]. Hasani, H., Tabatabaei, S. A., & Amiri, G. (2012). Grey relational analysis to determine the optimum process parameters for open-end spinning yarns. Journal of Engineered Fibers and Fabrics, 7(2), 81-86.
[3]. Krishnan, S. A., & Samuel, G. L. (2013). Multi-objective optimization of material removal rate and surface roughness in wire electrical discharge turning. The International Journal of Advanced Manufacturing Technology, 67(9-12), 2021-2032.
[4]. Kumar, K., & Ravikumar, R. (2013). Modeling and optimization of wire EDM process. International Journal of Modern Engineering Research, 3(3), 1645-1648.
[5]. Manjaiah, M., Narendranath, S., Basavarajappa, S., & Gaitonde, V. N. (2014). Wire electric discharge machining characteristics of titanium nickel shape memory alloy. Transactions of Nonferrous Metals Society of China, 24(10), 3201-3209.
[6]. Muthuramalingam, T., & Mohan, B. (2013). Taguchigrey relational based multi response optimization of electrical process parameters in electrical discharge machining. Indian Journal of Engineering and Material Science, 20, 471-475.
[7]. Naik, G. M., & Narendranath, S. (2017). A parametric optimization of wire-ED turning process parameters on material removal rate of INCONEL 718. Journal of Mechanical Engineering and Biomechanics, 2(2), 8-14, DOI: https:/doi.org/10/24243/JMEB
[8]. Nayak, S., & Routara, B. C. (2014). Optimization of Multiple Performance Characteristics in Electro Discharge Machining using Grey Relational Analysis. International Journal of Scientific & Technology Research, 3(4), 116-121
[9]. Pawar, K., & Palhade, R. D. (2015). Multi-objective Optimization of CNC Turning Process Parameters for High Speed Steel (M2) Using Taguchi and ANOVA Method. International Journal of Hybrid Information Technology, 8(4), 67-80.
[10]. Raghuraman, S., Thiruppathi, K., Panneerselvam, T., & Santosh, S. (2013). Optimization of EDM parameters using Taguchi method and grey relational analysis for mild steel IS 2026. International Journal of Innovative Research in Science, Engineering and Technology, 2(7), 3095-3104.
[11]. Rai, K. B., & Dewan, P. R. (2014). Parametric optimization of WEDM using grey relational analysis with Taguchi method. International Journal of Research in Engineering & Technology, 2(8), 109-116.
[12]. Rajyalakshmi, G., & Ramaiah, D. P. V. (2012). Simulation, Modelling and Optimization of Process parameters of Wire EDM using Taguchi–Grey Relational Analysis. International Journal of Advanced and Innovative Research.
[13]. Rajyalakshmi, G., & Ramaiah, P. V. (2015). Application of Taguchi, fuzzy-grey relational analysis for process parameters optimization of WEDM on Inconel-825. Indian Journal of Science and Technology, 8(35), 1-12.
[14]. Rathi, M. G., & Mane, D. V. (2014). Study on effect of Powder Mixed dielectric in EDM of Inconel 718. International Journal of Scientific and Research Publications, 4(11), 1-7.
[15]. Selvam, M. D., Dawood, D. A. S., & Karuppusami, D. G. (2012). Optimization of machining parameters for face milling operation in a vertical CNC milling machine using genetic algorithm. IRACST-Engineering Science and Technology: An International Journal (ESTIJ), 2(4), 544-548.
[16]. Sharma, P., Chakradhar, D., & Narendranath, S. (2015). Evaluation of WEDM performance characteristics of Inconel 706 for turbine disk application. Materials & Design, 88, 558-566.
[17]. Singh, P. N., Raghukandan, K., & Pai, B. C. (2004). Optimization by Grey relational analysis of EDM parameters on machining Al–10% SiCP composites. Journal of Materials Processing Technology, 155, 1658-1661.

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