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Parametric Optimization of WEDM Machining Using TOPSIS


Affiliations
1 Department of Mechanical Engineering, R.V.R & J.C. College of Engineering, Guntur, Andhra Pradesh, India
     

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Wire Electrical Discharge Machining (WEDM) is an advanced non-conventional machining process specifically used for difficult to machine conducting materials such as, ceramics, nemonic alloys, heat treated tool steels, composites, carbides, super alloys, heat resistant steels etc. with high precision. The present study investigates the effect of the four process parameters viz. pulse on time, pulse off time, peak current and servo voltage on three response variables such as Surface Roughness (SR), Material Removal Rate (MRR), and Kerf Width (KW) while machining titanium alloys. Each parameter was set at three levels. Taguchi’s L9 orthogonal array has been used for conducting the experiments. A technique for order preference by similarity to ideal solution (TOPSIS) approach has been used to determine the optimal level of machining parameters. Analysis of variance (ANOVA) has been conducted for investigating the effect of process parameters on overall machining performance. The effectiveness of proposed optimal condition is validated through the confirmation test.

Keywords

WEDM, Orthogonal Array, Multi-Objective Optimization, TOPSIS, ANOVA.
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  • Sahoo, S.K., Naik, S.S., & Rana, J., (2019). Optimisation of WEDM process parameters during machining of HCHCr steel using TOPSIS method. International Journal of Process Management and Benchmarking, 9(2), 216 – 231.

  • Tripathy, S., & Tripathy, D.K. (2017). Multiresponse optimization of machining process parameters for powder mixed electrodischarge machining of H-11 die steel using grey relational analysis & topsis. Machining Science and Technology, 21(3), 362-384.

  • Manivannan, R., & Pradeep Kumar, M. (2017). Multi-attribute decision-making of cryogenically cooled micro-EDM drilling process parameters using TOPSIS method. Materials and Manufacturing Processes, 32(2), 209-215.

  • Kumar, A., Kumar, V., & Kumar, J. (2013). Multi-response optimization of process parameters based on response surface methodology for pure titanium using WEDM process. International Journal of Advanced Manufacturing Technology, 68(9–12), 2645– 2668.

  • Prabhakaran, R.D., Babu, J.C., & Agarwal, V.P. (2016). Optimum Selection of a Composite Product System Using MADM Approach. Material & Manufacturing Processes, 21(8), 883- 891.

  • Rao, R.V. (2006). Evaluation of work materials using a combined multiple attribute decisionmaking method. The International Journal of Advanced Manufacturing Technology, 28(3-4), 221- 227.

  • Thirumalai, R., & Senthilkumar, J.S. (2013). Multi-criteria decision making in the selection of machining parameters for Inconel 718. Journal of Mechanical science and Technology, 27( 4), 1109-1116.

  • Tosun, N., Cogunb, C., & Tosun, G. (2004). Study on kerf and material removal rate in wire electrical discharge machining based on Taguchi method. Journal of Materials Processing Technology, 152, 316–322.

  • Mohapatra, K.D., & Sahoo, S.K. (2018). Multi objective optimization of gear cutting in WEDM of Inconel 718 using TOPSIS method. Decision Science Letters, 7(2), 157–170.

  • Bharathi,P., Priyanaka,T.G.L., Srinivasa Rao, G., & Nageswara Rao. B. (2016). Optimum WEDM Process parameters of SS304 using Taguchi Method. International Journal of Industrial & Manufacturing System Engineering, 1(3), 69-72.

  • Srinivasarao, G., & Suneel, D. (2018). Parametric Optimization of WEDM on α-β Titanium Alloy using Desirability Approach. In Materials Today: Proceedings, 5, 7937–7946. Elsevier Ltd. https://doi.org/10.1016/j.matpr.2017.11.476.


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  • Parametric Optimization of WEDM Machining Using TOPSIS

Abstract Views: 244  |  PDF Views: 0

Authors

G. Srinivasarao
Department of Mechanical Engineering, R.V.R & J.C. College of Engineering, Guntur, Andhra Pradesh, India
Arun Kumar
Department of Mechanical Engineering, R.V.R & J.C. College of Engineering, Guntur, Andhra Pradesh, India
Gopi Krishna
Department of Mechanical Engineering, R.V.R & J.C. College of Engineering, Guntur, Andhra Pradesh, India

Abstract


Wire Electrical Discharge Machining (WEDM) is an advanced non-conventional machining process specifically used for difficult to machine conducting materials such as, ceramics, nemonic alloys, heat treated tool steels, composites, carbides, super alloys, heat resistant steels etc. with high precision. The present study investigates the effect of the four process parameters viz. pulse on time, pulse off time, peak current and servo voltage on three response variables such as Surface Roughness (SR), Material Removal Rate (MRR), and Kerf Width (KW) while machining titanium alloys. Each parameter was set at three levels. Taguchi’s L9 orthogonal array has been used for conducting the experiments. A technique for order preference by similarity to ideal solution (TOPSIS) approach has been used to determine the optimal level of machining parameters. Analysis of variance (ANOVA) has been conducted for investigating the effect of process parameters on overall machining performance. The effectiveness of proposed optimal condition is validated through the confirmation test.

Keywords


WEDM, Orthogonal Array, Multi-Objective Optimization, TOPSIS, ANOVA.

References