Optimization of the Wire Electric Discharge Machining Process of Nitinol-60 Shape Memory Alloy Using Taguchi-Pareto Design of Experiments, Grey-Wolf Analysis, and Desirability Function Analysis

Wasiu Oyediran Adedeji, Mofoluwaso Kehinde Adeniran, Kasali Aderinmoye Adedeji, John Rajan, Sunday Ayoola Oke, Elkanah Olaosebikan Oyetunji


The nitinol-60 shape memory alloy has been rated as the most widely utilized material in real-life industrial applications, including biomedical appliances, coupling and sealing elements, and activators, among others. However, less is known about its optimization characteristics while taking advantage to choose the best parameter in a surface integrity analysis using the wire EDM process. In this research, the authors proposed a robust Taguchi-Pareto (TP)-grey wolf optimization (GWO)-desirability function analysis (DFA) scheme that hybridizes the TP method, GWO approach, and DFA method. The point of coupling of the TP method to the GWO is the introduction of the discriminated signal-to-noise ratios contained in the selected 80-20 Pareto rule of the TP method into the objective function of the GWO, which was converted from multiple responses to a single response accommodated by the GWO. The comparative results of five outputs of the wire EDM process before and after optimization reveals the following understanding. For the CR, a gain of 398% was observed whereas for the outputs named Rz, Rt, SCD, and RLT, losses of 0.0996, 0.0875, 0.0821, and 0.0332 were recorded. This discrimination of signal-to-noise ratio based on the 80-20 rule makes the research different from previous studies, restricting the data fed into the GWO scheme to the most essential to accomplishing the TP-GWO-DFA scheme proposed. The use of the TP-GWO-DFA method is efficient given the limited volume of data required to optimize the wire EDM process parameters of nitinol.


Nitirol, Pareto rule (80-20), Taguchi method, Optimization

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Amdoun R., Khelifi L., Slaoui M.K., Amroune S., Asch M., Assaf - DucroCqc and Gontier E., 2018, the desirability optimization methodology, a tool to predict two antagonist responses in biotechnological systems: case of biomass growth and hyoscyamine context in elicited datura stir monium hairy roots, Iran Journal of Biotechnology, Vol. 16, No. 1, e1339.doi:10.21859/ijb.1339.

Balasubramaniyan, C., Santosh, S., &Rajkumar, K. (2022). Surface quality and morphology of NiTiCuZr shape memory alloy machined using thermal-energy processes: an examination of comparative topography. Surface Topography: Metrology and Properties, 10(3), 035019.

Bisaria, H., & Shandilya, P. (2020). Surface integrity aspects for NiTi shape memory alloys during wire electric discharge machining: a review. Journal of Materials Research, 35(6), 537-558.

Chaudhari, R., Vora, J. J., Patel, V., López de Lacalle, L. N., & Parikh, D. M. (1) (2020). Surface analysis of wire-electrical-discharge-machining-processed shape-memory alloys. Materials, 13(3), 530.

Chaudhari, R., Vora, J. J., Patel, V., Lacalle, L. L. D., & Parikh, D. M. (2) (2020). Effect of WEDM process parameters on surface morphology of nitinol shape memory alloy. Materials, 13(21), 4943.

Manjaiah, M., Narendranath, S., Basavarajappa, S., &Gaitonde, V. N. (2018). Investigation on material removal rate, surface and subsurface characteristics in wire electro discharge machining of Ti50Ni50-xCux shape memory alloy. Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications, 232(2), 164-177.

Roy B.K. Mandal A., 2019, Surface integrity analysis of nitinol–60 shape memory alloy in WEDM, Materials and Manufacturing, Vol. 34, No. 10, pp. 1091-1102. DOI: 10.1080/426914.2019.1628256.

Nwankiti U.S. and Oke S.A. 2022, Thermal friction drilling process parametric optimization for AISI 304 stainless steel using an integrated taguchi-pareto–grey wolf-desirability function analysis optimization technique, Indonesian Journal of Industrial Engineering & Management, Vol. 3, No. 3, pp. 210-223.

DOI: http://dx.doi.org/10.22441/ijiem.v4i1.18087


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