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A comparative study on parametric optimization of a wire-electrical discharge machining process using MCDM methods in intuitionistic fuzzy environment

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Abstract

Due to its ability to generate complex shape profiles and contours in many of the advanced engineering materials having higher strength-to-weight ratio, and corrosion and wear resistance properties, wire-electrical discharge machining (WEDM) has emerged out as one of the most suitable non-traditional material removal processes in modern-day manufacturing industries. Optimization of a WEDM process appears to be a difficult task because of multiple conflicting responses, interaction between the input parameters and responses, and varying relative importance assigned to the responses. To resolve the issue, based on a past experimental data, this paper focuses on applications of three multi-criteria decision making (MCDM) methods, i.e., combined compromise solution (CoCoSo), combinative distance-based assessment (CODAS) and multi-attributive ideal-real comparative analysis (MAIRCA) in intuitionistic fuzzy (IF) environment to optimize a WEDM process. The derived results reveal that all the three IF-MCDM techniques identify the same combination of WEDM process parameters (pulse-on time = 115 μs, pulse-off time = 55 μs, wire feed = 3 m/min and wire tension = 7 kg-F) as the optimal choice for having the compromised values of cutting speed, kerf width and surface roughness. A sensitivity analysis with respect to varying criteria weights singles out IF-CoSoSo as the most robust MCDM technique. Excellent Spearman’s rank correlation coefficients (> 0.90) between the considered MCDM techniques ensure their almost similar performance in optimizing the said WEDM process in IF environment.

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Authors and Affiliations

  1. Production Engineering Department, Jadavpur University, Kolkata, West Bengal, India

    Srinjoy Chatterjee & Shankar Chakraborty

  2. Department of Mechanical Engineering, Sikkim Manipal Institute of Technology, Sikkim Manipal University, Majitar, Sikkim, India

    Partha Protim Das

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  1. Srinjoy Chatterjee
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  2. Partha Protim Das
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  3. Shankar Chakraborty
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SC: Data collection and analysis, PPD: Data analysis and draft preparation, SC: Final draft preparation and technical editing

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Correspondence to Shankar Chakraborty.

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Chatterjee, S., Das, P.P. & Chakraborty, S. A comparative study on parametric optimization of a wire-electrical discharge machining process using MCDM methods in intuitionistic fuzzy environment. Multiscale and Multidiscip. Model. Exp. and Des. 7, 507–527 (2024). https://doi.org/10.1007/s41939-023-00218-0

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