Experimental Investigation and Optimization by Evaluation Based on Distance from Average Solution Approach for Wire Electrical Discharge Machining of Super Duplex Stainless Steels

• Published in: Journal of materials engineering and performance 2024-02, Vol.33 (3), p.1424-1434
• Main Authors: James, D. Jafrey Daniel, Ramakrishnan, H., Pandiyan, G. Karthik, Bharath, M., Gokul, P., Akash, G., Arun, R.
• Format: Article
• Language: English
• Subjects: Characterization and Evaluation of Materials; Chemistry and Materials Science; Corrosion and Coatings; Engineering Design; Materials Science; Quality Control; Reliability; Safety and Risk; Technical Article; Tribology
• ISSN: 1059-9495; 1544-1024
• DOI: 10.1007/s11665-023-08052-8

This present study presents an experimental investigation based on a novel optimization algorithm known as entropy-based objective weight approaches that were coupled with Evaluation based on Distance from Average Solution (EDAS) for multi-objective optimization. The experimental and predicted results are compared with multi-criteria decision-making method like EDAS coupled with entropy-based objective criteria weights. Experimental analysis is done on wire electro-discharge machining of SS32750 super duplex stainless steels by varying pulse-on-time (Ton), current, and pulse-off-time (Toff) as major input process parameters. In addition to having high mechanical strength, super duplex stainless steels SS32750 provide excellent resistance to localized corrosion and stress corrosion cracking. In this paper, a non-traditional approach to examining the machinability characteristics of super duplex stainless steels was investigated. Taguchi-based orthogonal array of design of experiments methodology is used to design model (4-factors/3-levels) having output responses like Material Removal Rate (MRR), surface roughness, and kerf width. Confirmatory tests are used to validate their authenticity. Analysis of variance is utilized to verify and validate that models are significant. Optimal solution is obtained by EDAS approach to achieve the best output response which is further improved by 2.75, 1.73 and 3.02% when compared to Taguchi-based experimentation. MRR, surface roughness, and kerf width have entropy weights of 0.753, 0.228, and 0.019, respectively. The optimized values are found at T on of 35 µs, I by 8A, and T off of 3 µs, according to the optimization results. The microstructure of the optimized sample was investigated using a Scanning Electron Microscope.