Parametric study on selective surface modification in EDM using TOPSIS

This study investigates pattern generation by selective surface modification through the analysis of individual machining parameters and Multi Criteria Decision Making (MCDM) method specifically TOPSIS to optimize output parameters based on the weightage of the responses. The results reveal that TWR and MDR rise with I p and T on at any CL of the green compact tool. Similarly, the Ra and ED increase with an increase in I p and T on at any CL setting. With equal weightage for all responses, the optimal setting is at CL 10 ton, I p 3 A, T on 400 µs, resulting in TWR 75.19 mg/min, MDR 6.59 mg/min, Ra 6.10 µm and ED 49.53 µm. Whereas, for weightage of 40% for Ra and ED and 10% for TWR and MDR, the optimal setting is CL 15 ton, I p 2 A, T on 100 µs, with TWR 50.21 mg/min, MDR 1.95 mg/min, Ra 3.67 µm and ED 35.44 µm. Surface characterization via FESEM confirms particle transfer and clustering under low-energy conditions, while random deposition occurs at higher energy levels. EDS and mapping analysis further confirm tool particle transfer, which enhances mechanical and physical properties.

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Publication Details

Journal
Surface Engineering
Published
2025-03-01
DOI
https://doi.org/10.1177/02670844251340356
Citations
5
Primary Topic
Advanced Machining and Optimization Techniques
Type
article
Field-Weighted Citation Impact
3.65
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article

Parametric study on selective surface modification in EDM using TOPSIS

Rashed Mustafa Mazarbhuiya, Maneswar Rahang, Dhinakaran Veeman, Subhankar Saha
5 citations
Surface Engineering
Advanced Machining and Optimization Techniques
3.65
article

Parametric study on selective surface modification in EDM using TOPSIS

Rashed Mustafa Mazarbhuiya, Maneswar Rahang, Dhinakaran Veeman, Subhankar Saha
article en
5 citations

Abstract

This study investigates pattern generation by selective surface modification through the analysis of individual machining parameters and Multi Criteria Decision Making (MCDM) method specifically TOPSIS to optimize output parameters based on the weightage of the responses. The results reveal that TWR and MDR rise with I p and T on at any CL of the green compact tool. Similarly, the Ra and ED increase with an increase in I p and T on at any CL setting. With equal weightage for all responses, the optimal setting is at CL 10 ton, I p 3 A, T on 400 µs, resulting in TWR 75.19 mg/min, MDR 6.59 mg/min, Ra 6.10 µm and ED 49.53 µm. Whereas, for weightage of 40% for Ra and ED and 10% for TWR and MDR, the optimal setting is CL 15 ton, I p 2 A, T on 100 µs, with TWR 50.21 mg/min, MDR 1.95 mg/min, Ra 3.67 µm and ED 35.44 µm. Surface characterization via FESEM confirms particle transfer and clustering under low-energy conditions, while random deposition occurs at higher energy levels. EDS and mapping analysis further confirm tool particle transfer, which enhances mechanical and physical properties.

Surface EngineeringVol. 41(3)
Techno India University (IN), National Institute of Technology Meghalaya (IN)
Openalex Percentile: Top 7%
Advanced Machining and Optimization Techniques
3.65
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Parametric study on selective surface modification in EDM using TOPSIS — Rashed Mustafa Mazarbhuiya, Maneswar Rahang, et al. · Surface Engineering (2025) | TGRS Research Map | TGRS