Optimizing WEDM Parameters for Aluminum Metal Matrix Composites Using Hybrid PSO-TOPSIS Approach

This study investigates the influence of processing conditions during wire electro-discharge machining (WEDM) of aluminum matrix composites (AMCs) using advanced optimization techniques, namely particle swarm optimization (PSO) and the technique for order preference by similarity to ideal solution (TOPSIS). Key WEDM parameters– pulse-on time, pulse-off time, wire feed rate and reinforcement percentage — were analyzed for their effects on cutting rate (CR), kerf width (KW) and surface roughness (SR). Microstructural examination confirmed the absence of intermetallic compounds around rice husk ash particles, and the cast AMCs exhibited no defects such as porosity or inclusions. Optimization using PSO and TOPSIS yielded highly consistent results, with minimal deviations (3.1–3.5%) between the two methods. The optimal parameters were determined as pulse-on time: 14 [Formula: see text]s, pulse-off time: 52[Formula: see text]s, wire feed rate: 6 m/min, and reinforcement: 4 wt.%. These settings significantly enhanced machining performance, demonstrating the robustness of the proposed approach. The study provides critical insights into optimizing WEDM for AMCs, ensuring improved efficiency and precision in industrial applications.

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Publication Details

Journal
Journal of Advanced Manufacturing Systems
Published
2025-05-09
DOI
https://doi.org/10.1142/s0219686726500241
Primary Topic
Advanced Machining and Optimization Techniques
Type
article
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article

Optimizing WEDM Parameters for Aluminum Metal Matrix Composites Using Hybrid PSO-TOPSIS Approach

Mohammad Mohsin Khan, Abhijit Dey
Journal of Advanced Manufacturing Systems
Advanced Machining and Optimization Techniques
article

Optimizing WEDM Parameters for Aluminum Metal Matrix Composites Using Hybrid PSO-TOPSIS Approach

Mohammad Mohsin Khan, Abhijit Dey
article en

Abstract

This study investigates the influence of processing conditions during wire electro-discharge machining (WEDM) of aluminum matrix composites (AMCs) using advanced optimization techniques, namely particle swarm optimization (PSO) and the technique for order preference by similarity to ideal solution (TOPSIS). Key WEDM parameters– pulse-on time, pulse-off time, wire feed rate and reinforcement percentage — were analyzed for their effects on cutting rate (CR), kerf width (KW) and surface roughness (SR). Microstructural examination confirmed the absence of intermetallic compounds around rice husk ash particles, and the cast AMCs exhibited no defects such as porosity or inclusions. Optimization using PSO and TOPSIS yielded highly consistent results, with minimal deviations (3.1–3.5%) between the two methods. The optimal parameters were determined as pulse-on time: 14 [Formula: see text]s, pulse-off time: 52[Formula: see text]s, wire feed rate: 6 m/min, and reinforcement: 4 wt.%. These settings significantly enhanced machining performance, demonstrating the robustness of the proposed approach. The study provides critical insights into optimizing WEDM for AMCs, ensuring improved efficiency and precision in industrial applications.

Journal of Advanced Manufacturing SystemsVol. 25(03)
National Institute of Technology Srinagar (IN)
Openalex Percentile: Top 92%
Advanced Machining and Optimization Techniques
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Optimizing WEDM Parameters for Aluminum Metal Matrix Composites Using Hybrid PSO-TOPSIS Approach — Mohammad Mohsin Khan, Abhijit Dey · Journal of Advanced Manufacturing Systems (2025) | TGRS Research Map | TGRS