Optimization of Wire Electrical Discharge Machining Parameters for Cupronickel Using Taguchi-Based Grey Relational Analysis

<div class="section abstract"><div class="htmlview paragraph">Wire Electrical Discharge Machining (WEDM) is an important method engaged to make intricate shapes in conductive materials like Cupronickel, which is well-known for its ability to resist corrosion and conduct heat. The intention of this exploration is to enhance the effectiveness and accuracy of Wire Electrical Discharge Machining (WEDM) for Cupronickel material by utilizing a Taguchi-based Grey Relational Analysis (GRA). The study examines the impact of WEDM parameters, specifically pulse-on time, pulse-off time, and discharge current, on key machining outcomes such as surface roughness (Ra), material removal rate (MRR). A comprehensive dataset is generated for analysis through a systematic series of experiments designed using the Taguchi method. Grey relational grades are assessed to measure the connections between the input parameters and machining responses, making it easier to determine the best parameter settings. The Taguchi-based GRA approach provides a systematic approach for optimizing multiple responses, taking into account the conflicting nature of objectives. The results of this study help improve the efficiency of WEDM processes for Cupronickel material by providing information on the sensitivity and interaction of parameters. Manufacturers can improve machining efficiency and quality while reducing production costs by identifying the most effective parameter combinations. The Taguchi-based Grey Relational Analysis is a reliable method for optimizing parameters in Wire Electrical Discharge Machining (WEDM). It provides manufacturers with a valuable tool to enhance productivity and quality in machining operations involving Cupronickel material. This study improves the comprehension of WEDM procedures and offers practical recommendations for attaining exceptional machining results in different engineering fields.</div></div>

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Publication Details

Journal
SAE technical papers on CD-ROM/SAE technical paper series
Published
2024-12-04
DOI
https://doi.org/10.4271/2024-28-0235
Primary Topic
Advanced Machining and Optimization Techniques
Type
article
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article

Optimization of Wire Electrical Discharge Machining Parameters for Cupronickel Using Taguchi-Based Grey Relational Analysis

Thejasree Pasupuleti, R Silambarasan, Jothi Kiruthika, Mude Ramesh Naik et al.
SAE technical papers on CD-ROM/SAE technical paper series
Advanced Machining and Optimization Techniques
article

Optimization of Wire Electrical Discharge Machining Parameters for Cupronickel Using Taguchi-Based Grey Relational Analysis

Thejasree Pasupuleti, R Silambarasan, Jothi Kiruthika, Mude Ramesh Naik, Manikandan Natarajan
article en

Abstract

<div class="section abstract"><div class="htmlview paragraph">Wire Electrical Discharge Machining (WEDM) is an important method engaged to make intricate shapes in conductive materials like Cupronickel, which is well-known for its ability to resist corrosion and conduct heat. The intention of this exploration is to enhance the effectiveness and accuracy of Wire Electrical Discharge Machining (WEDM) for Cupronickel material by utilizing a Taguchi-based Grey Relational Analysis (GRA). The study examines the impact of WEDM parameters, specifically pulse-on time, pulse-off time, and discharge current, on key machining outcomes such as surface roughness (Ra), material removal rate (MRR). A comprehensive dataset is generated for analysis through a systematic series of experiments designed using the Taguchi method. Grey relational grades are assessed to measure the connections between the input parameters and machining responses, making it easier to determine the best parameter settings. The Taguchi-based GRA approach provides a systematic approach for optimizing multiple responses, taking into account the conflicting nature of objectives. The results of this study help improve the efficiency of WEDM processes for Cupronickel material by providing information on the sensitivity and interaction of parameters. Manufacturers can improve machining efficiency and quality while reducing production costs by identifying the most effective parameter combinations. The Taguchi-based Grey Relational Analysis is a reliable method for optimizing parameters in Wire Electrical Discharge Machining (WEDM). It provides manufacturers with a valuable tool to enhance productivity and quality in machining operations involving Cupronickel material. This study improves the comprehension of WEDM procedures and offers practical recommendations for attaining exceptional machining results in different engineering fields.</div></div>

SAE technical papers on CD-ROM/SAE technical paper seriesVol. 1
Bharat Heavy Electricals (India) (IN)
Openalex Percentile: Top 80%
Advanced Machining and Optimization Techniques
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Optimization of Wire Electrical Discharge Machining Parameters for Cupronickel Using Taguchi-Based Grey Relational Analysis — Thejasree Pasupuleti, R Silambarasan, et al. · SAE technical papers on CD-ROM/SAE technical paper series (2024) | TGRS Research Map | TGRS