{"title":"A Comparative Study of Die-Sinking and Near-Dry EDM Using MADM-Based Parameter Optimization","authors":"Ajit, Deepak Kumar Bhalla, Sanjay Sundriyal","doi":"10.1007/s12647-025-00864-4","DOIUrl":null,"url":null,"abstract":"<div><p>Near-dry electric discharge machining (ND-EDM) has emerged as an advanced and sustainable technique for precision machining of hard and resilient materials. This study investigates the ND-EDM of EN-31 steel with the objective of optimizing key performance characteristics, including material removal rate (MRR), surface roughness (SR), residual stress (RS), and microhardness (MH). The influence of discharge current, pulse on/off time, gap voltage, and mist pressure was systematically examined using an L27 orthogonal array. Experimental results were analyzed through Taguchi-based Grey Relational Analysis (GRA) in combination with Analysis of Variance (ANOVA) to identify significant process factors. Furthermore, an objective weighting methodology incorporating standard deviation and multi-attribute decision-making (MADM) optimization was employed to establish the most favorable parameter combination. The results confirmed that the <b>A1B1C1D1</b> setup yielded the most balanced machining performance, achieving higher productivity with improved surface integrity. The integration of MADM with ND-EDM provides a novel framework for sustainable machining optimization, demonstrating clear industrial advantages over conventional die-sinking EDM.</p></div>","PeriodicalId":689,"journal":{"name":"MAPAN","volume":"40 4","pages":"1075 - 1096"},"PeriodicalIF":1.3000,"publicationDate":"2025-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"MAPAN","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s12647-025-00864-4","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"INSTRUMENTS & INSTRUMENTATION","Score":null,"Total":0}
引用次数: 0
Abstract
Near-dry electric discharge machining (ND-EDM) has emerged as an advanced and sustainable technique for precision machining of hard and resilient materials. This study investigates the ND-EDM of EN-31 steel with the objective of optimizing key performance characteristics, including material removal rate (MRR), surface roughness (SR), residual stress (RS), and microhardness (MH). The influence of discharge current, pulse on/off time, gap voltage, and mist pressure was systematically examined using an L27 orthogonal array. Experimental results were analyzed through Taguchi-based Grey Relational Analysis (GRA) in combination with Analysis of Variance (ANOVA) to identify significant process factors. Furthermore, an objective weighting methodology incorporating standard deviation and multi-attribute decision-making (MADM) optimization was employed to establish the most favorable parameter combination. The results confirmed that the A1B1C1D1 setup yielded the most balanced machining performance, achieving higher productivity with improved surface integrity. The integration of MADM with ND-EDM provides a novel framework for sustainable machining optimization, demonstrating clear industrial advantages over conventional die-sinking EDM.
期刊介绍:
MAPAN-Journal Metrology Society of India is a quarterly publication. It is exclusively devoted to Metrology (Scientific, Industrial or Legal). It has been fulfilling an important need of Metrologists and particularly of quality practitioners by publishing exclusive articles on scientific, industrial and legal metrology.
The journal publishes research communication or technical articles of current interest in measurement science; original work, tutorial or survey papers in any metrology related area; reviews and analytical studies in metrology; case studies on reliability, uncertainty in measurements; and reports and results of intercomparison and proficiency testing.