Scholarlink

<p>Wire electrical discharge machining (W-EDM) often leaves recast layers, debris, and micro-cracks on machined surfaces. This work uses magnetic abrasive finishing (MAF) with periodic redistribution of magnetic abrasive particles to remove these residues from the plane surfaces of 17-4PH steel. An in-house developed MAF setup was used to examine the effects of rotational speed, mesh number (MN), and DC supply voltage on performance parameters, namely the percentage change in surface roughness (PCSR) and change in recast layer thickness (CRLT). A Taguchi L9 design identified optimal conditions of 800 RPM, 600 MN, 24 V and 800 RPM, 400 MN, 24 V to achieve a maximum PCSR of 83.64 % and a CRLT reduction of 8.96 µm. Analysis of variance revealed that voltage was the most crucial factor, contributing 75.69 % to the reduction in CRLT. Regression models for PCSR and CRLT showed errors of 6.81 % and 2.34 %, respectively, validating predictive accuracy. Results demonstrate the effectiveness of MAF for post-processing W-EDM machined surfaces.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Post-processing of W-EDM surface of 17-4PH steel using magnetic abrasive finishing with periodic redistribution of MAPs

  • 期刊论文

  • 发表日期：

    2025年5月31日

查看全文
  • Rahul Kumar,
  • Venkateswara Rao Komma

摘要

Wire electrical discharge machining (W-EDM) often leaves recast layers, debris, and micro-cracks on machined surfaces. This work uses magnetic abrasive finishing (MAF) with periodic redistribution of magnetic abrasive particles to remove these residues from the plane surfaces of 17-4PH steel. An in-house developed MAF setup was used to examine the effects of rotational speed, mesh number (MN), and DC supply voltage on performance parameters, namely the percentage change in surface roughness (PCSR) and change in recast layer thickness (CRLT). A Taguchi L9 design identified optimal conditions of 800 RPM, 600 MN, 24 V and 800 RPM, 400 MN, 24 V to achieve a maximum PCSR of 83.64 % and a CRLT reduction of 8.96 µm. Analysis of variance revealed that voltage was the most crucial factor, contributing 75.69 % to the reduction in CRLT. Regression models for PCSR and CRLT showed errors of 6.81 % and 2.34 %, respectively, validating predictive accuracy. Results demonstrate the effectiveness of MAF for post-processing W-EDM machined surfaces.