Scholarlink

<p>The present investigation explores the surface analysis of ultrasonic machining (USM) of Rene 41 alloy using atomic force microscopy (AFM). Rene 41 alloy is machined by USM with various input constraints such as slurry concentration, power rating and grit size. The surface morphology was analyzed by scanning electron microscopy (SEM) with different level of input factors. The different AFM images are attained by various levels of input constraints. The different surface factors are analyzed using AFM image. Grit size was the most powerful factor (81.40%) on metal removal rate. The average roughness value of 40.84&#xa0;nm was measured at power rating of 300&#xa0;W with a slurry concentration of 20% and a grit size of 200. The machined surface was excellent in lower power rating of the USM process. The AFM analysis clearly shows the creation of peaks and valleys on the surface of the specimen with different input parameters during turning process.</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

Surface characterization of Rene 41 alloy using ultrasonic machining: an AFM and SEM approach

  • 期刊论文

  • 发表日期：

    2026年4月22日

查看全文
  • P. Sivaraman,
  • M. Vinoth Kumar,
  • A. V. G. A. Marthanda,
  • K. Perumal,
  • R. Ramkumar,
  • T. Kumaravel

摘要

The present investigation explores the surface analysis of ultrasonic machining (USM) of Rene 41 alloy using atomic force microscopy (AFM). Rene 41 alloy is machined by USM with various input constraints such as slurry concentration, power rating and grit size. The surface morphology was analyzed by scanning electron microscopy (SEM) with different level of input factors. The different AFM images are attained by various levels of input constraints. The different surface factors are analyzed using AFM image. Grit size was the most powerful factor (81.40%) on metal removal rate. The average roughness value of 40.84 nm was measured at power rating of 300 W with a slurry concentration of 20% and a grit size of 200. The machined surface was excellent in lower power rating of the USM process. The AFM analysis clearly shows the creation of peaks and valleys on the surface of the specimen with different input parameters during turning process.