Scholarlink

<p>As the demand for precision component manufacturing grows, grinding has emerged as a crucial process for attaining high precision and excellent surface quality. However, traditional grinding often lacks effective monitoring of the grinding wheel’s condition, which hinders the reliable assurance of the workpiece’s surface quality. Acoustic emission (AE) signals, known for their high sensitivity and real-time responsiveness, can detect subtle changes in the contact surface between the grinding wheel and workpiece instantaneously. Furthermore, their real-time response feature allows for early detection of grinding wheel conditions, thus preventing problems such as decreased machining accuracy, degraded surface quality, and potential machining failures due to excessive wheel wear. Consequently, employing AE signals for real-time monitoring of the grinding wheel condition is essential for ensuring workpiece quality and grinding efficiency. The manuscript systematically examines the latest research progress in acoustic emission technology for monitoring the condition of grinding wheels. Additionally, the manuscript concentrates on monitoring methods and characteristic features of wheel-workpiece contact and wheel wear states, examines the application mechanisms of AE signal processing, and summarizes the applications of this technology in intelligent monitoring. Finally, the development trends of acoustic emission technology in grinding wheel condition monitoring are discussed.</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

A review: Application of acoustic emission technology in grinding wheel condition monitoring

  • 期刊论文

  • 发表日期：

    2026年1月9日

查看全文
  • Qiulin Niu,
  • Binghui Wu,
  • Lu Jing,
  • Chenyi Zhu,
  • Jingyi Gao,
  • Shengfeng Zhang

摘要

As the demand for precision component manufacturing grows, grinding has emerged as a crucial process for attaining high precision and excellent surface quality. However, traditional grinding often lacks effective monitoring of the grinding wheel’s condition, which hinders the reliable assurance of the workpiece’s surface quality. Acoustic emission (AE) signals, known for their high sensitivity and real-time responsiveness, can detect subtle changes in the contact surface between the grinding wheel and workpiece instantaneously. Furthermore, their real-time response feature allows for early detection of grinding wheel conditions, thus preventing problems such as decreased machining accuracy, degraded surface quality, and potential machining failures due to excessive wheel wear. Consequently, employing AE signals for real-time monitoring of the grinding wheel condition is essential for ensuring workpiece quality and grinding efficiency. The manuscript systematically examines the latest research progress in acoustic emission technology for monitoring the condition of grinding wheels. Additionally, the manuscript concentrates on monitoring methods and characteristic features of wheel-workpiece contact and wheel wear states, examines the application mechanisms of AE signal processing, and summarizes the applications of this technology in intelligent monitoring. Finally, the development trends of acoustic emission technology in grinding wheel condition monitoring are discussed.