Scholarlink

This study introduces an in-line on-machine monitoring system for cutting tools, focusing on flank wear analysis using artificial intelligence and computer vision techniques. By integrating a smart camera capable of executing AI algorithms, this system aims to improve machining efficiency by accurately detecting tool wear during the milling process. This approach supports the goals of Industry 4.0 by reducing machine downtime and maintenance costs, maximi-zing tool life, and contributing to the advancement of smart manufacturing.

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

On-Machine Flank Wear Analysis in Cutting Tools Using Artificial Intelligence

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Ehsan Karimi,
  • Florian Alexander Schindler,
  • Volker Schulze

摘要

This study introduces an in-line on-machine monitoring system for cutting tools, focusing on flank wear analysis using artificial intelligence and computer vision techniques. By integrating a smart camera capable of executing AI algorithms, this system aims to improve machining efficiency by accurately detecting tool wear during the milling process. This approach supports the goals of Industry 4.0 by reducing machine downtime and maintenance costs, maximi-zing tool life, and contributing to the advancement of smart manufacturing.