Hybrid robots combine the attributes of articulated robots and CNC machine tools, offering significant advantages in speed, rigidity, and accessible workspace. Utilizing hybrid robots as manufacturing equipment presents an effective solution for on-site machining of large and complex parts. Implementing integrated monitoring and control during the machining process further ensures efficient and high-quality on-site machining. The process begins with the collection of signal data from the machining process of the hybrid robot through external and internal sensors. Subsequently, the signal undergoes processing and analysis in real-time based on three distinct monitoring models for tool wear, chatter, and machining quality. Subsequently, control decisions are made, applying various compensation methods for different abnormalities in the Machining Process. This approach effectively resolves potential issues during the machining process, ensuring the reliability and stability of the manufacturing system, thereby enhancing machining quality and accuracy, and elevating the level of intelligence in the hybrid robot manufacturing process.

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Integrated Monitoring and Intelligent Control in the Machining Process of Hybrid Robot

  • Jiaojiao Li,
  • Yanliang Sheng,
  • Guofeng Wang,
  • Yuhang Li,
  • Zhiwei Guan

摘要

Hybrid robots combine the attributes of articulated robots and CNC machine tools, offering significant advantages in speed, rigidity, and accessible workspace. Utilizing hybrid robots as manufacturing equipment presents an effective solution for on-site machining of large and complex parts. Implementing integrated monitoring and control during the machining process further ensures efficient and high-quality on-site machining. The process begins with the collection of signal data from the machining process of the hybrid robot through external and internal sensors. Subsequently, the signal undergoes processing and analysis in real-time based on three distinct monitoring models for tool wear, chatter, and machining quality. Subsequently, control decisions are made, applying various compensation methods for different abnormalities in the Machining Process. This approach effectively resolves potential issues during the machining process, ensuring the reliability and stability of the manufacturing system, thereby enhancing machining quality and accuracy, and elevating the level of intelligence in the hybrid robot manufacturing process.