<p>The acoustic signal holds significant potential for tool wear monitoring. The position of the microphone sensor plays a crucial role in signal acquisition, making it essential to accurately understand the sound field within the machine tool. This study employs a finite element model based on the acoustic diffusion equation to analyze the propagation mechanisms of cutting sound inside a closed machine tool. The impact of amplitude and impedance on the sound field distribution is discussed by using a finite element model based on the Helmholtz equation. The results indicate that there exist both free and reverberant sound fields within the closed machine tool, and sound pressure level of the sound field increases with the amplitude of the sound source, as well as the wall impedance. This research provides a theoretical foundation for microphone sensor position and demonstrates significant practical value.</p>

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Modeling and Analysis of the Machining-Generated Audible Sound Field in the Closed Machine Space

  • Lei Yang,
  • Guochao Li,
  • Da Xie,
  • Anand Kumar,
  • Li Sun,
  • Xinhang Shang,
  • Jun Wu

摘要

The acoustic signal holds significant potential for tool wear monitoring. The position of the microphone sensor plays a crucial role in signal acquisition, making it essential to accurately understand the sound field within the machine tool. This study employs a finite element model based on the acoustic diffusion equation to analyze the propagation mechanisms of cutting sound inside a closed machine tool. The impact of amplitude and impedance on the sound field distribution is discussed by using a finite element model based on the Helmholtz equation. The results indicate that there exist both free and reverberant sound fields within the closed machine tool, and sound pressure level of the sound field increases with the amplitude of the sound source, as well as the wall impedance. This research provides a theoretical foundation for microphone sensor position and demonstrates significant practical value.