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Purpose <p>The manufacturing sector continuously strives for enhanced productivity, reduced maintenance, and superior precision in sawing operations, all while effectively managing the inherent noise and vibrations generated during cutting. This study models and simulates the impact of the cutting environment by systematically varying key machining parameters, including feed rate, depth of cut, and cutting speed.</p> Methods <p>Using ANSYS Workbench for explicit dynamic analysis, the cutting process was simulated, and a hybrid analysis combining cutting process simulation with harmonic analysis was conducted to represent the noise and vibration environment accurately.</p> Results <p>The findings demonstrate a direct correlation between material properties and noise levels, with harder and stronger materials exhibiting higher sound pressure levels, as evidenced by marble producing the most noise, followed by stainless steel, mild steel, and aluminum.</p> Conclusion <p>This comprehensive approach, encompassing the identification of noise characteristics linked to machining parameters and material properties, alongside ANSYS simulations of modal, harmonic response, and harmonic acoustics, provides a profound understanding of sound generation, transmission, and absorption within the system. Ultimately, the research highlights that optimizing cutting parameters, refining tool design, and implementing noise reduction equipment are crucial strategies for achieving a quieter and safer working environment.</p>

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Modeling and Simulation of Noise and Vibration in Sawing Operations: Impact of Machining Parameters and Material Properties

  • 期刊论文

  • 发表日期：

    2026年2月20日

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  • Atul Vasant Karanjkar,
  • Shahnawazkhan S. Pathan

摘要

Purpose

The manufacturing sector continuously strives for enhanced productivity, reduced maintenance, and superior precision in sawing operations, all while effectively managing the inherent noise and vibrations generated during cutting. This study models and simulates the impact of the cutting environment by systematically varying key machining parameters, including feed rate, depth of cut, and cutting speed.

Methods

Using ANSYS Workbench for explicit dynamic analysis, the cutting process was simulated, and a hybrid analysis combining cutting process simulation with harmonic analysis was conducted to represent the noise and vibration environment accurately.

Results

The findings demonstrate a direct correlation between material properties and noise levels, with harder and stronger materials exhibiting higher sound pressure levels, as evidenced by marble producing the most noise, followed by stainless steel, mild steel, and aluminum.

Conclusion

This comprehensive approach, encompassing the identification of noise characteristics linked to machining parameters and material properties, alongside ANSYS simulations of modal, harmonic response, and harmonic acoustics, provides a profound understanding of sound generation, transmission, and absorption within the system. Ultimately, the research highlights that optimizing cutting parameters, refining tool design, and implementing noise reduction equipment are crucial strategies for achieving a quieter and safer working environment.