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The prevention and reduction of PM2.5 and other pollution particles is a major challenge environmental protection. The existing emission reduction methods are complex and costly, and secondary pollution needs to be dealt with. In this study, acoustic agglomeration technology is proposed to promote the accumulation of particles through acoustic waves. This method is environmentally friendly and efficient, and shows a good application prospect. Sound wave condensation technology promotes the relative movement of pollution particles through the strong sound field, and the fluid medium will produce periodic changes when the sound wave propagates. The difference in response of particles of different scales to this change leads to different motion speeds, and the collision polymerization probability between particles increases. After multiple collisions, the fine particles condense into larger particles, which settle under the action of gravity, effectively reducing the pollution particles in the air. The team carried out a simulation study, using the control variable method to explore the agglomeration efficiency of sound waves on particles under different working conditions. By applying acoustic waves with the same sound pressure level and different frequencies to particles, it is concluded that the effect of acoustic wave frequency on the agglomeration effect of particles is not a simple linear relationship, but there is an optimal frequency, which is between 600–1200 Hz, and the agglomeration effect of particles reaches the best in this frequency range. Then, the sound wave is controlled within the optimal frequency range, and the sound wave with different sound pressure levels is applied to the particles. The experimental results show that the sound pressure level is positively correlated with the condensation efficiency of the pollution particles, but its increase is not linear. When the sound pressure level is lower than 140 dB, the increase in condensation efficiency of pollution particles is not significant for each increase of 10 dB. Finally, the team designed the relevant device for experimental demonstration, which proved the correctness of the simulation conclusion and the reality of the method.

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Investigation on the Condensation Effect of Particulate Matter Under the Action of Sound Waves in Different Working Conditions

  • 会议论文

  • 发表日期：

    2025年

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  • Tianli Jiang,
  • Xiang Gao,
  • Donglin Yang,
  • Lintao Qi,
  • Jin Wang

摘要

The prevention and reduction of PM2.5 and other pollution particles is a major challenge environmental protection. The existing emission reduction methods are complex and costly, and secondary pollution needs to be dealt with. In this study, acoustic agglomeration technology is proposed to promote the accumulation of particles through acoustic waves. This method is environmentally friendly and efficient, and shows a good application prospect. Sound wave condensation technology promotes the relative movement of pollution particles through the strong sound field, and the fluid medium will produce periodic changes when the sound wave propagates. The difference in response of particles of different scales to this change leads to different motion speeds, and the collision polymerization probability between particles increases. After multiple collisions, the fine particles condense into larger particles, which settle under the action of gravity, effectively reducing the pollution particles in the air. The team carried out a simulation study, using the control variable method to explore the agglomeration efficiency of sound waves on particles under different working conditions. By applying acoustic waves with the same sound pressure level and different frequencies to particles, it is concluded that the effect of acoustic wave frequency on the agglomeration effect of particles is not a simple linear relationship, but there is an optimal frequency, which is between 600–1200 Hz, and the agglomeration effect of particles reaches the best in this frequency range. Then, the sound wave is controlled within the optimal frequency range, and the sound wave with different sound pressure levels is applied to the particles. The experimental results show that the sound pressure level is positively correlated with the condensation efficiency of the pollution particles, but its increase is not linear. When the sound pressure level is lower than 140 dB, the increase in condensation efficiency of pollution particles is not significant for each increase of 10 dB. Finally, the team designed the relevant device for experimental demonstration, which proved the correctness of the simulation conclusion and the reality of the method.