Study on the fast elimination of smoke particle based on electro-acoustic coupling agglomeration technology

Fire smoke, which consists large amounts of fine particles, is considered as the fatal factor in fires. In this study, a fast smoke particle elimination method based on electro-acoustic coupling agglomeration technology is proposed. First, the experimental results show that the electro-acoustic coupling agglomeration has higher smoke elimination efficiency compared to single-field. The smoke transmission is much less than 80% after 30 s of single acoustic or electric field action, while the coupled field reaches 90%. Then, the effects of acoustic frequency, sound pressure level and voltage on the smoke elimination characteristics are discussed. It is found that the optimal acoustic frequency is 1.5 kHz. While as the sound pressure level and voltage increase, the elimination efficiency first increases and then tends to stabilize, the critical values of the sound pressure level and voltage are 135 dB and 7 kV. This indicates that there is an optimal combination of the three variables. Finally, through the theoretical analysis of particle movement and the micro-morphology of agglomerates, the particle agglomeration mechanism under the electro-acoustic coupling is analyzed. This study provides a new idea for the fast elimination of fire smoke particle.

含有大量细颗粒物的火灾烟气，是火灾中公认的致命致因因素。本研究提出了一种基于电声耦合团聚（electro-acoustic coupling agglomeration）技术的快速烟气颗粒物消除方法。首先，实验结果表明，相较于单一场域，电声耦合团聚的烟气消除效率更高。单一声场或电场作用30秒后，烟气透过率远低于80%，而耦合场作用下的透过率可达90%。随后，本研究探讨了声波频率、声压级以及电压对烟气消除特性的影响。研究发现最优声波频率为1.5 kHz。随着声压级与电压的提升，烟气消除效率先升高后趋于平稳，其临界值分别为135 dB与7 kV。这表明上述三个变量存在最优组合方案。最后，通过对颗粒物运动及团聚体微观形貌的理论分析，本研究阐明了电声耦合作用下的颗粒物团聚机理。本研究为火灾烟气颗粒物的快速消除提供了全新的研究思路。