Experimental Study Of Fly Ash Inhalable Particles Agglomeration On The Acoustic Field

Inhalable particles from coal combustion have adverse impact on environment and human health. Acoustic agglomeration is an effective preconditioning technology. It can promote fine particle collision agglomeration when subjected to the external acoustic, and the average particle size is increased. Then the inhalable particles will be removed through the traditional particle filtering devices. However, the investigations on acoustic agglomeration haven’t obtained an accepted conclusion because of the different experimental conditions and the operating parameters. Thus, a further study is needed about acoustic agglomeration.The article firstly designed and built acoustic agglomeration experiment platform, then chose the appropriate measuring instrument to compare the agglomeration effect in high frequency and low frequency. Result showed that low frequency was more effective for acoustic agglomeration. The corresponding optimum agglomeration parameters were obtained by changing the sound intensity, initial concentration of particles and the residence time. The acoustic agglomeration phenomenon was also verified by observing the microstructure of the scanning electron microscope.Then, the mathematical model was established in the mechanism of the combined interaction of orthokinetic agglomeration and hydrodynamic by discussing the effect of different kernel functions on acoustic agglomeration. Quadrature method of moments (QMOM) was employed to solve the equation. The simulation results could offer the optimum frequency range for the process of acoustic agglomeration in different initial particle size distribution. Thus it could obtain the optimum frequency of different initial particle size distribution. It also provided theoretical basis for the efficient removal of particles in the industrial application.