LAUSR

Abstract Inhalable particulate matter, especially PM 2.5 , is a main pollutant in China that is harmful to both human health and the atmosphere. The PM 2.5 removal efficiency of traditional dust removal devices such as ESP is low, and pretreatment must be conducted before dust enters the dust remover. Acoustic agglomeration is a pretreatment technology that uses high-intensity sound waves to agglomerate and develop fine particles; this method improves the PM 2.5 removal efficiency of traditional dust removal devices. In a sound wave field, fine particles are carried by a medium (air in this study) and vibrate at different amplitudes when they vary in size. Thus, relative movement is generated and subsequently, particles increasingly collide and agglomerate. In this study, the movements of differently sized particles in traveling and standing wave sound fields are calculated, including the velocities, displacements, and amplitudes. Re