Digital simulation of agglomeration of solid particles formed during biodiesel combustion using DEM
Santrauka
The removal of harmful particulate matter (PM) is one of the most important tasks of environmental protection, as PM environmental pollution has a direct impact on human health. The greatest danger is caused by particles of type PM2.5, which, due to their small size, do not remain in the upper respiratory tract of a person; they can penetrate the deeper respiratory tract or lungs and settle there. [1]. Emissions from various vehicles have recently become one of the main pollutants of the atmosphere. When comparing gasoline and diesel engines, the latter have higher PM emissions. [2]. Therefore, ways to reduce the release of PM into the environment are constantly being sought. One such method would be acoustic agglomeration [3]. The aim of this work is to better understand the influence of particle concentration and frequency on the acoustic agglomeration time of biodiesel particles.