Modeling of dynamic deposition and filtration processes of airborne particles by a single fiber with a coupled lattice Boltzmann and discrete element method. (September 2016)

• Record Type: Journal Article
• Authors: Cai, Rong-Rong; Zhang, Li-Zhi
• Is Part Of: Building and environment. Volume 106(2016)
• Page Start: 274
• Page End: 285
• Publication Date: 2016-09
• Subjects: Airborne particle -- Dynamic deposition -- Adhesion -- Lattice Boltzmann -- Discrete element method; Buildings -- Environmental engineering -- Periodicals; Building -- Research -- Periodicals; Constructions -- Technique de l'environnement -- Périodiques; Electronic journals; 696
• DOI: 10.1016/j.buildenv.2016.07.001
• Languages: English
• ISSNs: 0360-1323

Abstract

Abstract: Airborne particulate matter (PM) pollution has caused many deleterious effects on atmospheric environment and people's health. Fiber filtration has been regarded as one of the efficient and economical ways for removing particles from gas streams. To reveal the dynamic capture processes of airborne particles by fibrous filters, and their effects on filtration performance, a lattice Boltzmann modeling approach coupled with discrete element method (LB-DEM), is used for simulations of airborne particle deposition on an individual fiber. The mutual influences between the dynamic particle transport/deposition and the fluid flow are considered. The model well predicts the formation of the dendrites and the dynamic progression of the deposit under different capture mechanisms. The adhesion parameter is proved to have a dominant effect on the dynamic deposition processes and filtration performance. Increases in adhesion parameter lead to looser particle dendrites, faster deposition rates and better filtration efficiencies. The smaller particles tend to have larger pressure drops and more compact dendrite structures at the same deposition mass. Graphical abstract: Modeling of dynamic particle deposition on a fiber with LBM and DEM method. Highlights: A Lattice Boltzmann Simulation combined with Discrete Element Method is used. Dendrites formation and deposit progression during dynamic filtration are predicted. Interactions between dynamic deposition and fluid flow are considered. Effects of adhesion parameter on dynamic filtration performance are revealed.