Particle-laden flows are commonly encountered in numerous engineering applications, eg
fluidization, crystallization, granulation, drying, catalytic cracking, food processing, biomass …

Efficient modeling and simulation of uncertainties in computational fluid dynamics (CFD)
remains a crucial challenge. In this paper, we present the first stochastic Galerkin (SG) lattice …

The exhaust from combustion engines contains particulate matter (PM), which poses
potential health risks to human lungs. Current emission laws place increasingly strict …

In this paper, a diffuse-interface lattice Boltzmann method (DI-LBM) is developed for fluid–
particle interaction problems. In this method, the sharp interface between the fluid and solid …

The shape of particles has a significant influence on the behavior of suspensions, as the
particle-fluid, particle-particle, and particle-wall interactions depend on it. However, the …

This study aims to consider lattice Boltzmann method (LBM)–magnetohydrodynamics (MHD)
data to develop equations to predict the average rate of heat transfer quantitatively. The …

Wall-flow particulate filters are used for particulate matter removal from exhaust in
aftertreatment systems of combustion engines. Inside these filters, the gas flow passes …

Abstract As the Direct Recycling of Lithium-ion batteries may become imperative, centrifugal
separation of electrode materials is studied as a potential key process step. The focus here …

The homogenized lattice Boltzmann method (HLBM) has emerged as a flexible
computational framework for studying particulate flows, providing a monolithic approach to …

A detailed knowledge of the influence of a particle's shape on its settling behavior is useful
for the prediction and design of separation processes. Models in the available literature …