Numerical modelling of particulate matter deposition in exhaust gas after-treatment systems
Licentiate thesis, 2018
In this work, we propose a suite of numerical tools that can be used for understanding PM deposition (including its transformation) in traditional after-treatment devices. First we undertake a system level modelling of PM deposition in exhaust after-treatment devices, such as diesel particulate filters (DPF's), using a computational fluid dynamics driven approach. We show that the results from a fully Eulerian simulation of the the PM deposition process (based on the assumption of inertia less inert particles) shows a lesser capture of PM than the actual experimental data. The noted disagreement can be attributed to the assumption of 'inert' particles while modelling the deposition. Consequently, a multiphase direct numerical simulation (DNS) technique, that can completely resolve the fluid scales as well as the inherent particle-fluid coupling, is identified as an alternative to model these reactive particulate flows. We formulate such a framework by coupling the extended Langevin description of the particle with a mirroring Immersed boundary method. Further, to get an accurate resolution of the particle dynamics, we solve for it using a finite element based rigid body solver. This entire method (referred to as the IB-FSI framework) is implemented in the in-house immersed boundary code IPS IBOFlow. We analyse the consequences of resolving Brownian motion in an unbounded domain using this framework and evaluate the diffusion dynamics (mean squared displacements, velocity auto-correlation functions and diffusivities) of a spherical transported particle, in relation to the conventional Langevin treatment. Moreover, we demonstrate the applicability of such a method to resolve the Brownian dynamics of PM aerosols with particle densities comparable to a real soot-particle. We finally extend this framework to describe fractal like soot PM in unbounded domains.
Immersed boundary method
PM transformation and Rarefied gas
Ananda Subramani Kannan
Chalmers, Mechanics and Maritime Sciences, Fluid Dynamics
Near-wall dispersion, deposition and transformation of particles in automotive exhaust gas aftertreatment systems
International Journal of Heat and Fluid Flow,; Vol. 70(2018)p. 171-180
Ananda Subramani Kannan, Vasileios Naserentin, Andreas Mark, Dario Maggiolo, Gaetano Sardina, Srdjan Sasic, and Henrik Ström. “A novel multiphase DNS method for the resolution of Brownian motion of soot-like particles in a rarefied gas using a continuum framework”
A continuum model for Brownian motion in rarefied gas-solid flows
Swedish Research Council (VR), 2016-01-01 -- 2019-12-31.
Fluid Mechanics and Acoustics
Thesis for the degree of Licentiate – Department of Mechanics and Maritime Sciences
Chalmers University of Technology
ED Lecture hall
Opponent: Prof. Bernhard Mehlig, Department of Physics, Göteborgs Universitet, Sweden.