## THERMAL SCIENCE

International Scientific Journal

### Thermal Science - Online First

online first only
### Simulating flow and heat transfer in a variety of diesel particulate filter porous structures using lattice Boltzmann method

**ABSTRACT**

Particulate matter (PM) has important influences on premature human mortality. Diesel particulate filter (DPF) is one of the most effective means to reduce PM in exhaust gas. In order to study the three-dimensional flow characteristics of DPF porous structure, lattice Boltzmann method (LBM) is used to study the flow and heat transfer characteristics of different structures. In some software, the spherical structure is used as DPF porous structure. In paper, the spherical structure, the Quartet Structure Generation Set (QSGS) structure and the CT technique structure are constructed. The CT technique structure is constructed by the serial sections of DPF porous structure. The flow and heat transfer characteristics in different structures were simulated by LBM. The three-dimensional CT technique structure is constructed by superposing the serial section data of DPF. The results show that the pressure gradient and temperature gradient of structures are greatly affected by the structure. The pressure gradient and temperature gradient of the spherical structure is the lowest. The spherical structure and the QSGS structure are different from the porous structure of DPF in pressure gradient and temperature gradient. By comparing different structures, it can be seen that although the pressure gradients of the CT technique structure and the QSGS structure are similar, the temperature gradient of the two structures are more different.

**KEYWORDS**

PAPER SUBMITTED: 2021-11-15

PAPER REVISED: 2022-03-02

PAPER ACCEPTED: 2022-03-16

PUBLISHED ONLINE: 2022-04-09

- Souza, E., et al., Multi-elemental analysis of particulate matter PM2.5 and PM10 by ICP OES, Talanta, 221 (2020), DOI NO. 10.1016/j.talanta.2020.121457
- Leonardo, B., et al., Particulate matter and COVID-19 excess deaths: Decomposing long-term exposure and short-term effects, Ecological Economics, 194 (2022), DOI NO. 10.1016/j.ecolecon.2022.107340
- Pierre, D., et al., Improvement of SiC DPF Control Strategies for Uncontrolled Regenerations with the Aid of Quasi 3D DPF Model, SAE International Journal of Fuels and Lubricants, 1 (2008), 1, pp. 1362-1372
- Zuo, Q., et al., Comprehensive analysis on influencing factors of composite regeneration performance of a diesel particulate filter, Environmental Progress & Sustainable Energy, 35 (2015), 3, pp. 882-890
- Balasubramanian, K., et al., Darcys law from lattice-gas hydrodynamics, Physical Review A, 36 (1987), 5, pp. 2248-2253
- Asadi, A., et al., Heat transfer enhancement inside channel by using the lattice boltzmann method, Thermal Science, 25 (2020), pp. 96-96.
- Liang, G., et al., Study on droplet nucleation position and jumping on structured hydrophobic surface using the lattice boltzmann method, Thermal Science, 26 (2021), pp. 149-149
- Fu, J., et al., Study on Flow and Heat Transfer Characteristics of Porous Media in Engine Particulate Filters Based on Lattice Boltzmann Method, Energies, 12 (2019), 17, pp. 3319
- Wu, C., et al., Random pore structure and rev scale flow analysis of engine particulate filter based on lbm, Open Physics, (2021), DOI NO. 10.1515/phys-2020-0208
- Kong, X., et al., Simulation of Flow and Soot Particle Distribution in Wall-Flow DPF Based on Lattice Boltzmann Method, Chemical Engineering Science, 202 (2019), pp. 169-185
- Lee, D. Y., et al., Lattice Boltzmann simulations for wall-flow dynamics in porous ceramic diesel particulate filters, Applied Surface Science, 429 (2018), pp. 72-80
- Hayashi, H. and Kubo, S., Computer simulation study on filtration of soot particles in diesel particulate filter, Computers & Mathematics with Applications, 55 (2008), 7, pp. 1450-1460
- Matte-DeschĂȘnes, G., et al., Numerical investigation of the impact of thermophoresis on the capture efficiency of diesel particulate filters, The Canadian Journal of Chemical Engineering, 94 (2016), 2, pp. 291-303
- Vidal, D., et al., Simulation of the impact of thermophoresis on the capture efficiency of diesel particulate filters, The Canadian Journal of Chemical Engineering, 94 (2015), 2, 22396
- Tsushima, S., et al., Lattice Boltzmann Simulation on Particle Transport and Captured Behaviors in a 3D-Reconstructed Micro Porous DPF, SAE Technical Paper Series, 1 (2010), 0534
- Yamamoto, K. and Sakai, T., Effect of Pore Structure on Soot Deposition in Diesel Particulate Filter, Computation, 4 (2016), 4, pp. 46
- Mei R, et al., Lattice Boltzmann Method for 3-D Flows with Curved Boundary, Journal of Computational Physics, 161 (2000), 2, pp. 680-699
- Guo, Z., et al., Non-equilibrium extrapolation method for velocity and pressure boundary conditions in the lattice Boltzmann method, Chinese Physics, 11 (2002), 4, pp. 366-374
- Dilip, K. V., et al., Incineration of diesel particulate matter using induction heating technique, Applied Energy, 88 (2011), 3, pp. 938-946
- Jiang, B., et al., Large-scale computation of incompressible viscous flow by least-squares finite element method, Computer Methods in Applied Mechanics & Engineering, 114 (1994), 3-4, pp. 213-231
- Wang, M, et al., Mesoscopic predictions of the effective thermal conductivity for microscale random porous media, Physical Review E, 75 (2007), 3, pp. 036702
- Lymberopoulos, D. and Payatakes, A., Derivation of topological, geometrical, and correlational properties of porous media from pore-chart analysis of serial section data, Journal of Colloid and Interface Science, 150 (1992), 1, pp. 61-80