Particle Deposition Pattern on an Automotive Diesel Filter Using an Eulerian Probability Density Function Method-Reference-Cited by-同舟云学术

Particle Deposition Pattern on an Automotive Diesel Filter Using an Eulerian Probability Density Function Method

Published:2023-04-04 Issue:4 Volume:11 Page:1100
ISSN:2227-9717
Container-title:Processes
language:en
Short-container-title:Processes

Author:

Valiño Luis¹^ORCID,Mustata Radu¹^ORCID,Hierro Juan²^ORCID,Hernández Juan Luis³,García María José³,Blasco Carlos³,Chen Yi-Tung⁴^ORCID,Chen Lung-Wen⁵^ORCID,Roy Prosun⁴⁵^ORCID

Affiliation:

1. ICB/CSIC, María de Luna 10, E-50018 Zaragoza, Spain

2. Centro Universitario de la Defensa, Carretera Huesca s/n, E-50090 Zaragoza, Spain

3. Robert Bosch España Gasoline Systems, Raso de la Estrella, s/n, E-28300 Aranjuez, Spain

4. Department of Mechanical Engineering, University of Nevada Las Vegas, 4505 S Maryland Pkwy, Las Vegas, NV 89154, USA

5. Department of Environmental and Occupational Health, University of Nevada Las Vegas, Harry Reid Center (HRC) for Environmental Studies, 4505 S Maryland Pkwy, Las Vegas, NV 89154, USA

Abstract

A full 3D numerical simulation of the two-phase flow made up of (bio)diesel and particles, has been carried out to reproduce the deposition pattern of particles in a BOSCH automotive filter. From a probability density function (PDF), a simple Eulerian-Eulerian two-phase model is proposed for diesel and particles. The proposed formulation allows for a detailed description of the relationship between the velocity and size of the particles. A Brinkman-Darcy approximation has been considered for the flow through the filtering paper and is proved to be sufficient for the typical filter working conditions. The new tool is able to reproduce the deposition pattern shown by the used filters.

Funder

CENIT PIIBE

Publisher

MDPI AG

Subject

Process Chemistry and Technology,Chemical Engineering (miscellaneous),Bioengineering

Link

https://www.mdpi.com/2227-9717/11/4/1100/pdf

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