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Simulation of electrostatic particulate matter sensor regeneration based on the particulate deposition patterns.

Authors :
Liu, Jinxin
Wang, Huanqin
Sun, Qiang
Jiang, Chufan
Zhou, Jitong
Huang, Gehang
Yu, Fajun
Feng, Baolin
Source :
Sensor Review. 2024, Vol. 44 Issue 6, p783-793. 11p.
Publication Year :
2024

Abstract

Purpose: This study aims to establish a multi-physics-coupled model for an electrostatic particulate matter (PM) sensor. The focus lies on investigating the deposition patterns of particles within the sensor and the variation in the regeneration temperature field. Design/methodology/approach: Computational simulations were initially conducted to analyse the distribution of particles under different temperature and airflow conditions. The study investigates how particles deposit within the sensor and explores methods to expedite the combustion of deposited particles for subsequent measurements. Findings: The results indicate that a significant portion of the particles, approximately 61.8% of the total deposited particles, accumulates on the inside of the protective cover. To facilitate rapid combustion of these deposited particles, a ceramic heater was embedded within the metal shielding layer and tightly integrated with the high-voltage electrode. Silicon nitride ceramic, selected for its high strength, elevated temperature stability and excellent thermal conductivity, enables a relatively fast heating rate, ensuring a uniform temperature field distribution. Applying 27 W power to the silicon nitride heater rapidly raises the gas flow region's temperature within the sensor head to achieve a high-temperature regeneration state. Computational results demonstrate that within 200 s of heater operation, the sensor's internal temperature can exceed 600 °C, effectively ensuring thorough combustion of the deposited particles. Originality/value: This study presents a novel approach to address the challenges associated with particle deposition in electrostatic PM sensors. By integrating a ceramic heater with specific material properties, the study proposes an effective method to expedite particle combustion for enhanced sensor performance. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02602288
Volume :
44
Issue :
6
Database :
Academic Search Index
Journal :
Sensor Review
Publication Type :
Academic Journal
Accession number :
180968910
Full Text :
https://doi.org/10.1108/SR-05-2024-0420