Simulation of electrostatic particulate matter sensor regeneration based on the particulate deposition patterns
ISSN: 0260-2288
Article publication date: 24 September 2024
Issue publication date: 20 November 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.
Keywords
Acknowledgements
This work is supported in part by the National Key Research and Development Program of China under Grant 2023YFC3705400, in part by the Natural Science Foundation of Anhui Province under Grant 2208085MF162, in part by the Plan for Anhui Major Provincial Science Technology Project under Grant 20220307020004, in part by the National Natural Science Foundation of China under Grant U2133212 and in part by the Key Research and Development Plan of Tianjin under Grant 22YFYSHZ00260.
Citation
Liu, J., Wang, H., Sun, Q., Jiang, C., Zhou, J., Huang, G., Yu, F. and Feng, B. (2024), "Simulation of electrostatic particulate matter sensor regeneration based on the particulate deposition patterns", Sensor Review, Vol. 44 No. 6, pp. 783-793. https://doi.org/10.1108/SR-05-2024-0420
Publisher
:Emerald Publishing Limited
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