LAPSE:2024.1099
Published Article
LAPSE:2024.1099
Calibration and Experimental Study of a Self-Developed Particle-Number Measurement Instrument
Guangze Li, Weixian Luo, Chenglin Zhang, Boxuan Cui, Liuyong Chang, Longfei Chen
June 21, 2024
Abstract
To accurately evaluate the size and distribution characteristics of the emission particles exhausted from in-use motor vehicle engines, we independently developed a condensation particle counter (CPC) known as BHCPC. It was calibrated by conducting the calibration procedures stated in the International Standard ISO 27981. After calibration, we conducted on-site measurements and offline sampling analysis of soot particles exhausted from different engines at a motor vehicle inspection center. The calibration results show that the detection efficiency is 90% when the particle diameter is 20.6 nm and the startup response time of the instrument is 3.53 s. The experiment results show that the self-developed BHCPC demonstrates good consistency in measuring particle-number concentration (PNC) in motor vehicle exhaust, with significant count fluctuations only occurring when PNC is higher than 25,000 P/cc. Under idle conditions, motor vehicles compliant with China VI emission regulations exhibit markedly lower exhaust emission PNC compared to those adhering to China IV emission regulations. Moreover, the results obtained from the offline electron microscope analysis show that fuel content in particle samples significantly decreases as engine speed increases, and a similar variation was also found in particle size. The micro-characteristics of the particle can give potential support to the combustion diagnostics.
Keywords
engine emissions, fine particles, in-use motor vehicle detection, instrument calibration, particle-number concentration
Suggested Citation
Li G, Luo W, Zhang C, Cui B, Chang L, Chen L. Calibration and Experimental Study of a Self-Developed Particle-Number Measurement Instrument. (2024). LAPSE:2024.1099
Author Affiliations
Li G: School of Energy and Power Engineering, Beihang University, Beijing 100191, China; Beihang Hangzhou Innovation Institute Yuhang, Hangzhou 310023, China; Zhongfa Aviation Institute, Beihang University, Hangzhou 311115, China [ORCID]
Luo W: Beihang Hangzhou Innovation Institute Yuhang, Hangzhou 310023, China
Zhang C: School of Energy and Power Engineering, Beihang University, Beijing 100191, China; Beihang Hangzhou Innovation Institute Yuhang, Hangzhou 310023, China; Zhongfa Aviation Institute, Beihang University, Hangzhou 311115, China
Cui B: Beihang Hangzhou Innovation Institute Yuhang, Hangzhou 310023, China
Chang L: School of Energy and Power Engineering, Beihang University, Beijing 100191, China; Beihang Hangzhou Innovation Institute Yuhang, Hangzhou 310023, China; Zhongfa Aviation Institute, Beihang University, Hangzhou 311115, China [ORCID]
Chen L: School of Energy and Power Engineering, Beihang University, Beijing 100191, China; Zhongfa Aviation Institute, Beihang University, Hangzhou 311115, China
Journal Name
Processes
Volume
12
Issue
1
First Page
12
Year
2023
Publication Date
2023-12-20
ISSN
2227-9717
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Original Submission
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PII: pr12010012, Publication Type: Journal Article
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LAPSE:2024.1099
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https://doi.org/10.3390/pr12010012
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Jun 21, 2024
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