LAPSE:2023.8563
Published Article

LAPSE:2023.8563
Numerical Comparative Study of Fuel Cavitation in Microchannels under Different Turbulence Models
February 24, 2023
Abstract
The fuel injector is a critical component of the internal combustion engine. The diameters of the injector nozzle and the control chamber’s oil inlet and outlet are generally between 0.2 and 0.5 mm, which are typical microchannel structures. During high-pressure injection, the cavitation phenomenon in the channel seriously affects the reliability of the internal combustion engine. The choice of turbulence and cavitation models is the key to investigate the cavitation in the microchannel by using numerical methods. Based on the Winklhofer microchannel fuel experiment, five representative turbulence models were used to construct a microchannel model, and the results were compared and analyzed with the experiment. The results show that the pressure gradient values obtained from the combination of RNG k-ε and ZGB models were similar to the experimental data, with an error of less than 6%. The cavitation distribution calculated from the combination of LES and ZGB models was most consistent with the experimental observation data. The outlet mass flow rate obtained from the LES and ZGB models matched the trend of the experimental data in the pressure difference range of 19 bar to 85 bar, with an error of less than 2%. For the cross-sectional flow rate calculation, the RNG k-ε and ZGB models had the smallest calculation errors, with errors below 11%.
The fuel injector is a critical component of the internal combustion engine. The diameters of the injector nozzle and the control chamber’s oil inlet and outlet are generally between 0.2 and 0.5 mm, which are typical microchannel structures. During high-pressure injection, the cavitation phenomenon in the channel seriously affects the reliability of the internal combustion engine. The choice of turbulence and cavitation models is the key to investigate the cavitation in the microchannel by using numerical methods. Based on the Winklhofer microchannel fuel experiment, five representative turbulence models were used to construct a microchannel model, and the results were compared and analyzed with the experiment. The results show that the pressure gradient values obtained from the combination of RNG k-ε and ZGB models were similar to the experimental data, with an error of less than 6%. The cavitation distribution calculated from the combination of LES and ZGB models was most consistent with the experimental observation data. The outlet mass flow rate obtained from the LES and ZGB models matched the trend of the experimental data in the pressure difference range of 19 bar to 85 bar, with an error of less than 2%. For the cross-sectional flow rate calculation, the RNG k-ε and ZGB models had the smallest calculation errors, with errors below 11%.
Record ID
Keywords
cavitation, injector, internal combustion engine, microchannel, model comparison
Subject
Suggested Citation
Li Z, Liu Z, Chen P, Liu J, Wu J. Numerical Comparative Study of Fuel Cavitation in Microchannels under Different Turbulence Models. (2023). LAPSE:2023.8563
Author Affiliations
Li Z: College of Power Engineering, Naval University of Engineering, Wuhan 430033, China [ORCID]
Liu Z: College of Power Engineering, Naval University of Engineering, Wuhan 430033, China [ORCID]
Chen P: College of Power Engineering, Naval University of Engineering, Wuhan 430033, China
Liu J: College of Power Engineering, Naval University of Engineering, Wuhan 430033, China [ORCID]
Wu J: College of Power Engineering, Naval University of Engineering, Wuhan 430033, China [ORCID]
Liu Z: College of Power Engineering, Naval University of Engineering, Wuhan 430033, China [ORCID]
Chen P: College of Power Engineering, Naval University of Engineering, Wuhan 430033, China
Liu J: College of Power Engineering, Naval University of Engineering, Wuhan 430033, China [ORCID]
Wu J: College of Power Engineering, Naval University of Engineering, Wuhan 430033, China [ORCID]
Journal Name
Energies
Volume
15
Issue
21
First Page
8265
Year
2022
Publication Date
2022-11-04
ISSN
1996-1073
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Original Submission
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PII: en15218265, Publication Type: Journal Article
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LAPSE:2023.8563
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https://doi.org/10.3390/en15218265
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Feb 24, 2023
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