Investigation of Homogeneous Relaxation Model Parameters and their Implications for Gasoline Injectors
Abstract
Flash boiling is known to be a common phenomenon for gasoline direct injection (GDI) engine sprays. The Homogeneous Relaxation Model has been adopted in many recent numerical studies for predicting cavitation and flash boiling. The Homogeneous Relaxation Model is assessed in this study. Sensitivity analysis of the model parameters has been documented to infer the driving factors for the flash-boiling predictions. The model parameters have been varied over a range and the differences in predictions of the extent of flashing have been studied. Apart from flashing in the near nozzle regions, mild cavitation is also predicted inside the gasoline injectors. The variation in the predicted time scales through the model parameters for predicting these two different thermodynamic phenomena (cavitation, flash) have been elaborated in this study. Turbulence model effects have also been investigated by comparing predictions from the standard and Re-Normalization Group (RNG) k-ε turbulence models.
- Authors:
-
- Argonne National Lab. (ANL), Argonne, IL (United States)
- Argonne National Lab. (ANL), Argonne, IL (United States). Energy Systems Division
- Argonne National Lab. (ANL), Argonne, IL (United States). Energy Systems Division; Univ. of Perugia (Italy). Dept. of Engineering
- Publication Date:
- Research Org.:
- Argonne National Lab. (ANL), Argonne, IL (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office (EE-3V)
- OSTI Identifier:
- 1433001
- Grant/Contract Number:
- AC02-06CH11357
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Atomization and Sprays
- Additional Journal Information:
- Journal Volume: 27; Journal Issue: 4; Journal ID: ISSN 1044-5110
- Publisher:
- Begell House
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 33 ADVANCED PROPULSION SYSTEMS; cavitation; degree of superheat; flash boiling; gasoline direct injection; spray structure
Citation Formats
Saha, Kaushik, Som, Sibendu, and Battistoni, Michele. Investigation of Homogeneous Relaxation Model Parameters and their Implications for Gasoline Injectors. United States: N. p., 2017.
Web. doi:10.1615/AtomizSpr.2017016338.
Saha, Kaushik, Som, Sibendu, & Battistoni, Michele. Investigation of Homogeneous Relaxation Model Parameters and their Implications for Gasoline Injectors. United States. https://doi.org/10.1615/AtomizSpr.2017016338
Saha, Kaushik, Som, Sibendu, and Battistoni, Michele. Sun .
"Investigation of Homogeneous Relaxation Model Parameters and their Implications for Gasoline Injectors". United States. https://doi.org/10.1615/AtomizSpr.2017016338. https://www.osti.gov/servlets/purl/1433001.
@article{osti_1433001,
title = {Investigation of Homogeneous Relaxation Model Parameters and their Implications for Gasoline Injectors},
author = {Saha, Kaushik and Som, Sibendu and Battistoni, Michele},
abstractNote = {Flash boiling is known to be a common phenomenon for gasoline direct injection (GDI) engine sprays. The Homogeneous Relaxation Model has been adopted in many recent numerical studies for predicting cavitation and flash boiling. The Homogeneous Relaxation Model is assessed in this study. Sensitivity analysis of the model parameters has been documented to infer the driving factors for the flash-boiling predictions. The model parameters have been varied over a range and the differences in predictions of the extent of flashing have been studied. Apart from flashing in the near nozzle regions, mild cavitation is also predicted inside the gasoline injectors. The variation in the predicted time scales through the model parameters for predicting these two different thermodynamic phenomena (cavitation, flash) have been elaborated in this study. Turbulence model effects have also been investigated by comparing predictions from the standard and Re-Normalization Group (RNG) k-ε turbulence models.},
doi = {10.1615/AtomizSpr.2017016338},
journal = {Atomization and Sprays},
number = 4,
volume = 27,
place = {United States},
year = {Sun Jan 01 00:00:00 EST 2017},
month = {Sun Jan 01 00:00:00 EST 2017}
}
Web of Science