Eulerian–Lagrangian method for liquid jet atomization in supersonic crossflow using statistical injection model. (February 2018)
- Record Type:
- Journal Article
- Title:
- Eulerian–Lagrangian method for liquid jet atomization in supersonic crossflow using statistical injection model. (February 2018)
- Main Title:
- Eulerian–Lagrangian method for liquid jet atomization in supersonic crossflow using statistical injection model
- Authors:
- Fan, Xiaofeng
Wang, Jiangfeng
Zhao, Faming
Li, Jiawei
Yang, Tianpeng - Abstract:
- An integrated Eulerian–Lagrangian method has been proposed to simulate liquid jet in supersonic flow. The carrier fluid surrounding the liquid droplets is described by multicomponent Navier–Stokes equations based on stationary (Eulerian) Cartesian grid, and the Lagrangian-discrete droplet method is employed to represent the behavior of atomized droplets in this work. A total of three classic breakup models, Taylor analogy breakup model, Reitz wave model, and Kelvin–Helmholtz/Rayleigh–Taylor hybrid model, are discussed under supersonic conditions, and model predictions are compared to experimental data through multiple perspectives quantitatively. More accurate predictions of liquid penetration, as well as droplet size distribution, can be achieved for specific conditions with Kelvin–Helmholtz/Rayleigh–Taylor hybrid model comparing to other breakup models. Additionally, a statistical injection model has been introduced to depict droplet dispersion in the near-nozzle region. The probability density function is utilized to predict the size and position of the injected droplet, and the four commonly used probability density functions, uniform, chi-squared, Nukiyama–Tanasawa, and Rosin–Rammler, are analyzed. The influence of statistical representation of injection condition is discussed. The simulation results indicate that the random components in the velocity and droplet size of the injected droplets have a significant impact on the structure of the liquid jet in high-speedAn integrated Eulerian–Lagrangian method has been proposed to simulate liquid jet in supersonic flow. The carrier fluid surrounding the liquid droplets is described by multicomponent Navier–Stokes equations based on stationary (Eulerian) Cartesian grid, and the Lagrangian-discrete droplet method is employed to represent the behavior of atomized droplets in this work. A total of three classic breakup models, Taylor analogy breakup model, Reitz wave model, and Kelvin–Helmholtz/Rayleigh–Taylor hybrid model, are discussed under supersonic conditions, and model predictions are compared to experimental data through multiple perspectives quantitatively. More accurate predictions of liquid penetration, as well as droplet size distribution, can be achieved for specific conditions with Kelvin–Helmholtz/Rayleigh–Taylor hybrid model comparing to other breakup models. Additionally, a statistical injection model has been introduced to depict droplet dispersion in the near-nozzle region. The probability density function is utilized to predict the size and position of the injected droplet, and the four commonly used probability density functions, uniform, chi-squared, Nukiyama–Tanasawa, and Rosin–Rammler, are analyzed. The influence of statistical representation of injection condition is discussed. The simulation results indicate that the random components in the velocity and droplet size of the injected droplets have a significant impact on the structure of the liquid jet in high-speed flow. … (more)
- Is Part Of:
- Advances in mechanical engineering. Volume 10:Number 2(2018)
- Journal:
- Advances in mechanical engineering
- Issue:
- Volume 10:Number 2(2018)
- Issue Display:
- Volume 10, Issue 2 (2018)
- Year:
- 2018
- Volume:
- 10
- Issue:
- 2
- Issue Sort Value:
- 2018-0010-0002-0000
- Page Start:
- Page End:
- Publication Date:
- 2018-02
- Subjects:
- Numerical simulation -- Eulerian–Lagrangian method -- multiphase flow -- high-speed flow -- probability density function -- atomization
Mechanical engineering -- Periodicals
621.05 - Journal URLs:
- http://ade.sagepub.com/content/current ↗
http://www.hindawi.com/journals/ame ↗
http://www.uk.sagepub.com ↗ - DOI:
- 10.1177/1687814018761295 ↗
- Languages:
- English
- ISSNs:
- 1687-8132
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 8180.xml