2D Lagrangian Parcel Volume method for drop flux on a cylinder. (September 2016)
- Record Type:
- Journal Article
- Title:
- 2D Lagrangian Parcel Volume method for drop flux on a cylinder. (September 2016)
- Main Title:
- 2D Lagrangian Parcel Volume method for drop flux on a cylinder
- Authors:
- Triphahn, Chris
Mickey, Jason
Loth, Eric - Abstract:
- Highlights: LPV method allows for zero-diffusion and low number of particles that need tracking. 2-D LPV model was able to accurately predict impact efficiency on a cylinder. Theoretical model developed to predict the impact Reynolds number on a cylinder. Abstract: To predict ice accretion on an aircraft, it is important to computationally track the path and concentration of water particles to the aerodynamic surface. The recently developed Lagrangian Parcel Volume (LPV) method allows for both zero-diffusion and comparatively small amounts of particles to track compared to other numerical methods. The LPV method uses Lagrangian particle trajectories to define a parcel's vertices and enclosed volume. As this parcel volume changes along its trajectory, this allows direct computation of changes in particle concentration. Previous unsteady one-dimensional investigations with the LPV method found that it provides accurate and efficient results when compared with other computational techniques. This study investigated key aspects of the two-dimensional (2-D) LPV method with respect to disperse phase particle concentration and impact efficiency predictions. These aspects included parcel shape definition, sensitivity to number of parcels and trajectory timesteps, as well as integration dynamics with a non-linear drag model and with polydisperse particle distributions. In general, the results indicate the 2-D LPV model as constructed herein was able to accurately predict impactHighlights: LPV method allows for zero-diffusion and low number of particles that need tracking. 2-D LPV model was able to accurately predict impact efficiency on a cylinder. Theoretical model developed to predict the impact Reynolds number on a cylinder. Abstract: To predict ice accretion on an aircraft, it is important to computationally track the path and concentration of water particles to the aerodynamic surface. The recently developed Lagrangian Parcel Volume (LPV) method allows for both zero-diffusion and comparatively small amounts of particles to track compared to other numerical methods. The LPV method uses Lagrangian particle trajectories to define a parcel's vertices and enclosed volume. As this parcel volume changes along its trajectory, this allows direct computation of changes in particle concentration. Previous unsteady one-dimensional investigations with the LPV method found that it provides accurate and efficient results when compared with other computational techniques. This study investigated key aspects of the two-dimensional (2-D) LPV method with respect to disperse phase particle concentration and impact efficiency predictions. These aspects included parcel shape definition, sensitivity to number of parcels and trajectory timesteps, as well as integration dynamics with a non-linear drag model and with polydisperse particle distributions. In general, the results indicate the 2-D LPV model as constructed herein was able to accurately predict impact efficiency on an aerodynamically relevant cylinder based on experimental data. In addition, a theoretical model was developed to accurately predict the impact Reynolds number on a cylinder. … (more)
- Is Part Of:
- International journal of multiphase flow. Volume 84(2016)
- Journal:
- International journal of multiphase flow
- Issue:
- Volume 84(2016)
- Issue Display:
- Volume 84, Issue 2016 (2016)
- Year:
- 2016
- Volume:
- 84
- Issue:
- 2016
- Issue Sort Value:
- 2016-0084-2016-0000
- Page Start:
- 9
- Page End:
- 18
- Publication Date:
- 2016-09
- Subjects:
- Euler–Lagrangian -- Particle tracking -- Surface flux -- Polydisperse
Multiphase flow -- Periodicals
Écoulement polyphasique -- Périodiques
Multiphase flow
Periodicals
620.1064 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03019322 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ijmultiphaseflow.2016.02.014 ↗
- Languages:
- English
- ISSNs:
- 0301-9322
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.366000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 1023.xml