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Numerical simulation of spray drift and deposition from a crop spraying aircraft using a CFD approach
- Source :
- Biosystems Engineering. 166:184-199
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
Abstract
- Spray drift from aerial application is a great concern and there have been many efforts to predict it. Here computational fluid dynamics (CFD) techniques are used to predict the velocity field and the subsequent trajectories of spray droplets in the wake of a Thrush 510G aircraft. The fluid phase is modelled using the Reynolds-averaged Navier–Stokes (RANS) equations within an Eulerian frame, whilst the dispersed phase is modelled using a stochastic tracking model in the Lagrangian frame. The wake of aircraft is represented with a pair of wing-tip vortices and droplets are released in ten locations representing atomisers mounted below the wing. Firstly, a case without the presence of crosswind was simulated and deposition analysis was performed. A case with the presence of crosswind was then simulated to predict spray drift and deposition. The locations droplets at different times, as well as evaporation rate, were compared with AGDISP (agricultural dispersal model) predictions. The physics of vortices evolution, droplets motion and evaporation were analysed to explain the drift and deposition characteristics.
- Subjects :
- Computer simulation
business.industry
Evaporation
Soil Science
04 agricultural and veterinary sciences
02 engineering and technology
Mechanics
Wake
Computational fluid dynamics
Vortex
Physics::Fluid Dynamics
020303 mechanical engineering & transports
0203 mechanical engineering
Control and Systems Engineering
040103 agronomy & agriculture
0401 agriculture, forestry, and fisheries
Deposition (phase transition)
Reynolds-averaged Navier–Stokes equations
business
Agronomy and Crop Science
Food Science
Crosswind
Subjects
Details
- ISSN :
- 15375110
- Volume :
- 166
- Database :
- OpenAIRE
- Journal :
- Biosystems Engineering
- Accession number :
- edsair.doi...........fc8479323b9eb22cdc4231ffd0e588fa