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Stochastic modelling of particle deposition
Reference
D13549
Principal Investigator / Supervisor
Dr Andrew Reynolds
Co-Investigators /
Co-Supervisors
Institution
Silsoe Research Institute
Department
Research Division
Funding type
Research
Value (£)
79,052
Status
Completed
Type
Research Grant
Start date
31/03/2003
End date
30/11/2004
Duration
20 months
Abstract
The ability to predict correctly the deposition of particles from turbulent air flows has many potential benefits in the agri-food sector. At particle capture scales, near-surface effects assume major significance. The research will model the three most important, surface roughness, thermophoresis and electrostatic charge. It is hypothesised that the deposition of particles, can be predicted correctly by Lagrangian stochastic models (particle tracking models). Such models will be formulated, implemented and validated against existing data from laboratory scale and wind-tunnel experiments. The dependencies of particle deposition on flow regimes, particle sizes, and surface roughness will then be determined and key dependencies characterised.
Summary
unavailable
Committee
Closed Committee - Agri-food (AF)
Research Topics
X – not assigned to a current Research Topic
Research Priority
X – Research Priority information not available
Research Initiative
X - not in an Initiative
Funding Scheme
X – not Funded via a specific Funding Scheme
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