• Arjun Tony Yesodharan
3. term, Energy Engineering, Master (Master Programme)
In this project, CFD modelling simulation
of drone in a fire-spot at a specific
altitude has been examined and
analyzed for firefighting application.
This project was coordinated with the
start-up company Robotto, that develop
autonomous navigation system
for drones. To minimize the computational
requirement for the simulation,
practical choices on turbulent models
and meshing methods were made
emphasizing the application through
the open-source CFD software Open-
FOAM. The grid dependence study of
the mesh has been analyzed through
GCI with Richardson extrapolation
and indicated a relative error of less
than 0.5%. The simulation was developed
into two stages:cold and hot
simulation. Cold simulation model
showed the velocity profile through
the rotor plane and hot simulation
model with heat transfer conditions illustrated
the effect of heat radiation
from the fire on the drone. The hot
simulation was not completely simulated
due to lack of required computational
hardware and time constraints.
However, with access to high computational
power and sufficient processing
time, this model shows great potential
to estimate the temperature impact
on the drone.
SpecialisationThermal Energy and Process Engineering
LanguageEnglish
Publication date8 Jan 2021
Number of pages51
KeywordsCFD, Drone, OpenFOAM
ID: 399040959