Steps: -

1. Firstly the completed Drone Assembly was loaded into the Fluid Scenario Creation application seamlessly, using the drag-and-drop method.
2.   Once the application was launched, the ‘Assistant’ window was opened for further steps of the analysis.
3.   In the ‘Model’ tab, the setup of the model was done: this includes initializing the Fluid Domain and the Fluid Section of the drone model.
4.  The Fluid Material was assigned as ‘Air,’ with its corresponding properties, from the Material Palette.
5.   A support region was selected, and a box of 500 x 500 x 500mm was selected as the fluid domain. 
6.  In the ‘Physics’ setting, Realizable k-ε ( or K-epsilon) was selected as the Turbulence Model for the simulation.  K-epsilon is best suited for flow away from the wall, which is the case here.
7. The transient Step was selected as the method of flow analysis.
8.  In the ‘Boundaries’ setting, Velocity Inlet was applied to the front face of the bounding box, at 9 m/s (this is the desired speed at which the drone should fly), and this data was obtained in comparison with the flying speed of the DJI Mini 3.
9.  Hex-Dominant Mesh was selected as the type of meshing to be applied to the geometry.
10.  The simulation was then run with the aforementioned settings. The solution took 371 minutes to converge. The total no. of elements was 366202, and the no. of nodes was 305621.
11. From the velocity plot, it is observed that the airflow gradually slows down as it approaches the periphery of the drone body. The change in speed is not abrupt, meaning that the shape of the drone is streamlined.
12.  It was observed from the ‘Bad Elements Indicator’ plot that there were no bad elements detected during the simulation runtime, this shows that the mesh was accurate and proved to be successful.
13.  As seen here, the Turbulence Kinetic Energy around the drone is large of the order 1.05 m2/s3, which implies that there is less turbulent flow around the drone, which is ideal for the flight of the drone.
14.   The rate of dissipation around the drone arms was observed to be 796 m2/s3. 
15. The turbulent eddy dissipation rate (in m2/s) represents the rate at which energy cascades from large to small eddies within the inertial subrange. The inner-side flow of air around the drone is lighter in color meaning that the formation, as well as dissipation of turbulent eddies, is less.
16.   The shear rate or the velocity gradient is less near the surface of the drone body, making it easier for the air to flow around the drone.

Edu ​​​​​​​Fluid Scenario Creation ​​​​​​​SIMULIA ​​​​​​​