Abstract

Propellers are a vital component to achieve successful and reliable operation of drones. However, the drone developer faces many challenges while selecting a propeller and a common approach is to perform static thrust measurement. However, the selection of a propeller using a static thrust measurement system is time-consuming. To overcome a need for the static thrust system a virtual model has been developed for measuring both the static and dynamic thrust of a single and coaxial propeller. The virtual model is reliable enough to minimize the need for full-scale tests. The virtual model has been built using two open-source software Qblade and OpenFoam. Qblade is employed to obtain the lift and drag coefficients of the propeller’s airfoil section. OpenFoam is utilized to perform the flow simulations of propellers and for obtaining the thrust and torque data of the propeller. The developed virtual model is validated with experimental data and the experimental data are obtained by developing a multi-force balance system for measuring thrusts and torques of a single and a pair of coaxial contra-rotating propellers. The data obtained from the propeller virtual model are compared with the measurement data. For a single propeller, the virtual model shows that the estimated forces are close to the experiment at lower rotational speeds. For coaxial propellers, there are some deviations at the rear propeller due to the turbulence and flow disturbance caused by the front propeller. However, the computed thrust data are still accurate enough to be used in selecting the propeller. The studies indicate that in the future, these virtual models will minimize a need for experimental testing.

Highlights

  • The sales of drones have steeply increased lately and there are many developments around the drone technology

  • The developed virtual model is validated with experimental data and the experimental data are obtained by developing a multi-force balance system for measuring thrusts and torques of a single and a pair of coaxial contra-rotating propellers

  • The propeller blade was scanned along the chord of propeller the blade and10airfoil is shown in therotational figure. speed of the propeller APC 11 × 7

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Summary

Introduction

The sales of drones have steeply increased lately and there are many developments around the drone technology. The static thrust measurements of the propeller in absence of wind can be performed using several open-source simulation tools e.g. Qprop, JavaProp, JBlade These tools cannot be employed for a drone that is operating and hovering in strong headwinds or designed to be most efficient at higher forward flight. The BET approach was later on modified and was combined with blade element momentum theory (BEMT) to model rotor thrust in the axial climb with small-angle approximations This model becomes inaccurate during the forward flight. Another modelling approach for estimating the thrust, drag, and torque of propellers used in the UAV applications for hover and high- speed forward flight regimes was proposed by Gill and D’Andrea [6] In their approach, the propeller model was created using both Blade Element Theory (BET) and Blade Element Momentum Theory (BEMT). The virtual setup can be utilized for estimating the dynamic loading of propellers

Experimental Studies of Propellers
CFD-BEMT: A Numerical Approach for Modelling the Propeller
B Areacell
Model Validation
Lift of the the Clark-Y
The Static Thrust of Reference Propeller
Single Propeller Setup
11. Thrust
Coaxial Propellers Setup
Conclusions
Full Text
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