Computational Fluid Dynamic Analysis of Amphibious Unmanned Aerial Vehicle

Document Type : Research Paper

Authors

1 Department of Mechanical Engineering, Vel Tech Rangarajan Dr Sagunthala R & D Institute of Science and Technology, Avadi, Chennai-600062, Tamilnadu, India

2 Department of Mechanical and Electromechanical Engineering, Tamkang University, 25137, Tamsui, Taiwan, R.O.C.

3 Department of Aeronautical Engineering, Vel Tech Rangarajan Dr Sagunthala R & D Institute of Science and Technology, Avadi, Chennai-600062, Tamilnadu, India

Abstract

Unmanned Aerial Vehicles (UAVs) are becoming popular due to its versatile maneuvering and high pay load carrying capabilities. Military, navy and coastal guard makes crucial use of the amphibious UAVs which includes the working functionalities of both hover craft and multi-rotor systems. Inculcation of these two systems and make it as amphibious UAV for water quality monitoring, sampling and analysis is essential to serve the human-kind for providing clean water. On this note, an amphibious UAV is designed for carrying a water sampler mechanism with an on-board sensor unit. In order to examine the stability of designed UAV under diverse wind load conditions and to examine the aerodynamic performance characteristics, computational fluid dynamic analysis (CFD) is performed. For various flight conditions such as pitch, roll, yaw and hovering, the flow characteristics around the vehicle body is examined. The aerodynamic phenomenon at the rotor section, vortex, turbulent regions, wake and tip vortex are identified. In addition, CFD analysis are conducted to determine the thrust forces during forward and hovering conditions through varying the wind speed 3 to 10 m/sec and speed of rotor 2000 to 5000 rpm. The effect of non-dimensional parameters such as advance ratio and induced inflow ratio on estimating the thrust characteristics are studied. Simulation results suggested that at 5° angle of attack and 8 m/sec wind speed condition, the aerodynamic performance of the vehicle is superior and stable flight is guaranteed. The amphibious UAV with flying and gliding modes for collecting water samples in remote water bodies and also in-situ water quality measurement can be well utilized for water quality monitoring.

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Main Subjects

[1] Hildmann, H. Kovacs, E. Saffre, F. Isakovic, F., Nature-inspired drone swarming for real-time aerial data-collection under dynamic operational constraints, Drones, 3(3), 2019, 71.
[2] Esakki, B., Ganesan, S., Mathiyazhagan, S., Design of amphibious vehicle for unmanned mission in water quality monitoring using IoT, Sensors, 18(10), 2018, 3318.
[3] Diaz, P., and Yoon, S., High-fidelity computational aerodynamics of multi-rotor unmanned aerial vehicles, AIAA SciTech Forum, Kissimmee, FL, USA, 2018.
[4] Diaz, P., Yoon, S., and Theodore, C. R., High-fidelity computational aerodynamics of the Elytron 4S UAV, AHS Specialists Meeting - Aeromechanics, San Francisco, CA, USA, 2018.
[5] Thibault, S., Holman, D., Trapani, G., Garcia, S., CFD Simulation of a Quad-Rotor UAV with Rotors in Motion Explicitly Modeled Using an LBM Approach with Adaptive Refinement, 55th AIAA Aerospace Sciences Meeting, 9-13 January, Grapevine, Texas, USA, 2017.
[6] Setijl, R., Baracos, G.N., Computational study of helicopter rotor-fuselage aerodynamic interaction, AIAA Forum, 47(9), 2009, 2143.
[7] Antoniadis, A.F., Drikakis, D., Zhong, B., Barakos, G., Steijl, R., Biava, M., Embacher, M., Assessment of CFD methods against experimental flow measurements for helicopter flows, Aerospace Science and Technology, 19(1), 2012, 86-100.
[8] Boon, M.A., Drijfhout, A.P., Tesfamichael, S., Comparison of a fixed-wing and multi-rotor uav for environmental mapping applications: a case study, International Conference on Unmanned Aerial Vehicles in Geomatics, 4–7 September, Bonn, Germany, 2017.
[9] Viieru, D., Tang, J., Lian, Y., Liu, H., Shyy, W., Flapping and Flexible Wing Aerodynamics of Low Reynolds Number Flight Vehicles, 44th AIAA Aerospace Sciences Meeting and Exhibit, Reno, Nevada, USA, 2006.
[10] Biava, M., Khier, W., Vigevano, L., CFD prediction of air flow past a full helicopter configuration, Aerospace Science and Technology, 19(1), 2012, 3-18.
[11] Tytus T., Low Reynolds Number Rotor Blade Aerodynamic Analysis, MATEC Web Conf., 252, 2019, 04006.
[12] Pérez Gordillo, A.M., Villegas Santos, J.S., Lopez Mejia, O.D., Suárez Collazos, L.J., Escobar, J.A., Numerical and Experimental Estimation of the Efficiency of a Quadcopter Rotor Operating at Hover, Energies, 12, 2019, 261.
[13] Celic, A., Hirschel, E.H., Comparison of eddy-viscosity turbulence models in flows with adverse pressure gradient, AIAA Journal, 44(10), 2006, 2156-2169.
[14] Boyd, Jr.D., Barnwell, R., Gorton, S., A computational model for rotor-fuselage interactional aerodynamics, The 38th Aerospace Sciences Meeting and Exhibit, NASA Langley Technical Report Server, 2000, p. 256.
[15] He, C., Nischint, R., Modeling the Aerodynamic Interaction of Multiple Rotor Vehicles and Compound Rotorcraft with Viscous Vortex Particle Method, American Helicopter Society 72nd Annual ForumAt: West Palm Beach, FL, USA, 2016.
[16] Ye, L., Zhang, Y., Yang, S., Zhu, X., Dong, J., Numerical simulation of aerodynamic interaction for a tilt rotor aircraft in helicopter mode, Chinese Journal of Aeronautics, 29(4), 2016, 843-854.
[17] CaO, Y.H., Yu, Z.Q., Yuan, S.U., Kai, K., Combined free wake/CFD methodology for predicting transonic rotor flow in hover, Chinese Journal of Aeronautics, 15(2), 2002, 65-71.
[18] Conlisk, A.T., Modern helicopter rotor aerodynamics, Progress in Aerospace Sciences, 37(5), 2001, 419-476.
[19] Dindar, M., Shephard, M.S., Flaherty, J.E., Jansen, K., Adaptive CFD analysis for rotorcraft aerodynamics, Computer Methods in Applied Mechanics and Engineering, 189(4), 2000, 1055-1076.
[20] Domenge, P.X.C., Ilie, M., Numerical study of helicopter blade–vortex mechanism of interaction using the potential flow theory, Applied Mathematical Modelling, 36(7), 2012, 2841-2857.
[21] Felismina, R., Silva, M., Mateus, A., Malça, C., Study on the aerodynamic behavior of a UAV with an applied seeder for agricultural practices, AIP Conference Proceedings, 1836(1), 2017, 020049.
[22] Filippone, A., Michelsen, J.A., Aerodynamic drag prediction of helicopter fuselage, Journal of Aircraft, 38(2), 2001, 326-333.
[23] Qijun, Z., Zhao, G., Wang, B., Wang, Q., Shi, Y., Xu, G., Robust Navier-Stokes method for predicting unsteady flow field and aerodynamic characteristics of helicopter rotor, Chinese Journal of Aeronautics, 31(2), 2014, 214-224.
[24] Shi, Y., Xu, Y., Xu, G., Wei, P., A coupling VWM/CFD/CSD method for rotor air load prediction, Chinese Journal of Aeronautics, 30(1), 2017, 204-215.
[25] Tan, J., Wang, H., Panel/full-span free-wake coupled method for unsteady aerodynamics of helicopter rotor blade, Chinese Journal of Aeronautics, 26(3), 2013, 535-543.
[26] Lopez, O.D., Escobar, J.A., Pérez, A.M., Computational Study of the Wake of a Quadcopter Propeller in Hover, The 23rd AIAA Computational Fluid Dynamics Conference, 2017, p. 3961.
[27] Thibault, S., Holman, D., Garcia, S., Trapani, G., CFD Simulation of a quad-rotor UAV with rotors in motion explicitly modeled using an LBM approach with adaptive refinement, The 55th AIAA Aerospace Sciences Meeting, 2017, p. 583.
[28] Yoon, S., Lee, H.C., Pulliam, T.H., Computational analysis of multi-rotor flows, The 54th AIAA Aerospace Sciences Meeting, 2016, p. 812.