Numerical simulation and experimental verification on downwash air flow of six-rotor agricultural unmanned aerial vehicle in hover

Recently, multi-rotor unmanned aerial vehicle (UAV) becomes more and more significantly irreplaceable in the field of plant protection against diseases, pests and weeds of crops. The easy takeoff and landing performance, hover function and high spraying efficiency of UAV are urgently required to spray pesticide for crop timely and effectively, especially in dispersed plots and hilly mountains. In such situations, the current researches about UAV spray application mainly focus on studying the influence of the UAV spraying parameters on the droplet deposition, such as operation height, operation velocity and wind velocity. The deposition and distribution of pesticide droplets on crops which depends on installation position of nozzle and airflow distribution characteristics of UAV are directly related to the control effect of pesticide and crop growth in different growth periods. As a preliminary step, this study focuses on the dynamic development law and distribution characteristics of the downwash air flow for the SLK-5 six-rotor agricultural UAV. Based on compressible Reynolds-averaged Navier-Stokes (RANS) equations with an RNG k-e turbulence model and dynamic mesh technology, the efficient three-dimensional computational fluid dynamics (CFD) method was established to analyze the flow field distribution characteristics of UAV in hover. Then the unsteady interaction flow field of the wing was investigated in detail. The downwash wind speed of the marked points for the SLK-5 UAV in hover was also tested by weather tracker. It was found that the maximum velocity value of the downwash flow was close to 10 m/s; the z-direction velocity was the main body of the wind velocity in the downwash airflow, and the comparison of the wind velocity experiment test and simulation showed that the relative error was less than 12% between the experimental and simulated values of the z-direction velocity at the marked points. Then the flow characteristics of the longitudinal and cross section were analyzed in detail, the results obtained can be used as a reference for drift and sedimentation studies for multi-rotor unmanned aerial vehicle. Keywords: UAV, downwash air flow, numerical simulation, experimental verification, pesticide spray, wing interference DOI: 10.25165/j.ijabe.20171004.3077 Citation: Yang F B, Xue X Y, Zhang L, Sun Z. Numerical simulation and experimental verification on downwash air flow of six-rotor agricultural unmanned aerial vehicle in hover. Int J Agric & Biol Eng, 2017; 10(4): 41–53.

[1]  D. L. Reichard,et al.  Simulation of drift of discrete sizes of water droplets from field sprayers , 1994 .

[2]  Ian Craig,et al.  The GDS model—a rapid computational technique for the calculation of aircraft spray drift buffer distances , 2004 .

[3]  Sydney D. Ryan,et al.  A Computational Study on Spray Dispersal in the Wake of an Aircraft , 2013 .

[4]  Milton E. Teske,et al.  Decay of Aircraft Vortices near the Ground , 1993 .

[5]  T. S. Alderete SIMULATOR AERO MODEL IMPLEMENTATION , 1997 .

[6]  T. Teichmann,et al.  Dynamics of Flight: Stability and Control , 1959 .

[7]  L. Benini,et al.  DESIGN OF A RECYCLING TUNNEL SPRAYER USING CFD SIMULATIONS , 2005 .

[8]  E. M. Murman,et al.  Solution method for a hovering helicopter rotor using the Euler equations , 1985 .

[9]  Jia-Jia Ou,et al.  Global pesticide consumption and pollution: with China as a focus , 2011 .

[10]  David Nuyttens,et al.  Drift from Field Crop Sprayers Using an Integrated Approach: Results of a Five-Year Study , 2011 .

[11]  Li-ping Chen,et al.  Numerical simulation of wake vortices of crop spraying aircraft close to the ground. , 2016 .

[12]  Xin-Yu Xue,et al.  Droplet deposition and control effect of insecticides sprayed with an unmanned aerial vehicle against plant hoppers , 2016 .

[13]  Hubert Pomin,et al.  Navier-Stokes Analysis of Helicopter Rotor Aerodynamics in Hover and Forward Flight , 2002 .

[14]  Zhang Huihui,et al.  Drift and deposition of ultra-low altitude and low volume application in paddy field , 2014 .

[15]  W. H. Reed,et al.  An analytical study of the effect of airplane wake on the lateral dispersion of aerial sprays , 1954 .

[16]  Yubin Lan,et al.  Evaluation of a proposed drift reduction technology high-speed wind tunnel testing protocol. , 2009 .

[17]  Heping Zhu,et al.  Computer Simulation of Variables that Influence Spray Drift , 1992 .

[18]  Us Agricultural,et al.  Current Status and Future Trends of Agricultural Aerial Spraying Technology in China , 2014 .

[19]  K. Sōgawa PLANTHOPPER: Feeding Physiology and Host Plant Interactions , 1982 .

[20]  Fu Xi-mi,et al.  Prospect of Aviation Plant Protection in China , 2008 .

[21]  Young Mo Koo,et al.  Flight Attitudes and Spray Patterns of a Roll-Balanced Agricultural Unmanned Helicopter , 2013 .

[22]  H. E. Ozkan,et al.  CFD SIMULATION OF MOVING SPRAY SHIELDS , 2002 .

[23]  R. B. Brown,et al.  Simulation of spray dispersal and deposition from a forestry airblast sprayer - Part II: Droplet trajectory model , 2001 .

[24]  D. L. Reichard,et al.  Collection Efficiency of Spray Droplets on Vertical Targets , 1996 .

[25]  Yubin Lan,et al.  Evaluation of the EPA Drift Reduction Technology (DRT) low-speed wind tunnel protocol. , 2009 .

[26]  T. B. Curbishley,et al.  AgDrift®: A model for estimating near‐field spray drift from aerial applications , 2002, Environmental toxicology and chemistry.

[27]  Brian Richardson,et al.  A Review of Computer Models for Pesticide Deposition Prediction , 2011 .

[28]  Murat Kacira,et al.  Computational fluid dynamics applications to improve crop production systems , 2013 .

[29]  E. Hilz,et al.  Spray drift review: The extent to which a formulation can contribute to spray drift reduction , 2013 .