Downwash airflow field distribution characteristics and their effect on the spray field distribution of the DJI T30 six-rotor plant protection UAV

Haiyan Zhang, Sheng Wen, Chunling Chen, Qi Liu, Tongyu Xu, Shengde Chen, Yubin Lan

Abstract


Spray characteristics are the fundamental factors that affect droplet transportation downward, deposition, and drift. The downwash airflow field of the Unmanned Aviation Vehicle (UAV) primarily influences droplet deposition and drift by changing the spray characteristics. This study focused mainly on the effect of the downwash airflow field of the UAV and nozzle position on the droplet spatial distribution and velocity distribution, which are two factors of spray characteristics. To study the abovementioned characteristics, computational fluid dynamics based on the lattice Boltzmann method (LBM) was used to simulate the downwash airflow field of the DJI T30 six-rotor plant protection UAV at different rotor rotational speeds (1000-1800 r/min). A particle image velocimetry system (PIV) was utilized to record the spray field with the downwash airflow field at different rotational speeds of rotors (0-1800 r/min) or different nozzle positions (0, 0.20 m, 0.35 m, and 0.50 m from the motor). The simulation and experimental results showed that the rotor downwash airflow field exhibited the ‘dispersion-shrinkage-redispersion’ development rule. In the initial dispersion stage of rotor airflow, there were obvious high-vorticity and low-vorticity regions in the rotor downwash airflow field. Moreover, the low-vorticity region was primarily concentrated below the motor, and the high-vorticity region was mainly focused in the middle area of the rotors. Additionally, the Y-direction airflow velocity fluctuated at 0.4-1.2 m under the rotor. When the rotor airflow developed to 3.2 m below the rotor, the Y-direction airflow velocity showed a slight decrease. Above 3.2 m from the rotor, the Y-direction airflow velocity started to drastically decrease. Therefore, it is recommended that the DJI T30 plant protection UAV should not exceed 3.2 m in flight height during field spraying operations. The rotor downwash airflow field caused the nozzle atomization angle, droplet concentration, and spray field width to decrease while increasing the vortex scale in the spray field when the rotor system was activated. Moreover, the increase in rotor rotational speed promoted the abovementioned trend. When the nozzle was installed in various radial locations below the rotor, the droplet spatial distribution and velocity distribution were completely different. When the nozzle was installed directly below the motor, the droplet spatial distribution and velocity distribution were relatively symmetrical. When the nozzle was installed at 0.20 m and 0.35 m from the motor, the droplets clearly moved toward the right under the induction of stronger rotor vortices. This resulted in a higher droplet concentration in the right-half spray field. However, the droplet moved toward the left when the nozzle was installed in the rotor tip. For four nozzle positions, when the nozzle was installed at 0 or 0.20 m from the motor, the droplet average velocity was much higher. However, the droplet average velocity was slower when the nozzle was installed in the other two positions. Therefore, it is recommended that the nozzle is installed at 0 or 0.20 m from the motor. The research results could increase the understanding of the downwash airflow field distribution characteristics of the UAV and its influence on the droplet spatial distribution and velocity distribution characteristics. Meanwhile, the research results could provide some theoretical guidance for the choice of nozzle position below the rotor.
Keywords: downwash airflow, spray field distribution, plant protection, UAV, characteristics
DOI: 10.25165/j.ijabe.20231602.8094

Citation: Zhang H Y, Wen S, Chen C L, Liu Q, Xu T Y, Chen S D, et al. Downwash airflow field distribution characteristics and their effect on the spray field distribution of the DJI T30 six-rotor plant protection UAV. Int J Agric & Biol Eng, 2023; 16(2): 10-22.

Keywords


downwash airflow, spray field distribution, plant protection, UAV, characteristics

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References


Chen S D, Lan Y B, Zhou Z Y, Deng X L, Wang J. Research advances of the drift reducing technologies in application of agricultural aviation spraying. Int J Agric & Biol Eng, 2021; 14(5): 1-10.

Teske M E, Wachspress D A, Thistle H W. Prediction of aerial spray release from UAV. Transactions of the ASABE, 2018; 61(3): 909-918.

Wang J. Spray model of single rotor unmanned plant protection machine and its application in tropical crops. Doctral dissertation. Guangzhou: South China Agricultural University, 2020; 168p. (in Chinese)

Wang J, Lan Y B, Yao W X, Chen P C, Wang G B, Chen S D. Aerial spraying application of multi-rotor unmanned aerial vehicle on areca trees. Int J Precis Agric Aviat, 2020; 3(4): 51-64.

Zhang K P, Chen J G, Wang C Y, Han L B, Shang Z Z, Wang G B, et al. Evaluation of herbicides aerially applied from a small unmanned aerial vehicle over wheat field. Int J Precis Agric Aviat, 2020; 3(1): 49-53.

Zhang H Y, Lan Y B, Wen S, Xu T Y, Yu F H. Research progress in rotor airflow model of plant protection UAV and droplet motion mechanism. Transaction of the CSAE, 2020; 36(22): 1-12. (in Chinese)

Chen P C, Lan Y B< Douzals J-P, Ouyang F, Wang J, Xu W C. Droplet distribution of Unmanned Aerial Vehicle under several spray volumes and canopy heights in the cotton canopy. Int J Precis Agric Aviat, 2020; 3(4): 74-79.

Zhan Y L, Chen P C, Xu W C, Chen S D, Han Y F, Lan Y B, et al. Influence of the downwash airflow distribution characteristics of a plant protection UAV on spray deposit distribution. Biosystems Engineering, 2022; 216: 32-45.

Zhang H Y, Lan Y B, Wen S, Chen C L, Xu T Y, Chen S D. A modelling approach of spray retention on rice in plant protection using unmanned aviation vehicle. Transaction of the CSAE, 2022; 38(18): 40-50. (in Chinese)

Chen S D. Research on droplet deposition mechanism and operating parameters of plant protection UAV for Rice. PhD dissertation. Guangzhou: South China Agricultural University, 2018; 119p. (in Chinese)

Zhang H Y. Experiment study on the performance of the aerial electrostatic spray system applied in UAV. Master dissertation. Guangzhou: South China Agricultural University, 2018; 81p. (in Chinse)

Yoon S, Lee H C, Pulliam T H. Computational analysis of multi-rotor flows. In: 54th AIAA Aerospace Sciences Meeting, San Diego: SCI Tech Forum, 2016; Paper No. 0812. doi: 10.2514/6.2016-0812.

Hwang J Y, Jung M K, Kwon O J. Numerical study of aerodynamic performance of a multirotor unmanned-aerial-vehicle configuration. Journal of Aircraft, 2015; 52(3): 839-846.

Yang F B, Xue X Y, Cai C, Zhou Q Q. Effects of down wash airflow in hover on droplet motion law for multi-rotor unmanned plant protection machine. Transactions of the CSAE, 2018; 34(2): 64-73. (in Chinese)

Tang Q, Zhang R R, Chen L P, Xu G, Deng W, Ding C C, et al. High-accuracy, high-resolution downwash flow field measurements of an unmanned helicopter for precision agriculture. Computers and Electronics in Agriculture, 2020; 173: 105390. doi: 10.1016/j.compag.2020.105390.

Guo Q W, Zhu Y Z, Tang Y, Hou C J, He Y, Zhuang J J, et al. CFD simulation and experimental verification of the spatial and temporal distributions of the downwash airflow of a quad-rotor agricultural UAV in hover. Computers and Electronics in Agriculture, 2020; 172: 105343. doi: 10.1016/j.compag.2020.105343.

Li J Y, Lan Y B, Shi Y Y. Research progress on airflow characteristics and field pesticide application system of rotary-wing UAV. Transactions of the CSAE, 2018; 34(12): 104-118. (in Chinese)

Liu X. Research on distribution regularity of downwash airflow velocity in rotor flow field of single rotor plant protection UAV. PhD dissertation. Daqing: Heilongjiang Bayi Agricultural University, 2019; 136p. (in Chinese)

Tang Q, Zhang R R, Chen L P, Deng W, Xu M, Xu G, et al. Numerical simulation of the downwash flow field and droplet movement from an unmanned helicopter for crop spraying. Computers and Electronics in Agriculture, 2020; 174: 105468. doi: 10.1016/j.compag.2020.105468.

Zhang H Y, Lan Y B, Shen N W, Wu J Y, Wang T, Han J, et al. Numerical analysis of downwash flow field from quad-rotor unmanned aerial vehicles. Int J Precis Agric Aviat, 2020; 3(4): 1-7.

Wen S, Han J, Ning Z H, Lan Y B, Yin X C, Zhang J T, et al. Numerical analysis and validation of spray distributions disturbed by quad-rotor drone wake at different flight speeds. Computers and Electronics in Agriculture, 2019; 166: 105036. doi: 10.1016/j.compag.2019105036.

Wen S, Han J, Lan Y B, Yin X C, Lu Y H. Influence of wing tip vortex on drift of single rotor plant protection unmanned aerial vehicle. Transactions of the CSAM, 2018; 49(8): 127-137. (in Chinese)

Khan I, Aidun C K. Direct numerical simulation of saturated deformable porous media using parallel hybrid Lattice-Boltzmann and finite element method. International Journal for Numerical Methods in Engineering, 2010; 86(12): 1379–1395.

Xiong Q, Khosravi A, Nabipour N, Doranehgard M H, Sbaghmoghadam A, Ross D. Nanofluid flow and heat transfer due to natural convection in a semi-circle/ellipse annulus using modified lattice Boltzmann method. International Journal of Numerical Methods for Heat & Fluid Flow, 2019; 29(12): 4746-4763.

Nabavizadeh S A, Barua H, Eshraghi M, Felicelli S D. A multiple-grid lattice Boltzmann method for natural convection under low and high Prandtl numbers. Fluids, 2021; 6(4): 148. doi: 10.3390/fluids6040148.

Krüger T, Kusumaatmaja H, Kuzmin A, Shardt O, Silva G, Viggen E M. The lattice Boltzmann method: Principles and Practice. Springer Cham, 2017; 694p.

Wang L, Xu M, Hou Q H, Wang Z W, Lan YB, Wang S M. Numerical verification on influence of multi-feature parameters to the downwash airflow field and operation effect of a six-rotor agricultural UAV in flight. Computers and Electronics in Agriculture, 2021; 190: 106452. doi: 10.1016/j.compag.2021.106425.

Cui X W, Yao X L, Wang Z K, Liu M H. A coupled Volume Penalization-Thermal Lattice Boltzmann method for thermal flows. International Journal of Heat and Mass Transfer, 2018; 127(Part A): 253-266.

Zhang H, Qi L J, Wu Y L, Musiu E M, Cheng Z Z, Wang P. Numerical simulation of airflow field from a six–rotor plant protection drone using lattice Boltzmann method. Biosystems Engineering, 2020; 197: 336-351.




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