Numerical Simulation and Analysis on Spray Drift Movement of Multirotor Plant Protection Unmanned Aerial Vehicle
Fengbo Yang,
Xinyu Xue,
Chen Cai,
Zhu Sun and
Qingqing Zhou
Additional contact information
Fengbo Yang: Nanjing Research Institute for Agricultural Mechanization, Ministry of Agriculture, Nanjing 210014, China
Xinyu Xue: Nanjing Research Institute for Agricultural Mechanization, Ministry of Agriculture, Nanjing 210014, China
Chen Cai: Nanjing Research Institute for Agricultural Mechanization, Ministry of Agriculture, Nanjing 210014, China
Zhu Sun: Nanjing Research Institute for Agricultural Mechanization, Ministry of Agriculture, Nanjing 210014, China
Qingqing Zhou: Nanjing Research Institute for Agricultural Mechanization, Ministry of Agriculture, Nanjing 210014, China
Energies, 2018, vol. 11, issue 9, 1-20
Abstract:
In recent years, multirotor unmanned aerial vehicles (UAVs) have become more and more important in the field of plant protection in China. Multirotor unmanned plant protection UAVs have been widely used in vast plains, hills, mountains, and other regions, and become an integral part of China’s agricultural mechanization and modernization. The easy takeoff and landing performances of UAVs are urgently required for timely and effective spraying, especially in dispersed plots and hilly mountains. However, the unclearness of wind field distribution leads to more serious droplet drift problems. The drift and distribution of droplets, which depend on airflow distribution characteristics of UAVs and the droplet size of the nozzle, are directly related to the control effect of pesticide and crop growth in different growth periods. This paper proposes an approach to research the influence of the downwash and windward airflow on the motion distribution of droplet group for the SLK-5 six-rotor plant protection UAV. At first, based on the Navier-Stokes (N-S) equation and SST k–ε turbulence model, the three-dimensional wind field numerical model is established for a six-rotor plant protection UAV under 3 kg load condition. Droplet discrete phase is added to N-S equation, the momentum and energy equations are also corrected for continuous phase to establish a two-phase flow model, and a three-dimensional two-phase flow model is finally established for the six-rotor plant protection UAV. By comparing with the experiment, this paper verifies the feasibility and accuracy of a computational fluid dynamics (CFD) method in the calculation of wind field and spraying two-phase flow field. Analyses are carried out through the combination of computational fluid dynamics and radial basis neural network, and this paper, finally, discusses the influence of windward airflow and droplet size on the movement of droplet groups.
Keywords: unmanned aerial vehicle; wind field; droplet; two-phase flow; drift model (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
https://www.mdpi.com/1996-1073/11/9/2399/pdf (application/pdf)
https://www.mdpi.com/1996-1073/11/9/2399/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:11:y:2018:i:9:p:2399-:d:169158
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().