Numerical simulation of the effects of downwash airflow and crosswinds on the spray performance of quad-rotor agricultural UAVs

• Examined quad-rotor Agri-UAV downwash airflow considering flight parameters, droplet sizes, and crosswinds. • Escape vortices and Horseshoe vortex capture small droplets,increasing losses. • Found optimal spraying altitudes at 2 m, 3 m, and 4 m, with the best height being 2.5 m. • Constant speed and higher crosswinds yield larger droplet drift angles. Crosswinds expand effective coverage, maxing at 1.5 m/s. • Gravity deposits larger droplets (150 μm) at UAV rear; mediums (100 μm) and smalls (50 μm) drift farther rearward. To elucidate the influence of rotor downwash airflow on droplet dynamics during agricultural UAV spraying, this study established a three-dimensional gas-liquid coupling numerical model. The synergistic effects of flight speed (1–5 m/s), operation altitude (2–4 m), and crosswinds (0–2 m/s) on droplet deposition and drift were systematically analyzed. Results demonstrated that increased UAV flight speed significantly tilted the downwash airflow backward, exacerbating drift losses for smaller droplets. Higher operation altitudes prolonged droplet residence times within airflow, further elevating drift risk. Crosswind velocity positively correlated with downwash airflow deflection angles, expanding airflow coverage under crosswinds; however, increasing crosswind velocities unexpectedly reduced droplet deflection angles. Experimental validation revealed a relative error between simulated and measured deposition of 27.2 % to 30 %, confirming the model's reliability. This study uniquely uncovers droplet drift patterns under crosswind conditions, offering new theoretical insights for optimizing UAV spray operations.

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Publication Details

Journal
Smart Agricultural Technology
Published
2025-04-09
DOI
https://doi.org/10.1016/j.atech.2025.100940
Citations
5
Primary Topic
Plant Surface Properties and Treatments
Type
article
Field-Weighted Citation Impact
8.75
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article

Numerical simulation of the effects of downwash airflow and crosswinds on the spray performance of quad-rotor agricultural UAVs

Qiwei Guo, Mingwei Fang, Yu Tang, Xiaobing Chen et al.
5 citations
Smart Agricultural Technology
Plant Surface Properties and Treatments
8.75
article

Numerical simulation of the effects of downwash airflow and crosswinds on the spray performance of quad-rotor agricultural UAVs

Qiwei Guo, Mingwei Fang, Yu Tang, Xiaobing Chen, Chaojun Hou, Yaozong Zhu
article en
5 citations

Abstract

• Examined quad-rotor Agri-UAV downwash airflow considering flight parameters, droplet sizes, and crosswinds. • Escape vortices and Horseshoe vortex capture small droplets,increasing losses. • Found optimal spraying altitudes at 2 m, 3 m, and 4 m, with the best height being 2.5 m. • Constant speed and higher crosswinds yield larger droplet drift angles. Crosswinds expand effective coverage, maxing at 1.5 m/s. • Gravity deposits larger droplets (150 μm) at UAV rear; mediums (100 μm) and smalls (50 μm) drift farther rearward. To elucidate the influence of rotor downwash airflow on droplet dynamics during agricultural UAV spraying, this study established a three-dimensional gas-liquid coupling numerical model. The synergistic effects of flight speed (1–5 m/s), operation altitude (2–4 m), and crosswinds (0–2 m/s) on droplet deposition and drift were systematically analyzed. Results demonstrated that increased UAV flight speed significantly tilted the downwash airflow backward, exacerbating drift losses for smaller droplets. Higher operation altitudes prolonged droplet residence times within airflow, further elevating drift risk. Crosswind velocity positively correlated with downwash airflow deflection angles, expanding airflow coverage under crosswinds; however, increasing crosswind velocities unexpectedly reduced droplet deflection angles. Experimental validation revealed a relative error between simulated and measured deposition of 27.2 % to 30 %, confirming the model's reliability. This study uniquely uncovers droplet drift patterns under crosswind conditions, offering new theoretical insights for optimizing UAV spray operations.

Smart Agricultural TechnologyVol. 11
Huazhong Agricultural University (CN), Guangdong Polytechnic Normal University (CN), Zhongkai University of Agriculture and Engineering (CN)
Zero hunger
Openalex Percentile: Top 3%
Plant Surface Properties and Treatments
8.75
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