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

IF 6.3 Q1 AGRICULTURAL ENGINEERING
Qiwei Guo , Yaozong Zhu , Yu Tang , Chaojun Hou , Mingwei Fang , Xiaobing Chen
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引用次数: 0

Abstract

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.
下洗气流和侧风对四旋翼农用无人机喷雾性能影响的数值模拟
为研究农用无人机喷雾过程中旋翼下洗气流对雾滴动力学的影响,建立了三维气液耦合数值模型。系统分析了飞行速度(1 ~ 5 m/s)、飞行高度(2 ~ 4 m)和侧风(0 ~ 2 m/s)对雾滴沉积和漂移的协同效应。结果表明,无人机飞行速度的增加使下洗气流向后倾斜,加剧了较小液滴的漂移损失。较高的操作高度延长了液滴在气流中的停留时间,进一步增加了漂移风险。侧风速度与下洗气流偏转角度呈正相关,侧风作用下气流覆盖范围扩大;然而,增加侧风速意外地降低了液滴的偏转角。实验验证表明,模拟沉积与实测沉积之间的相对误差为27.2% ~ 30%,证实了模型的可靠性。该研究独特地揭示了侧风条件下液滴的漂移模式,为优化无人机喷雾操作提供了新的理论见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
4.20
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