Computational fluid dynamics investigation of aerodynamics for agricultural drones

IF 7.7 1区农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Computers and Electronics in Agriculture Pub Date : 2024-10-18 DOI:10.1016/j.compag.2024.109528

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Abstract

An extensive investigation of the aerodynamic characteristics of agricultural drones is important to improve the efficiency of agricultural production. In this study, a computational fluid dynamics (CFD) model that characterizes aerodynamics for agricultural drones was developed. The numerical simulations were performed to predict the lift force for an individual propeller and airflow fields for the drone. The CFD model was validated against the measured propeller lift force with respect to its rotating speed, and then eight turbulence models were examined to propose an appropriate one that would best predict the propeller lift force. Based on the simulation results, an analytical solution was derived to calculate the power consumption for the drone when hovering. Moreover, the flow fields for the agricultural drone were analyzed qualitatively and quantitatively, and the effect of crosswind speed on the propeller lift force was checked. The results demonstrate that the lift force and the power input of the propeller increase nonlinearly with the increase of propeller rotating speed, and obviously the power consumption to keep the drone hovering decreases while the total energy consumption increases during pesticide spraying.

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农用无人机空气动力学计算流体动力学研究

广泛研究农用无人机的空气动力学特性对于提高农业生产效率非常重要。在这项研究中，开发了一个能描述农用无人机空气动力学特性的计算流体动力学（CFD）模型。通过数值模拟预测了单个螺旋桨的升力和无人机的气流场。根据测量到的螺旋桨升力与其旋转速度的关系，对 CFD 模型进行了验证，然后对八个湍流模型进行了检查，以提出一个最适合预测螺旋桨升力的模型。根据模拟结果，得出了计算无人机悬停时耗电量的解析解。此外，还对农用无人机的流场进行了定性和定量分析，并检验了横风速度对螺旋桨升力的影响。结果表明，螺旋桨的升力和输入功率随螺旋桨转速的增加而非线性增加，在喷洒农药过程中，保持无人机悬停的功耗明显减少，而总能耗增加。

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来源期刊

Computers and Electronics in Agriculture 工程技术-计算机：跨学科应用

CiteScore

15.30

自引率

14.50%

发文量

800

审稿时长

62 days

期刊介绍： Computers and Electronics in Agriculture provides international coverage of advancements in computer hardware, software, electronic instrumentation, and control systems applied to agricultural challenges. Encompassing agronomy, horticulture, forestry, aquaculture, and animal farming, the journal publishes original papers, reviews, and applications notes. It explores the use of computers and electronics in plant or animal agricultural production, covering topics like agricultural soils, water, pests, controlled environments, and waste. The scope extends to on-farm post-harvest operations and relevant technologies, including artificial intelligence, sensors, machine vision, robotics, networking, and simulation modeling. Its companion journal, Smart Agricultural Technology, continues the focus on smart applications in production agriculture.