Research on UAV Downwash Airflow and Wind-Induced Response Characteristics of Rapeseed Seedling Stage Based on Computational Fluid Dynamics Simulation

Qilong Wang, Yilin Ren (), Haojie Wang, Jiansong Wang, Guangsheng Zhou, Yang Yang, Zhiwei Xie and Xiaotian Bai
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Qilong Wang: College of Engineering, Huazhong Agricultural University, Wuhan 430070, China
Yilin Ren: College of Engineering, Huazhong Agricultural University, Wuhan 430070, China
Haojie Wang: College of Engineering, Huazhong Agricultural University, Wuhan 430070, China
Jiansong Wang: College of Engineering, Huazhong Agricultural University, Wuhan 430070, China
Guangsheng Zhou: College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
Yang Yang: College of Engineering, Huazhong Agricultural University, Wuhan 430070, China
Zhiwei Xie: College of Engineering, Huazhong Agricultural University, Wuhan 430070, China
Xiaotian Bai: College of Engineering, Huazhong Agricultural University, Wuhan 430070, China

Agriculture, 2024, vol. 14, issue 8, 1-20

Abstract: Multi-rotor unmanned aerial vehicles (UAVs) are increasingly prevalent due to technological advancements. During rapeseed’s seedling stage, UAV-generated airflow, known as wind-induced response, affects leaf movement, tied to airflow speed and distribution. Understanding wind-induced response aids early rapeseed lodging prediction. Determining airflow distribution at various UAV heights is crucial for wind-induced response study, yet lacks theoretical guidance. In this study, Computational Fluid Dynamics (CFD) was employed to analyze airflow distribution at different UAV heights. Fluid–solid coupling simulation assessed 3D rapeseed model motion and surface pressure distribution in UAV downwash airflow. Validation occurred via wind speed experiments. Optimal uniform airflow distribution was observed at 2 m UAV height, with a wind speed variation coefficient of 0.258. The simulation showed greater vertical than horizontal leaf displacement, with elastic modulus inversely affecting displacement and leaf area directly. Discrepancies within 10.5% in the 0.5–0.8 m height range above the rapeseed canopy validated simulation accuracy. This study guides UAV height selection, leaf point determination, and wind-induced response parameter identification for rapeseed seedling stage wind-induced response research.

Keywords: Computational Fluid Dynamics; wind-induced response; downwash airflow; rapeseed (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2024
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