Comprehensive and Validated Computational Investigations of Structural Integrity, Aerodynamic Behavior, and Its Turbulence Characteristics on Agricultural Drone with and without Payload Devices

Author:

Stanislaus Arputharaj BeenaORCID,Jayakumar Shyam SundarORCID,Solaiappan Senthil KumarORCID,Raja VijayanandhORCID,Rajendran ParvathyORCID,Krishnamoorthy MaheswariORCID,Jeyaraj Hari PrasathORCID,Madasamy Senthil KumarORCID,Thaiyan Rajendran RagavendraORCID,Ahmed Ali Mahmood

Abstract

In recent years, multirotor unmanned aerial vehicles (MRUAVs) have seen increased investment and deployment for various novel uses, including intruder surveillance, agro farming, and crack detection in severe environments. An identical line of inquiry motivates this work, which aims to better use MRUAVs for agriculture. This study used an agricultural drone (AD) with a coaxial propeller. The proposed AD has increased stability compared to conventional ADs due to employing a coaxial rotor instead of one of the conventional rotors. The proposed AD can be customized to accommodate a wide range of design requirements; however, this investigation uses a payload weight of 2.5 kg. The coaxial propeller arrangement, the “Y” frame, and the fertilizer tank are among the many complex AD parts built efficiently with the help of the cutting‐edge tool CATIA. Predictions of flow behavior over the AD and its side effects are presented to confirm the built AD further. Eddy formation and the subsequent pressure drag developments on the AD are simulated using the province computational tool Ansys Fluent. Velocity profiles of fluid variations over the AD are studied after estimating vertical takeoff, vertical landing, and forward speed conditions for various flexible payloads equipped with MRUAV models. The AD’s minor influence allows the construction of eddy structures within and around it. Finally, AD’s structural displacements and failure factors under aerodynamic loads are commuted through the fluid‐structure interaction approach. The suggested agricultural drone, thus, is robust and well suited for multicomputational tool agricultural applications.

Publisher

Wiley

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3