Department of Electronics and Communication, University of Allahabad, Prayagraj 211002, Uttar Pradesh, India.
Department of Computer Science, Cardiff School of Technologies, Cardiff Metropolitan University, Cardiff Llandaff Campus, Cardiff CF5 2YB, UK.
Sensors (Basel). 2022 Jul 22;22(15):5477. doi: 10.3390/s22155477.
Recent years have witnessed rapid development and great indignation burgeoning in the unmanned aerial vehicles (UAV) field. This growth of UAV-related research contributes to several challenges, including inter-communication from vehicle to vehicle, transportation coverage, network information gathering, network interworking effectiveness, etc. Due to ease of usage, UAVs have found novel applications in various areas such as agriculture, defence, security, medicine, and observation for traffic-monitoring applications. This paper presents an innovative drone system by designing and developing a blended-wing-body (BWB)-based configuration for next-generation drone use cases. The proposed method has several benefits, including a very low interference drag, evenly distributed load inside the body, and less radar signature compared to the state-of-the-art configurations. During the entire procedure, a standard design approach was followed to optimise the BWB framework for next-generation use cases by considering the typically associated parameters such as vertical take-off and landing and drag and stability of the BWB. Extensive simulation experiments were performed to carry out a performance analysis of the proposed model in a software-based environment. To further confirm that the model design of the BWB-UAV is fit to execute the targeted missions, the real-time working environments were tested through advanced numerical simulation and focused on avoiding cost and unwanted wastages. To enhance the trustworthiness of this said computational fluid dynamics (CFD) analysis, grid convergence test-based validation was also conducted. Two different grid convergence tests were conducted on the induced velocity of the Version I UAV and equivalent stress of the Version II UAV. Finite element analysis-based computations were involved in estimating structural outcomes. Finally, the mesh quality was obtained as 0.984 out of 1. The proposed model is very cost-effective for performing a different kind of manoeuvring activities with the help of its unique design at reasonable mobility speed and hence can be modelled for high-speed-based complex next-generation use cases.
近年来,无人机(UAV)领域发展迅速,令人瞩目。这一与 UAV 相关的研究的增长带来了一些挑战,包括车对车之间的通信、交通覆盖范围、网络信息收集、网络互操作性等。由于使用方便,无人机在农业、国防、安全、医疗和交通监测等各个领域都有了新的应用。本文通过设计和开发基于混合翼体(BWB)的配置,为下一代无人机用例提出了一种创新的无人机系统。所提出的方法具有几个优点,包括非常低的干扰阻力、均匀分布的机身内部载荷以及与现有配置相比更少的雷达特征。在整个过程中,遵循了标准的设计方法,通过考虑垂直起降和 BWB 的阻力和稳定性等典型相关参数,对 BWB 框架进行了优化,以适应下一代用例。在基于软件的环境中进行了广泛的模拟实验,以对所提出模型的性能进行分析。为了进一步确认 BWB-UAV 的模型设计适合执行目标任务,通过先进的数值模拟测试了实时工作环境,并重点避免了成本和不必要的浪费。为了提高所述计算流体动力学(CFD)分析的可信度,还进行了基于网格收敛测试的验证。对版本 I UAV 的诱导速度和版本 II UAV 的等效应力进行了两次不同的网格收敛测试。有限元分析计算用于估计结构结果。最后,网格质量为 1 中的 0.984。所提出的模型非常具有成本效益,能够以合理的机动性速度帮助执行不同类型的机动活动,因此可以为基于高速的复杂下一代用例建模。