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CONCEPTUAL AND AERODYNAMIC DESIGN OF A UAV FOR SUPERFICIAL VOLCANO MONITORING

机译:微型火山监测无人机的概念和气动设计

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Unmanned systems have ideal characteristics to recognize areas of difficult access, performing missions that could not be made with traditional manned aircraft. Hence, nowadays, Unmanned Aerial Vehicles (UAVs) technology has improved considerably.One of the main drawbacks in the monitoring of an active volcano is the inability to fly between a large gas plumes due to the possible entrance of volcanic ash into the aircraft engine.Accordingly, the physical risk of pilots and scientist that investigate volcanoes aboard of an aircraft is great, if an unexpected event occurs.Under these limitations, a UAV design is proposed for superficial volcano monitoring, with the mission to transmit real time data to a remote location, preventing the exposition of people to these flight conditions.The conceptual design process was carried out with the implementation of a parametric study, using statistical entropy and constraint analysis, in order to determine the minimum value of wing area and thrust required to perform the mission. For the aerodynamic design, analytical studies were developed, through the determination of the aerodynamics, performance and longitudinal stability characteristics.Finally, the aerodynamic coefficients of the wing and the full configuration were evaluated with Computational Fluid Dynamics (CFD) simulations. The numerical results are greatly similar in the lift (CL), drag (CD) and moment (CM) coefficients, when these are compared with the analytical results. Consequently, the results show, on a large scale, as would be the aerodynamic behavior of the UAV performing the established mission.
机译:无人系统具有理想的特征,可以识别难以进入的区域,执行传统载人飞机无法完成的任务。因此,如今,无人飞行器(UAV)技术已得到了很大的改进。 监视活动火山的主要缺点之一是由于火山灰可能进入飞机发动机,因此无法在大型气体羽流之间飞行。 因此,如果发生意外事件,则对飞机上的火山进行调查的飞行员和科学家的身体风险很大。 在这些限制下,有人提出了一种用于浅层火山监测的无人机设计,其任务是将实时数据传输到远程位置,以防止人们暴露在这些飞行条件下。 为了确定执行任务所需的机翼面积和推力的最小值,在进行参数研究的过程中使用了统计熵和约束分析进行了概念设计过程。对于空气动力学设计,通过确定空气动力学,性能和纵向稳定性特征,进行了分析研究。 最后,通过计算流体动力学(CFD)仿真评估了机翼和整个构型的空气动力学系数。当将这些系数与分析结果进行比较时,数值结果在升力(CL),阻力(CD)和力矩(CM)方面非常相似。因此,结果大规模显示了执行既定任务的无人机的空气动力学行为。

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