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Unsteady pressure measurements on a MAV wing for the design of a turbulence mitigation system

机译:用于MAV WING的不稳定压力测量,用于设计湍流缓解系统

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Experiments at low Reynolds numbers were performed on a pressure tapped NACA2313 wing in a 3 × 2 × 9 meter wind tunnel under nominally smooth (Ti = 1.2%) and turbulent (Ti = 7.2%) flows at a mean flow velocity of 8ms−1 (Re ≈ 120,000). Unsteady surface pressures were measured to understand if this information could be used to resolve for turbulence-induced perturbations and furthermore utilize this information in a turbulence mitigation system. Although pressure tapping the majority of the chord is inevitability impractical for MAV application, it was discovered that a point local Coefficient of Pressure (Cp) held high correlation to the chord-wise Cp integration and allowed for a linear relationship to be formed between the two variables. The defined relationship provided a 95% confidence for angles of attack below stall and can be used to estimate the integrated cord-wise pressure coefficient at a particular span wise location. The relationship between a single pressure tap and the integrated Cp of that chord-wise section was valid for each two different span-wise locations with similar defining equations. As one pressure tap can be used to adequately estimate the integrated Cp on a chord-wise wing section, a limited amount of pressure taps across the wings span can approximate the pressure distribution across the span and approximate flight perturbations. This paper focusses on the implementation of unsteady pressure measurement and autopilot control logics for turbulence detection and mitigation.
机译:在低雷诺数实验是在压力下进行轻敲NACA2313翼在一个3×2×9米风洞下名义上光滑(TI = 1.2%)和湍流(TI = 7.2%)在8ms的-1的平均流速流动(再≈120,000)。测量不稳定的表面压力,以了解是否该信息可以被用来解决湍流诱发的扰动和进一步利用在湍流减轻系统此信息。虽然压力攻大多数和弦的是必然性不切实际的MAV应用,人们发现压力(CP)的点当地系数保持较高的相关性,以弦向的Cp整合和允许的线性关系,两者之间形成变量。所定义的关系提供了一种用于下面失速的迎角95%的置信并且可以用于在特定的翼展位置来估计集成索明智压力系数。单个压力抽头并且弦向截面的集成的CP之间的关系是有效的具有相似的方程限定每两个不同翼展位置。作为一个压力抽头可以被用来适当地估计集成的CP上的弦向翼部,压力抽头的有限量的横跨机翼跨度可以近似整个跨度和近似飞行扰动的压力分布。本文就不稳定压力测量和自动驾驶仪的控制逻辑的执行湍流检测和缓解论点集中。

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