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Hybrid Wing Body Model Identification Using Forced-Oscillation Water Tunnel Data

机译:基于强迫振荡水隧道数据的混合机翼模型识别

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摘要

Static and dynamic testing of the NASA 0.7 percent scale Hybrid Wing Body (HWB) configuration was conducted in the Rolling Hills Research Corporation water tunnel to investigate aerodynamic behavior over a large range of angle-of-attack and to develop models that can predict aircraft response in nonlinear unsteady flight regimes. This paper reports primarily on the longitudinal axis results. Flow visualization tests were also performed. These tests provide additional static data and new dynamic data that complement tests conducted at NASA Langley 14- by 22-Foot Subsonic Tunnel. HWB was developed to support the NASA Environmentally Responsible Aviation Project goals of lower noise, emissions, and fuel burn. This study also supports the NASA Aviation Safety Program efforts to model and control advanced transport configurations in loss-of-control conditions.
机译:NASA 0.7%级混合翼体(HWB)配置的静态和动态测试是在轧制山丘研究公司水隧道中进行的,以研究大量攻击角度和开发可以预测飞机应答的模型的空气动力学行为在非线性不稳定的飞行制度中。本文主要报告纵轴结果。还进行了流量可视化测试。这些测试提供了额外的静态数据和新的动态数据,这些动态数据在NASA Langley 14-乘坐了22英尺亚源隧道中进行了补充测试。开发了HWB,支持NASA环保航空项目的降低噪音,排放和燃料燃烧。本研究还支持美国宇航局航空安全计划努力模拟和控制控制丧失控制条件的高级传输配置。

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