科技报告详细信息
Influence of Strain-Gage Balance Characteristics on the Precision Error of the Drag Coefficient
Ulbrich, N ; L'Esperance, A
关键词: STRAIN GAGE BALANCES;    AERODYNAMIC DRAG;    PRECISION;    ERRORS;    ERROR ANALYSIS;    AERODYNAMIC COEFFICIENTS;    DYNAMIC PRESSURE;    LOADS (FORCES);    TRANSONIC WIND TUNNELS;    WIND TUNNEL MODELS;    WIND TUNNEL TESTS;   
RP-ID  :  ARC-E-DAA-TN63164
学科分类:航空航天科学
美国|英语
来源: NASA Technical Reports Server
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【 摘 要 】
Improvements and results of a new method are presented that computes a pre-test estimate of the precision error of the drag coefficient of a wind tunnel model. The error estimate is defined as the part of the drag coefficient's precision error that is primarily associated with the precision error of the angle of attack measurement and physical characteristics of the chosen strain-gage balance. The method indirectly describes the precision error of the angle of attack measurement by using an assumed balance gage output variation of one microV/V. The physical characteristics of the balance, on the other hand, are described by partial derivatives of the axial and normal forces with respect to the strain-gage outputs. These derivatives can directly be obtained from the data reduction matrix of the balance. The precision error estimate itself is calculated by applying a simple explicit equation that uses the model reference area, the dynamic pressure, the angle of attack, the coefficients of the linear terms of the data reduction matrix, and the electrical output variation of one microvolt per volt as input. Precision errors at constant angle of attack may be visualized as contour plots by plotting them, for example, versus the Mach number and the total pressure. Characteristics of NASA's MC60E balance are used in combination with the reference area of a generic wind tunnel model in order to demonstrate that error estimates are independent of both the balance load format and the units chosen for the description of balance loads, model reference area, and the dynamic pressure. Finally, experimental data from a wind tunnel test of the Ames Check Standard Model in the NASA Ames 11-foot Transonic Wind Tunnel illustrates the application of the method to real-world test data.
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