A Method for Estimation of the Calibration Uncertainty of an External Six-Component Wind Tunnel Balance

Reis, M. L. C. C.; Mello, Olympio; Uyeno, Sadahaki; Sampaio, Osvaldo

doi:10.2514/6.2002-2793

Cited by 3 publications

(4 citation statements)

References 6 publications

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“…The results obtained in [11] were validated using two methods: Monte Carlo [18] and Neural Networks. These results are presented in [13].…”

Section: The Purpose Of the Papermentioning

confidence: 99%

“…The evolution of the analysis of balance calibration uncertainty at TA-2 and TTP facilities can be seen in [11][12][13][14]. These references present the data reduction employed to predict the aerodynamic forces and moments and associated uncertainties by applying least squares fitting to the calibration data [15,16].…”

Section: The Purpose Of the Papermentioning

confidence: 99%

“…Firstly, as the uncertainties in the calibration data were not known, the fitting was applied considering all the uncertainties in data points equal to 1 [11]. This was also done in Refs.…”

Section: The Purpose Of the Papermentioning

confidence: 99%

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Calibration uncertainty estimation of a strain-gage external balance

Reis

Castro²,

Mello

2013

Measurement

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“…The results obtained in [11] were validated using two methods: Monte Carlo [18] and Neural Networks. These results are presented in [13].…”

Section: The Purpose Of the Papermentioning

confidence: 99%

Section: The Purpose Of the Papermentioning

confidence: 99%

See 1 more Smart Citation

Calibration uncertainty estimation of a strain-gage external balance

Reis

Castro²,

Mello

2013

Measurement

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“…The other more involved methods of obtaining the balance uncertainty rely on the uncertainties of the curve fitting parameters of the calibration matrix or the goodness of the fit of the leastsquare multivariate regression Reis et al, 2004;Kammeyer and Rueger, 2008;Reis, Castro and Mello, 2013). The application of these methodologies will result in balance uncertainties that depend on the readings of the strain gages during a test (Reis et al, 2002). Once better estimates of the precision and bias limits become available in the future, the uncertainty results can be easily updated and improved, since the limits are entered as inputs in the algorithm.…”

Section: Validationmentioning

confidence: 99%

Uncertainty Analysis of Test Data at the NRC 1.5-Meter Trisonic Wind Tunnel

Fakhraei

Weiss

2016

32nd AIAA Aerodynamic Measurement Technology and Ground Testing Conference

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Ainsi, tous les efforts d'amélioration de la qualité des données devraient être concentrés sur la balance de la demi-maquette et les instruments de mesure de pression, afin de réduire leurs incertitudes. Les résultats des analyses ont été validés grâce à une méthode alternative de propagation des erreurs ainsi que par la comparaison des incertitudes aléatoires calculées avec la variabilité observée des paramètres de sortie. Cela étant, des estimations plus détaillées des biais et des erreurs de précision dans les mesures de la balance dynamométrique pourraient être bénéfiques à l'algorithme. Mots-clés: analyse d'incertitudes, soufflerie, aérodynamique UNCERTAINTY ANALYSIS OF TEST DATA AT THE NRC 1.5 METER TRISONIC WIND TUNNEL Samin FAKHRAEI ABSTRACTAn uncertainty analysis algorithm has been developed at the National Research Council of Canada (NRC) 1.5 meter trisonic wind tunnel in Ottawa, Ontario, in order to assess the data quality in the half-model experiments carried out by Bombardier Aerospace. The analysis follows the methodology recommended by the AIAA Standard S-071A-1999 to propagate the systematic and random errors in the measured variables through the complete data reduction routine, in order to calculate the overall uncertainties of the tunnel freestream parameters and the key aerodynamic force and moment coefficients in the form of a 95-percent confidence interval. Detailed breakdowns of the total uncertainties have been obtained to separately investigate the systematic and random components, and to identify the variables that have the largest contribution to the uncertainties. With the implementation of the developed algorithm, the uncertainties of the results are precisely quantified at every measurement point throughout an experiment. Hence, the analysis can be performed over a range of test conditions, aircraft model configurations, and angles of attack. The data of the most recent Bombardier experiments have been used to present the outcomes. The analyses reveal that the freestream properties are achieved with high accuracy at the NRC wind tunnel, as the uncertainties in the freestream Mach number and dynamic pressure are respectively limited to 0.4% and 0.7% of the desired nominal values. The uncertainties in the coefficients of lift and drag vary over the pitch sweep during a test due to the functional dependence on the normal and axial force, as well as the angle of attack. The magnitudes and the component breakdowns of the uncertainties in these coefficients also vary with the tunnel operating condition and from one test article to another. Nevertheless, the force and pressure measurements consistently appear to be the dominant contributors. Hence, any attempts to improve the data quality should focus on the half-model balance and the pressure measurement instruments to reduce their uncertainty. The analysis results have been validated through an alternative error propagation methodology, and also by comparing the calculated random uncertainties to the observed variability in the result par...

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