Uncertainty Analysis of NASA Glenn's 8- by 6- Foot Superonic Wind Tunnel

Stephens, Julia; Hubbard, Erin; Walter, Joel; McElroy, Tyler

doi:10.2514/6.2016-1148

Cited by 6 publications

(8 citation statements)

References 2 publications

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“…Such methodologies have been implemented already at many wind tunnels in North America including those at the NASA Langley, Marshall, Glenn and Ames Research Centers (Walter, Lawrence and Elder, 2010;Springer, 1999;Stephens et al, 2016;Ulbrich and Boone, 2004).…”

Section: List Of Figuresmentioning

confidence: 99%

“…At the (Stephens et al, 2016). They express that additional repeat data or specially designed tests are required in order to obtain more accurate estimates of the precision limits.…”

Section: Review Of the Literaturementioning

confidence: 99%

“…Bias sources in an experiment are related to residual errors after calibration, data acquisition methods, operator interaction, conceptual errors and math models used to adjust data (Walter, Lawrence and Elder, 2010). On the other hand, the random or precision errors are due to inability to obtain the exact same measurement twice, as a result of the effects such as noise, dynamic behavior of the instrument, or unidentified systematic uncertainties that present as random (Stephens et al, 2016).…”

Section: Uncertainty Analysis Overviewmentioning

confidence: 99%

“…Once the computational aspect of the analysis is validated, it is desired to assess the overall goodness of the total uncertainty estimates of the experimental results, which is in fact limited to the goodness of the bias and precision limit estimates that are propagated (Stephens et al, 2016). The focus has been on the random component of the uncertainty, exists between the random errors of these two variables (Stephens et al, 2016).…”

Section: Validationmentioning

confidence: 99%

“…The standard deviation of this generated population is an estimate of the combined uncertainty of the result (Coleman and Steele, 2009 , 1999). It is important that the effects of all the error sources are captured in the bias and precision limits of the independent variables, as the results of any uncertainty analysis are only as good as the estimates of the errors that are propagated through the data reduction equations to yield the final uncertainties (Stephens et al, 2016).…”

Section: Uncertainty Analysis Overviewmentioning

confidence: 99%

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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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Section: List Of Figuresmentioning

confidence: 99%

“…At the (Stephens et al, 2016). They express that additional repeat data or specially designed tests are required in order to obtain more accurate estimates of the precision limits.…”

Section: Review Of the Literaturementioning

confidence: 99%

Section: Uncertainty Analysis Overviewmentioning

confidence: 99%

Section: Validationmentioning

confidence: 99%

Section: Uncertainty Analysis Overviewmentioning

confidence: 99%

See 3 more Smart Citations

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

View full text Add to dashboard Cite

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Design, Analysis, and Wind Tunnel Evaluation of Novel Fabric-Covered Rotor Blades in Wind Energy Generation

Jelili,

Beyer,

Ritschel

2024

J. Phys.: Conf. Ser.

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This paper investigates the performance of a novel fabric-covered rotor blade. The study aims to address the need for cost-effective wind turbine blades by exploring the potential of textile-based materials. The research includes a comprehensive wind tunnel experiment to evaluate the aerodynamic response of the fabric-covered blade, compared to a traditional hard-shell blade. The experimental data are systematically processed and corrected for wind tunnel effects, providing valuable insights into the aerodynamic behavior of the novel blade. The results show that the fabric-covered blade, constructed from PTFE-coated fiberglass fabric, exhibits promising aerodynamic characteristics, with potential applications in reducing manufacturing expenses and enhancing power generation. The study concludes by proposing a novel control strategy leveraging the natural deformation of blades at high wind speeds, suggesting potential applications in limiting power output at high wind speeds. Overall, these findings contribute to the ongoing efforts in developing innovative and cost-efficient solutions for wind energy generation.

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