Calibration Accuracy for Constant Temperature Thermal Anemometer
Publication: Journal of Hydraulic Engineering
Volume 130, Issue 8
Abstract
Thermal anemometry is widely used to measure fluid velocity and boundary shear stress. Sensor calibration is required and results in a nonlinear equation with anemometer voltage as a function of fluid velocity or shear stress. Uncertainties in the parameters of the nonlinear equation are a source of uncertainty in measured values. A method for quantifying the calibration accuracy is presented using regression analysis with 95% confidence and prediction intervals. The proposed method is applied to shear stress measurements of a calibrated flush-mounted hot-film sensor. Shear stresses ranged from 0.6 to 6.8 Pa. Calibration accuracy was found to be within 15% of the absolute shear.
Get full access to this article
View all available purchase options and get full access to this article.
References
Breuer, K. S.(1995). “Stochastic calibration of sensors in turbulent flow fields.” Exp. Fluids, 19(2), 138–141.
Bruun, H. H. (1995). Hot-wire anemometry: Principles and signal analysis, Oxford University Press, New York.
Buresti, G., and Talamelli, A.(1992). “On the error sensitivity of calibration procedures for normal hot-wire probes.” Meas. Sci. Technol., 3, 17–26.
Devore, J. L. (2001). Probability and statistics for engineering and the sciences, Duxbury, New York.
Draper. N. R., and Smith, H. (1998). Applied regression analysis, Wiley, New York.
Fingerson, L. M., and Freymouth, P. (1996). “Thermal anemometers.” Fluid mechanics measurements, R. J. Goldstein, ed., Taylor and Francis, Washington, D.C., 115–173.
Garcia, M. H., Admiraal, D. M., Rodriguez, J., and Lopez, F. (1998). “Navigation-induced bed shear stresses: Laboratory measurements, data analysis, and application.” Civil Engineering Studies, Hydraulic Engineering Series No. 56, University of Illinois, Urbana, Ill.
Gershenfeld, N. A., and Weigend, A. S. (1993). “The future of time series: learning and understanding.” Time series prediction: forecasting the future and understanding the past, A. S. Weigend and N. A. Gershenfeld, eds., Proc. Santa Fe Institute Studies in the Sciences of Complexity Series, Perseus, Addison-Wesley, Reading, Mass., 1–70.
Hanratty, T. J., and Campbell, J. A. (1996). “Measurement of wall shear stress.” Fluid mechanics measurements, R. J. Goldstein, ed., Taylor and Francis, Washington, D.C., 575–648.
Lekakis, I.(1996). “Calibration and signal interpretation for single and multiple hot-wire/hot-film probes.” Meas. Sci. Technol., 7, 1313–1333.
Li, M. Z.(1994). “Direct skin friction measurements and stress partitioning over movable sand ripples.” J. Geophys. Res., [Oceans], 99(C1), 791–799.
Robinson, K. M.(1989). “Hydraulic stresses on an overfall boundary.” Trans. ASAE, 32(4), 1269–1274.
Samways, A. L., Ali, J., Al-Deen, M. F. N., and Bruun, H. H.(1994). “The calibration of and measurements with cylindrical hot-film probes in water flows.” Meas. Sci. Technol., 5, 1551–1559.
Sheplak, M., Padmanabhan, A., Schmidt, M. A., and Breuer, K. S. (1998). “Dynamic calibration of a shear stress sensor using Stokes layer excitation.” Proc., 36th AIAA Aerospace Sciences Meeting, Reno, Nev., Paper 98-0585.
Thompson, A. M. (2001). “Shear stress partitioning for vegetation and erosion control blankets.” PhD thesis, Biosystems and Agricultural Engineering, Univ. of Minnesota, St. Paul, Minn.
Information & Authors
Information
Published In
Copyright
Copyright © 2004 American Society of Civil Engineers.
History
Received: Jul 24, 2002
Accepted: Jan 20, 2004
Published online: Jul 15, 2004
Published in print: Aug 2004
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.