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Regression Analysis and Calibration Recommendations for the Characterization of Balance Temperature EffectsAnalysis and use of temperature-dependent wind tunnel strain-gage balance calibration data are discussed in the paper. First, three different methods are presented and compared that may be used to process temperature-dependent strain-gage balance data. The first method uses an extended set of independent variables in order to process the data and predict balance loads. The second method applies an extended load iteration equation during the analysis of balance calibration data. The third method uses temperature-dependent sensitivities for the data analysis. Physical interpretations of the most important temperature-dependent regression model terms are provided that relate temperature compensation imperfections and the temperature-dependent nature of the gage factor to sets of regression model terms. Finally, balance calibration recommendations are listed so that temperature-dependent calibration data can be obtained and successfully processed using the reviewed analysis methods.
Document ID
20180002963
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Ulbrich, N. (Jacobs Technology, Inc. Moffett Field, CA, United States)
Volden, T. (Jacobs Technology, Inc. Moffett Field, CA, United States)
Date Acquired
May 21, 2018
Publication Date
May 14, 2018
Subject Category
Instrumentation And Photography
Research And Support Facilities (Air)
Report/Patent Number
ARC-E-DAA-TN53504
Meeting Information
Meeting: International Symposium on Strain-Gauge Balances
Location: Cologne
Country: Germany
Start Date: May 14, 2018
End Date: May 17, 2018
Sponsors: European Transonic Wind Tunnel
Funding Number(s)
CONTRACT_GRANT: NNA16BD26C
Distribution Limits
Public
Copyright
Public Use Permitted.
Keywords
wind tunnel test
strain-gage balance
calibration data analysis

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