Long-Term Quantitative Study of Wind-Tunnel Balance Calibrations Across Multiple Calibration Systems
Date of Award
Spring 2016
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Mechanical & Aerospace Engineering
Program/Concentration
Aerospace Engineering
Committee Director
Drew Landman
Committee Member
Colin Britcher
Committee Member
Brett Newman
Abstract
Internal strain-gauge balances are multi-dimensional force transducers widely employed in wind tunnels to obtain accurate aerodynamic force and moment data on an aircraft model. Balances are calibrated periodically to assure measurement accuracy. The calibration provides a mathematical model relating the forces applied to the balance and the output signal from the balance. Currently, there are multiple types of internal strain-gauge balances used in wind-tunnel testing as well as multiple methods by which balances are calibrated. Because of the differences in the hardware and methodologies used to calibrate a wind-tunnel balance, it is hard to quantify the differences seen between the calibration results. The purpose of this study is to understand how the calibration of a balance is affected by the calibration system. Additionally, the study examines how the performance of a balance changes over time from a calibration perspective. These differences are quantified across different types of balances and different types of calibration systems. The long-term study employs multiple rigorous statistical methods as well as statistical process control techniques to provide insight into the stability of a process over time.
Rights
In Copyright. URI: http://rightsstatements.org/vocab/InC/1.0/ This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
DOI
10.25777/09b8-cm59
ISBN
9781339837451
Recommended Citation
Callahan, Ryan J..
"Long-Term Quantitative Study of Wind-Tunnel Balance Calibrations Across Multiple Calibration Systems"
(2016). Master of Science (MS), Thesis, Mechanical & Aerospace Engineering, Old Dominion University, DOI: 10.25777/09b8-cm59
https://digitalcommons.odu.edu/mae_etds/3