First Degree Polynomial Fitting for Forces and Moments on the Aerodynamic Test Model

Abstract

We analyzed a multivariate polynomial model related to Calibration Curve of an External Balance of Aerodynamic Forces. The ISO 17025 explicit that it is not always possible to calculate rigorously the measurement uncertainty in Test Laboratories. The test nature circumscribes error sources control, time and costs. This fact implies that choosing a Mathematical Modeling is also an affair of productivity management, not only a computational matter. For a First Degree Polynomial Modeling we evaluated the Statistical Performance Index, as to Measurement Bias, Standard Uncertainty, X – Square and Uncertainties and Co – Variances Matrix. We evaluated the Measurement System Repeatability through successive resembling Calibrations. We showed Aerodynamic Forces that may be considered individual ones trough uncertainties and systematic errors. In the same way, bias was verified through systematic error analysis, i. e., in what conditions the polynomial intersects at the origin or not.