dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorReis, M. L C C
dc.creatorCastro, R. M.
dc.creatorFalcão, J. B P F
dc.creatorBarbosa, I. M.
dc.creatorMello, O. A F
dc.date2014-05-27T11:23:49Z
dc.date2016-10-25T18:26:39Z
dc.date2014-05-27T11:23:49Z
dc.date2016-10-25T18:26:39Z
dc.date2008-12-01
dc.date.accessioned2017-04-06T01:34:50Z
dc.date.available2017-04-06T01:34:50Z
dc.identifierProceedings of the 12th IMEKO TC1 Education and Training in Measurement and Instrumentation and TC7 Measurement Science Joint Symposium on Man, Science and Measurement 2008, p. 185-190.
dc.identifierhttp://hdl.handle.net/11449/70849
dc.identifierhttp://acervodigital.unesp.br/handle/11449/70849
dc.identifier2-s2.0-84872539184
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/891916
dc.descriptionAerodynamic balances are employed in wind tunnels to estimate the forces and moments acting on the model under test. This paper proposes a methodology for the assessment of uncertainty in the calibration of an internal multi-component aerodynamic balance. In order to obtain a suitable model to provide aerodynamic loads from the balance sensor responses, a calibration is performed prior to the tests by applying known weights to the balance. A multivariate polynomial fitting by the least squares method is used to interpolate the calibration data points. The uncertainties of both the applied loads and the readings of the sensors are considered in the regression. The data reduction includes the estimation of the calibration coefficients, the predicted values of the load components and their corresponding uncertainties, as well as the goodness of fit.
dc.languageeng
dc.relationProceedings of the 12th IMEKO TC1 Education and Training in Measurement and Instrumentation and TC7 Measurement Science Joint Symposium on Man, Science and Measurement 2008
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectCalibration uncertainty
dc.subjectInternal strain-gage balance
dc.subjectWind tunnel tests
dc.subjectApplied loads
dc.subjectCalibration coefficients
dc.subjectCalibration data
dc.subjectGoodness of fit
dc.subjectLeast squares methods
dc.subjectLoad components
dc.subjectMulticomponents
dc.subjectMultivariate polynomial
dc.subjectSensor response
dc.subjectCalibration
dc.subjectData reduction
dc.subjectEstimation
dc.subjectLeast squares approximations
dc.subjectMeasurements
dc.subjectSensors
dc.subjectWind tunnels
dc.subjectAerodynamics
dc.titleCalibration uncertainty estimation for internal aerodynamic balance
dc.typeOtro


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