Calibration uncertainty estimation for internal aerodynamic balance

Detalhes bibliográficos
Autor(a) principal: Reis, M. L C C
Data de Publicação: 2008
Outros Autores: Castro, R. M., Falcão, J. B P F, Barbosa, I. M. [UNESP], Mello, O. A F
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/70849
Resumo: Aerodynamic 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.
id UNSP_fa5d451b80f497d37197a8c958732bd3
oai_identifier_str oai:repositorio.unesp.br:11449/70849
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling Calibration uncertainty estimation for internal aerodynamic balanceCalibration uncertaintyInternal strain-gage balanceWind tunnel testsApplied loadsCalibration coefficientsCalibration dataGoodness of fitLeast squares methodsLoad componentsMulticomponentsMultivariate polynomialSensor responseCalibrationData reductionEstimationLeast squares approximationsMeasurementsSensorsWind tunnelsAerodynamicsAerodynamic 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.Instituto de Aeronáutica e Espaço São José Dos CamposInstituto de Estudos Avançados São José Dos CamposSão Paulo State University, São PauloSão Paulo State University, São PauloSão José Dos CamposUniversidade Estadual Paulista (Unesp)Reis, M. L C CCastro, R. M.Falcão, J. B P FBarbosa, I. M. [UNESP]Mello, O. A F2014-05-27T11:23:49Z2014-05-27T11:23:49Z2008-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject185-190Proceedings 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.http://hdl.handle.net/11449/708492-s2.0-84872539184Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings of the 12th IMEKO TC1 Education and Training in Measurement and Instrumentation and TC7 Measurement Science Joint Symposium on Man, Science and Measurement 2008info:eu-repo/semantics/openAccess2021-10-23T21:37:56Zoai:repositorio.unesp.br:11449/70849Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T21:37:56Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Calibration uncertainty estimation for internal aerodynamic balance
title Calibration uncertainty estimation for internal aerodynamic balance
spellingShingle Calibration uncertainty estimation for internal aerodynamic balance
Reis, M. L C C
Calibration uncertainty
Internal strain-gage balance
Wind tunnel tests
Applied loads
Calibration coefficients
Calibration data
Goodness of fit
Least squares methods
Load components
Multicomponents
Multivariate polynomial
Sensor response
Calibration
Data reduction
Estimation
Least squares approximations
Measurements
Sensors
Wind tunnels
Aerodynamics
title_short Calibration uncertainty estimation for internal aerodynamic balance
title_full Calibration uncertainty estimation for internal aerodynamic balance
title_fullStr Calibration uncertainty estimation for internal aerodynamic balance
title_full_unstemmed Calibration uncertainty estimation for internal aerodynamic balance
title_sort Calibration uncertainty estimation for internal aerodynamic balance
author Reis, M. L C C
author_facet Reis, M. L C C
Castro, R. M.
Falcão, J. B P F
Barbosa, I. M. [UNESP]
Mello, O. A F
author_role author
author2 Castro, R. M.
Falcão, J. B P F
Barbosa, I. M. [UNESP]
Mello, O. A F
author2_role author
author
author
author
dc.contributor.none.fl_str_mv São José Dos Campos
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Reis, M. L C C
Castro, R. M.
Falcão, J. B P F
Barbosa, I. M. [UNESP]
Mello, O. A F
dc.subject.por.fl_str_mv Calibration uncertainty
Internal strain-gage balance
Wind tunnel tests
Applied loads
Calibration coefficients
Calibration data
Goodness of fit
Least squares methods
Load components
Multicomponents
Multivariate polynomial
Sensor response
Calibration
Data reduction
Estimation
Least squares approximations
Measurements
Sensors
Wind tunnels
Aerodynamics
topic Calibration uncertainty
Internal strain-gage balance
Wind tunnel tests
Applied loads
Calibration coefficients
Calibration data
Goodness of fit
Least squares methods
Load components
Multicomponents
Multivariate polynomial
Sensor response
Calibration
Data reduction
Estimation
Least squares approximations
Measurements
Sensors
Wind tunnels
Aerodynamics
description Aerodynamic 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.
publishDate 2008
dc.date.none.fl_str_mv 2008-12-01
2014-05-27T11:23:49Z
2014-05-27T11:23:49Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv Proceedings 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.
http://hdl.handle.net/11449/70849
2-s2.0-84872539184
identifier_str_mv Proceedings 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.
2-s2.0-84872539184
url http://hdl.handle.net/11449/70849
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Proceedings 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.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 185-190
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1799965507296690176