Calibration uncertainty estimation for internal aerodynamic balance
Autor(a) principal: | |
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Data de Publicação: | 2008 |
Outros Autores: | , , , |
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. |
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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 |