Correction of rigid body motion in deformation measurement of rotating objects

Detalhes bibliográficos
Autor(a) principal: Pedro J. Sousa
Data de Publicação: 2018
Outros Autores: João Manuel R. S. Tavares, Paulo J. S. Tavares, Pedro M. G. P. Moreira
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/113373
Resumo: When using image-based measurement solutions for monitoring the displacement of rotating objects, it is necessary to trigger the image acquisition system at precise positions. Triggering errors lead to artificial rigid motions in the output that are hard to remove independently. Thus, a methodology was developed to enable the removal of these errors while maintaining the true rotations, such as those relating to the angle of attack. The proposed methodology involves detecting an object's axis and centre of rotation and then using that knowledge to correct acquired deformation data. Additionally, it also enables the representation of displacements in a more representative coordinate system, i.e., one that includes the rotation axis. While common solutions for this problem use either manually positioned references or track a single-point's rotation, the proposed methodology is based on a least-squares approach. This results in a more accurate measurement of the rotation axis and, thus, improves the quality of the results. The methodology was experimentally validated and it was shown that its implementation is accurate, with errors below 3%. Additionally, it was applied to an actual experimental situation and the results were compared to the uncorrected data, while highlighting the most relevant improvements.
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spelling Correction of rigid body motion in deformation measurement of rotating objectsCiências Tecnológicas, Ciências da engenharia e tecnologiasTechnological sciences, Engineering and technologyWhen using image-based measurement solutions for monitoring the displacement of rotating objects, it is necessary to trigger the image acquisition system at precise positions. Triggering errors lead to artificial rigid motions in the output that are hard to remove independently. Thus, a methodology was developed to enable the removal of these errors while maintaining the true rotations, such as those relating to the angle of attack. The proposed methodology involves detecting an object's axis and centre of rotation and then using that knowledge to correct acquired deformation data. Additionally, it also enables the representation of displacements in a more representative coordinate system, i.e., one that includes the rotation axis. While common solutions for this problem use either manually positioned references or track a single-point's rotation, the proposed methodology is based on a least-squares approach. This results in a more accurate measurement of the rotation axis and, thus, improves the quality of the results. The methodology was experimentally validated and it was shown that its implementation is accurate, with errors below 3%. Additionally, it was applied to an actual experimental situation and the results were compared to the uncorrected data, while highlighting the most relevant improvements.2018-122018-12-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleimage/pngapplication/pdfhttps://hdl.handle.net/10216/113373eng0263-224110.1016/j.measurement.2018.07.049Pedro J. SousaJoão Manuel R. S. TavaresPaulo J. S. TavaresPedro M. G. P. Moreirainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T13:54:45Zoai:repositorio-aberto.up.pt:10216/113373Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:50:36.035519Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Correction of rigid body motion in deformation measurement of rotating objects
title Correction of rigid body motion in deformation measurement of rotating objects
spellingShingle Correction of rigid body motion in deformation measurement of rotating objects
Pedro J. Sousa
Ciências Tecnológicas, Ciências da engenharia e tecnologias
Technological sciences, Engineering and technology
title_short Correction of rigid body motion in deformation measurement of rotating objects
title_full Correction of rigid body motion in deformation measurement of rotating objects
title_fullStr Correction of rigid body motion in deformation measurement of rotating objects
title_full_unstemmed Correction of rigid body motion in deformation measurement of rotating objects
title_sort Correction of rigid body motion in deformation measurement of rotating objects
author Pedro J. Sousa
author_facet Pedro J. Sousa
João Manuel R. S. Tavares
Paulo J. S. Tavares
Pedro M. G. P. Moreira
author_role author
author2 João Manuel R. S. Tavares
Paulo J. S. Tavares
Pedro M. G. P. Moreira
author2_role author
author
author
dc.contributor.author.fl_str_mv Pedro J. Sousa
João Manuel R. S. Tavares
Paulo J. S. Tavares
Pedro M. G. P. Moreira
dc.subject.por.fl_str_mv Ciências Tecnológicas, Ciências da engenharia e tecnologias
Technological sciences, Engineering and technology
topic Ciências Tecnológicas, Ciências da engenharia e tecnologias
Technological sciences, Engineering and technology
description When using image-based measurement solutions for monitoring the displacement of rotating objects, it is necessary to trigger the image acquisition system at precise positions. Triggering errors lead to artificial rigid motions in the output that are hard to remove independently. Thus, a methodology was developed to enable the removal of these errors while maintaining the true rotations, such as those relating to the angle of attack. The proposed methodology involves detecting an object's axis and centre of rotation and then using that knowledge to correct acquired deformation data. Additionally, it also enables the representation of displacements in a more representative coordinate system, i.e., one that includes the rotation axis. While common solutions for this problem use either manually positioned references or track a single-point's rotation, the proposed methodology is based on a least-squares approach. This results in a more accurate measurement of the rotation axis and, thus, improves the quality of the results. The methodology was experimentally validated and it was shown that its implementation is accurate, with errors below 3%. Additionally, it was applied to an actual experimental situation and the results were compared to the uncorrected data, while highlighting the most relevant improvements.
publishDate 2018
dc.date.none.fl_str_mv 2018-12
2018-12-01T00:00:00Z
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dc.identifier.uri.fl_str_mv https://hdl.handle.net/10216/113373
url https://hdl.handle.net/10216/113373
dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv 0263-2241
10.1016/j.measurement.2018.07.049
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