Load cells calibration with a low cost data acquisition system
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Revista Brasileira de Física Tecnológica Aplicada |
Texto Completo: | https://periodicos.utfpr.edu.br/rbfta/article/view/10125 |
Resumo: | In the present work, an experimental analysis was performed to obtain the calibration curve of three load cells connected in series. The control of the load applied on a given component is an important factor in some engineering applications, for example, in cases where it is desired to increase the heat exchange between two surfaces. One of the ways to control the applied load is the use of load cells, which has as its principle of use a strain gauge that has its resistance varied when it undergoes a deformation, thus causing a voltage variation due to the application of load. This study used an ArduinoTM microcontroller as a data acquisition system and blocks with known mass for load application. In this way it was possible to obtain the calibration curve of the load cells by means of linear regression between the mass of the blocks and the data obtained by the ArduinoTM microcontroller and verify their applicability according to their measurement uncertainties. |
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Revista Brasileira de Física Tecnológica Aplicada |
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Load cells calibration with a low cost data acquisition system3.04.00.00-7Load cells; ArduinoTM; load cells calibration.In the present work, an experimental analysis was performed to obtain the calibration curve of three load cells connected in series. The control of the load applied on a given component is an important factor in some engineering applications, for example, in cases where it is desired to increase the heat exchange between two surfaces. One of the ways to control the applied load is the use of load cells, which has as its principle of use a strain gauge that has its resistance varied when it undergoes a deformation, thus causing a voltage variation due to the application of load. This study used an ArduinoTM microcontroller as a data acquisition system and blocks with known mass for load application. In this way it was possible to obtain the calibration curve of the load cells by means of linear regression between the mass of the blocks and the data obtained by the ArduinoTM microcontroller and verify their applicability according to their measurement uncertainties.Universidade Tecnológica Federal do Paraná (UTFPR)Machado, Pedro Leineker OchoskiFachini, Luis Vitorio GulineliMachado, Vitor Otávio OchoskiSzmoski, Romeu MiqueiasAlves, Thiago Antonini2019-04-24info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.utfpr.edu.br/rbfta/article/view/1012510.3895/rbfta.v6n1.10125Revista Brasileira de Física Tecnológica Aplicada; v. 6, n. 1 (2019)2358-008910.3895/rbfta.v6n1reponame:Revista Brasileira de Física Tecnológica Aplicadainstname:Universidade Tecnológica Federal do Paraná (UTFPR)instacron:UTFPRporhttps://periodicos.utfpr.edu.br/rbfta/article/view/10125/6315Direitos autorais 2019 CC-BYhttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccess2019-12-02T13:21:39Zoai:periodicos.utfpr:article/10125Revistahttps://periodicos.utfpr.edu.br/rbftaPUBhttps://periodicos.utfpr.edu.br/rbfta/oai||rbfta-pg@utfpr.edu.br2358-00892358-0089opendoar:2019-12-02T13:21:39Revista Brasileira de Física Tecnológica Aplicada - Universidade Tecnológica Federal do Paraná (UTFPR)false |
dc.title.none.fl_str_mv |
Load cells calibration with a low cost data acquisition system |
title |
Load cells calibration with a low cost data acquisition system |
spellingShingle |
Load cells calibration with a low cost data acquisition system Machado, Pedro Leineker Ochoski 3.04.00.00-7 Load cells; ArduinoTM; load cells calibration. |
title_short |
Load cells calibration with a low cost data acquisition system |
title_full |
Load cells calibration with a low cost data acquisition system |
title_fullStr |
Load cells calibration with a low cost data acquisition system |
title_full_unstemmed |
Load cells calibration with a low cost data acquisition system |
title_sort |
Load cells calibration with a low cost data acquisition system |
author |
Machado, Pedro Leineker Ochoski |
author_facet |
Machado, Pedro Leineker Ochoski Fachini, Luis Vitorio Gulineli Machado, Vitor Otávio Ochoski Szmoski, Romeu Miqueias Alves, Thiago Antonini |
author_role |
author |
author2 |
Fachini, Luis Vitorio Gulineli Machado, Vitor Otávio Ochoski Szmoski, Romeu Miqueias Alves, Thiago Antonini |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
|
dc.contributor.author.fl_str_mv |
Machado, Pedro Leineker Ochoski Fachini, Luis Vitorio Gulineli Machado, Vitor Otávio Ochoski Szmoski, Romeu Miqueias Alves, Thiago Antonini |
dc.subject.por.fl_str_mv |
3.04.00.00-7 Load cells; ArduinoTM; load cells calibration. |
topic |
3.04.00.00-7 Load cells; ArduinoTM; load cells calibration. |
description |
In the present work, an experimental analysis was performed to obtain the calibration curve of three load cells connected in series. The control of the load applied on a given component is an important factor in some engineering applications, for example, in cases where it is desired to increase the heat exchange between two surfaces. One of the ways to control the applied load is the use of load cells, which has as its principle of use a strain gauge that has its resistance varied when it undergoes a deformation, thus causing a voltage variation due to the application of load. This study used an ArduinoTM microcontroller as a data acquisition system and blocks with known mass for load application. In this way it was possible to obtain the calibration curve of the load cells by means of linear regression between the mass of the blocks and the data obtained by the ArduinoTM microcontroller and verify their applicability according to their measurement uncertainties. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-04-24 |
dc.type.none.fl_str_mv |
|
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.utfpr.edu.br/rbfta/article/view/10125 10.3895/rbfta.v6n1.10125 |
url |
https://periodicos.utfpr.edu.br/rbfta/article/view/10125 |
identifier_str_mv |
10.3895/rbfta.v6n1.10125 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://periodicos.utfpr.edu.br/rbfta/article/view/10125/6315 |
dc.rights.driver.fl_str_mv |
Direitos autorais 2019 CC-BY http://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Direitos autorais 2019 CC-BY http://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Tecnológica Federal do Paraná (UTFPR) |
publisher.none.fl_str_mv |
Universidade Tecnológica Federal do Paraná (UTFPR) |
dc.source.none.fl_str_mv |
Revista Brasileira de Física Tecnológica Aplicada; v. 6, n. 1 (2019) 2358-0089 10.3895/rbfta.v6n1 reponame:Revista Brasileira de Física Tecnológica Aplicada instname:Universidade Tecnológica Federal do Paraná (UTFPR) instacron:UTFPR |
instname_str |
Universidade Tecnológica Federal do Paraná (UTFPR) |
instacron_str |
UTFPR |
institution |
UTFPR |
reponame_str |
Revista Brasileira de Física Tecnológica Aplicada |
collection |
Revista Brasileira de Física Tecnológica Aplicada |
repository.name.fl_str_mv |
Revista Brasileira de Física Tecnológica Aplicada - Universidade Tecnológica Federal do Paraná (UTFPR) |
repository.mail.fl_str_mv |
||rbfta-pg@utfpr.edu.br |
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1811086514014126080 |