Load cells calibration with a low cost data acquisition system

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...

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Principais autores: Machado, Pedro Leineker Ochoski, Fachini, Luis Vitorio Gulineli, Machado, Vitor Otávio Ochoski, Szmoski, Romeu Miqueias, Alves, Thiago Antonini
Formato: Artigo
Idioma: Português
Publicado em: Universidade Tecnológica Federal do Paraná (UTFPR) 2019
Acesso em linha: http://periodicos.utfpr.edu.br/rbfta/article/view/10125
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spelling peri-article-101252019-12-02T13:21:39Z Load cells calibration with a low cost data acquisition system Machado, Pedro Leineker Ochoski Fachini, Luis Vitorio Gulineli Machado, Vitor Otávio Ochoski Szmoski, Romeu Miqueias Alves, Thiago Antonini 3.04.00.00-7 Load 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) 2019-04-24 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf http://periodicos.utfpr.edu.br/rbfta/article/view/10125 10.3895/rbfta.v6n1.10125 Revista Brasileira de Física Tecnológica Aplicada; v. 6, n. 1 (2019) 2358-0089 10.3895/rbfta.v6n1 por http://periodicos.utfpr.edu.br/rbfta/article/view/10125/6315 Direitos autorais 2019 CC-BY http://creativecommons.org/licenses/by/4.0
institution Universidade Tecnológica Federal do Paraná
collection PERI
language Português
format Artigo
author Machado, Pedro Leineker Ochoski
Fachini, Luis Vitorio Gulineli
Machado, Vitor Otávio Ochoski
Szmoski, Romeu Miqueias
Alves, Thiago Antonini
spellingShingle Machado, Pedro Leineker Ochoski
Fachini, Luis Vitorio Gulineli
Machado, Vitor Otávio Ochoski
Szmoski, Romeu Miqueias
Alves, Thiago Antonini
Load cells calibration with a low cost data acquisition system
author_sort Machado, Pedro Leineker Ochoski
title Load cells calibration with a low cost data acquisition system
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
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.
publisher Universidade Tecnológica Federal do Paraná (UTFPR)
publishDate 2019
url http://periodicos.utfpr.edu.br/rbfta/article/view/10125
_version_ 1805449301671804928
score 10,814766