Development of a framework for an automated mechanical testing
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10773/31331 |
Resumo: | Nowadays, predict or characterize material's behaviour are arduous tasks which involve performing repetitive tests using different testing machines and sensors (internal, such as load cells, and externals, such as cameras that measure deformations). When performed manually, they result in inaccurate data, due to the repeatability of the process. However, these handling specimen tasks could be performed automatically using traditional robotic manipulators, and creating systems based on automatic mechanical testing. Consequently, the precision of the testing results increases, as well as the automatism of the processes and the test's throughput. Some commercial products are already available on the market, but these options are offered in complete systems and cannot adapt themselves to existing equipment or retrofit systems. In this work, it is created a communication infrastructure between the equipment to be included in the automatic system designed. The whole process is managing the interface communication between devices and, consequently, composing the automatic material testing routine. This requires implementing several changes in the testing machine selected aiming to increase its degree of automation and, consequently, allow further integration in the fully automatic testing procedure. Additionally, a visual perception system is created using a specimen tray randomly positioned on a setup, which includes a camera and robotic manipulator that is automatically operating the traditional specimen handling of testing. The calibration methods are accomplished using ROS framework and the final system achieved operates in automatic mode, handling specimens from the tray prototype (designed for this work) to a fixed position previously taught to the manipulator, which represents the exact feeding position in machine tests. |
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Development of a framework for an automated mechanical testingSpecimen handlingAutomationMaterial testingLabVIEWRobot controlCalibrationROSChArUcoNowadays, predict or characterize material's behaviour are arduous tasks which involve performing repetitive tests using different testing machines and sensors (internal, such as load cells, and externals, such as cameras that measure deformations). When performed manually, they result in inaccurate data, due to the repeatability of the process. However, these handling specimen tasks could be performed automatically using traditional robotic manipulators, and creating systems based on automatic mechanical testing. Consequently, the precision of the testing results increases, as well as the automatism of the processes and the test's throughput. Some commercial products are already available on the market, but these options are offered in complete systems and cannot adapt themselves to existing equipment or retrofit systems. In this work, it is created a communication infrastructure between the equipment to be included in the automatic system designed. The whole process is managing the interface communication between devices and, consequently, composing the automatic material testing routine. This requires implementing several changes in the testing machine selected aiming to increase its degree of automation and, consequently, allow further integration in the fully automatic testing procedure. Additionally, a visual perception system is created using a specimen tray randomly positioned on a setup, which includes a camera and robotic manipulator that is automatically operating the traditional specimen handling of testing. The calibration methods are accomplished using ROS framework and the final system achieved operates in automatic mode, handling specimens from the tray prototype (designed for this work) to a fixed position previously taught to the manipulator, which represents the exact feeding position in machine tests.Atualmente, prever ou caracterizar o comportamento dos materiais é uma tarefa demasiado laboriosa que envolve a realização de muitos testes repetitivos utilizando diferentes tipos de máquinas de ensaio, sensores internos (células de carga para medir forças) e externos (câmaras que medem deformações). Estes ensaios, quando executados manualmente por um operador, originam erros de imprecisão devido á repetibilidade do processo. No entanto, estas tarefas podem ser adaptadas a recursos automáticos, tirando partido da fiabilidade dos manipuladores robóticos e, aumentando assim, a precisão e quantidade de ensaios realizados no mesmo espaço de tempo. Algumas soluções comerciais já existem no mercado, porém, estas são oferecidas de forma integral que não permitem facilmente a integração de uma nova estacão (equipamento) ou o uso de uma máquina de ensaios standard mais antiga. Neste trabalho é criada uma estrutura de comunicação entre os equipamentos que permite a interface e, consequentemente, a reprodução automática de um sistema para ensaios mecânicos numa máquina tradicional de carregamento uniaxial. Para tal, um conjunto de alterações numa máquina de ensaios é sugerido visando aumentar o seu grau de automação e, consequentemente, contribuindo para a integração num sistema de ensaios totalmente automático. Adicionalmente, é criado um sistema de perceção visual (com as devidas calibrações em ROS) capaz proceder á manipulação de provetes a partir de um tabuleiro (posicionado aleatoriamente no espaço) e cujas manobras são operadas por um manipulador robótico e respetiva câmara instalados. Como resultado, o sistema executa o manuseamento automático de provetes para uma posição fixa que representa o local de abastecimento das máquinas de ensaios.2021-05-10T08:21:01Z2020-12-22T00:00:00Z2020-12-22info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10773/31331engNunes, Diego Saraivainfo: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:RCAAP2024-02-22T12:00:29Zoai:ria.ua.pt:10773/31331Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:03:14.547978Repositório 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 |
Development of a framework for an automated mechanical testing |
title |
Development of a framework for an automated mechanical testing |
spellingShingle |
Development of a framework for an automated mechanical testing Nunes, Diego Saraiva Specimen handling Automation Material testing LabVIEW Robot control Calibration ROS ChArUco |
title_short |
Development of a framework for an automated mechanical testing |
title_full |
Development of a framework for an automated mechanical testing |
title_fullStr |
Development of a framework for an automated mechanical testing |
title_full_unstemmed |
Development of a framework for an automated mechanical testing |
title_sort |
Development of a framework for an automated mechanical testing |
author |
Nunes, Diego Saraiva |
author_facet |
Nunes, Diego Saraiva |
author_role |
author |
dc.contributor.author.fl_str_mv |
Nunes, Diego Saraiva |
dc.subject.por.fl_str_mv |
Specimen handling Automation Material testing LabVIEW Robot control Calibration ROS ChArUco |
topic |
Specimen handling Automation Material testing LabVIEW Robot control Calibration ROS ChArUco |
description |
Nowadays, predict or characterize material's behaviour are arduous tasks which involve performing repetitive tests using different testing machines and sensors (internal, such as load cells, and externals, such as cameras that measure deformations). When performed manually, they result in inaccurate data, due to the repeatability of the process. However, these handling specimen tasks could be performed automatically using traditional robotic manipulators, and creating systems based on automatic mechanical testing. Consequently, the precision of the testing results increases, as well as the automatism of the processes and the test's throughput. Some commercial products are already available on the market, but these options are offered in complete systems and cannot adapt themselves to existing equipment or retrofit systems. In this work, it is created a communication infrastructure between the equipment to be included in the automatic system designed. The whole process is managing the interface communication between devices and, consequently, composing the automatic material testing routine. This requires implementing several changes in the testing machine selected aiming to increase its degree of automation and, consequently, allow further integration in the fully automatic testing procedure. Additionally, a visual perception system is created using a specimen tray randomly positioned on a setup, which includes a camera and robotic manipulator that is automatically operating the traditional specimen handling of testing. The calibration methods are accomplished using ROS framework and the final system achieved operates in automatic mode, handling specimens from the tray prototype (designed for this work) to a fixed position previously taught to the manipulator, which represents the exact feeding position in machine tests. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-12-22T00:00:00Z 2020-12-22 2021-05-10T08:21:01Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10773/31331 |
url |
http://hdl.handle.net/10773/31331 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799137687685300224 |