dc.contributorShiki, Sidney Bruce
dc.contributorhttp://lattes.cnpq.br/0573973677787523
dc.contributorBarbosa, Gustavo Franco
dc.contributorhttp://lattes.cnpq.br/4027686840017498
dc.contributorhttps://lattes.cnpq.br/8545275183074573
dc.creatorSavazzi, José Otávio
dc.date.accessioned2023-04-11T13:34:52Z
dc.date.accessioned2023-09-04T20:26:39Z
dc.date.available2023-04-11T13:34:52Z
dc.date.available2023-09-04T20:26:39Z
dc.date.created2023-04-11T13:34:52Z
dc.date.issued2023-02-23
dc.identifierSAVAZZI, José Otávio. Método de avaliação da vida útil de ferramenta de corte em fresagem realizada por robô em material composto a partir da medição de vibrações mecânicas. 2023. Dissertação (Mestrado em Engenharia Mecânica) – Universidade Federal de São Carlos, São Carlos, 2023. Disponível em: https://repositorio.ufscar.br/handle/ufscar/17676.
dc.identifierhttps://repositorio.ufscar.br/handle/ufscar/17676
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8630307
dc.description.abstractThe development of materials and methods used in the aircraft manufacturing industry has been advancing to provide a reliable and mainly lighter aircraft. The use of composite materials becomes essential, however, the processing of this type of material must be studied to obtain the highest manufacturing efficiency and the best product quality. Presently, process control and monitoring tools are integrated into Industry 4.0 concepts such as the internet of things, cloud computing, digital twins and others. In this sense, this study aims to evaluate the capability of a system assembled with low-cost instrumentation to monitor and report on the state of the tools used in the machining of composite materials with robotic manipulators. This task is carried out based on the analysis of the mechanical vibrations of the motor and cutting tool assembly, thus aiming to reduce waste and guarantee the quality and surface integrity of the finished parts. Process self-awareness is enhanced by combining signal processing algorithms and statistical techniques to aid in constant monitoring of tool wear. In this sense, a digital model is constantly updated to optimize the cutting process.
dc.languagepor
dc.publisherUniversidade Federal de São Carlos
dc.publisherUFSCar
dc.publisherPrograma de Pós-Graduação em Engenharia Mecânica - PPGEMec
dc.publisherCâmpus São Carlos
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/3.0/br/
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 Brazil
dc.subjectUsinagem com robô
dc.subjectDesgaste de ferramenta
dc.subjectVibrações
dc.subjectMaterial composto
dc.subjectRugosidade
dc.subjectRobot machining
dc.subjectTool wear
dc.subjectVibrations
dc.subjectComposite material
dc.subjectRoughness
dc.titleMétodo de avaliação da vida útil de ferramenta de corte em fresagem realizada por robô em material composto a partir da medição de vibrações mecânicas
dc.typeDissertação


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