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Vibrations in CDFW.
Soares de Alcantara, Daniel; Balestrassi, Pedro Paulo; Freitas Gomes, José Henrique; Carvalho Castro, Carlos Alberto.
Afiliação
  • Soares de Alcantara D; Institute of industrial Engineering, Federal University of Itajubá (UNIFEI), Itajubá 37500-903, Brazil.
  • Balestrassi PP; Institute of industrial Engineering, Federal University of Itajubá (UNIFEI), Itajubá 37500-903, Brazil.
  • Freitas Gomes JH; Institute of industrial Engineering, Federal University of Itajubá (UNIFEI), Itajubá 37500-903, Brazil.
  • Carvalho Castro CA; Federal Center of Technological Education of Minas Gerais (CEFET-MG), Varginha 37022-560, Brazil.
Entropy (Basel) ; 22(6)2020 Jun 24.
Article em En | MEDLINE | ID: mdl-33286474
Continuous drive friction welding is a solid-state welding process that has been experimentally proven to be a fast and reliable method. This is a complex process; deformations in the viscosity of a material alter the friction between the surfaces of the pieces. All these dynamics cause changes in the vibration signals; the interpretation of these signals can reveal important information. The vibration signals generated during the friction and forging stages are measured on the stationary part of the structure to determine the influence of the manipulated variables on the time domain statistical characteristics (root mean square, peak value, crest factor, and kurtosis). In the frequency domain, empirical mode decomposition is used to characterize frequencies. It was observed that it is possible to identify the effects of the manipulated variables on the calculated statistical characteristics. The results also indicate that the effect of manipulated variables is stronger on low-frequency signals.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Entropy (Basel) Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Brasil País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Entropy (Basel) Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Brasil País de publicação: Suíça