Investigation into the influence of bearings nonlinear forces in unbalance identification

Autor(es)

Alves, Diogo Stuani ^[1] ; Lucchesi, Katia ^[1]

Afiliação do(s) autor(es)

^[1] Univ Estadual Campinas, Sch Mech Engn, Lab Rotating Machines, 200 Rua Mendeleyev, BR-13083860 Campinas, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: Journal of Sound and Vibration; v. 492, FEB 3 2021.
• Citações Web of Science: 0

Resumo

Rotating machines are key components in several industrial sectors, mainly, in energy generation. In this way, a rotating component supported on hydrodynamic bearings creates typical problems, being high vibrations amplitudes due to unbalance, one of the most common. To avoid failures and ensure a safe operation, the rotor should be balanced, and influence coefficient methods are usually used. Since balancing by the traditional influence coefficients method requires trial masses, the machine can sometimes experience a long setup time, causing financial losses. Also, this method assumes a linear rotor response that can hamper the balancing procedure for nonlinear situations, which happens when the rotor experiences high vibrational motion. Thus, this work proposes a balancing identification that considers nonlinear bearings and avoids trial masses. For this, a mixed-integer gradient-based optimization is presented. The theoretical model of a rotor supported by hydrodynamic bearings is obtained using the Finite Element method and solving the Reynolds equation. In order to save computational time, the bearing forces are approximated by a fifth order Taylor series expansion. The presented results show that nonlinear bearing consideration can improve the machine diagnosis. (C) 2020 Elsevier Ltd. All rights reserved. (AU)

• Processo FAPESP: 18/21581-5 - Avaliação experimental de um modelo de falha por desgaste em mancais hidrodinâmicos
• Beneficiário: Diogo Stuani Alves
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado
• Processo FAPESP: 15/20363-6 - Identificação e controle tolerantes a falhas em sistemas rotativos
• Beneficiário: Katia Lucchesi Cavalca Dedini
• Modalidade de apoio: Auxílio à Pesquisa - Temático