| Full text | |
| Author(s): |
Total Authors: 2
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| Affiliation: | [1] Univ Estadual Campinas, Sch Mech Engn, Lab Rotating Machines, 200 Rua Mendeleyev, BR-13083860 Campinas, SP - Brazil
Total Affiliations: 1
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| Document type: | Journal article |
| Source: | Journal of Sound and Vibration; v. 492, FEB 3 2021. |
| Web of Science Citations: | 0 |
| Abstract | |
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) | |
| FAPESP's process: | 18/21581-5 - Experimental evaluation of a fault model for wear in hydrodynamic bearings. |
| Grantee: | Diogo Stuani Alves |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |
| FAPESP's process: | 15/20363-6 - Fault tolerant identification and control of rotating systems |
| Grantee: | Katia Lucchesi Cavalca Dedini |
| Support Opportunities: | Research Projects - Thematic Grants |