Experimental evaluation of a fault model for wear in hydrodynamic bearings

• Grant number: 18/24600-0
• Support Opportunities: Scholarships abroad - Research Internship - Post-doctor
• Start date: May 01, 2019
• End date: January 31, 2020
• Field of knowledge: Engineering - Mechanical Engineering - Mechanics of Solids
• Principal Investigator: Katia Lucchesi Cavalca Dedini
• Grantee: Diogo Stuani Alves
• Supervisor: Patrick Sean Keogh
• Host Institution: Faculdade de Engenharia Mecânica (FEM). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
• Institution abroad: University of Bath, England
• Associated to the scholarship: 18/21581-5 - Experimental evaluation of a fault model for wear in hydrodynamic bearings., BP.PD

Abstract

Besides the understanding of the dynamic behavior of rotating machines, a still growing demand for higher system performance and lower operational costs are pushing researchers to improve models and techniques previously existent, being fault detection and diagnosis crucial for these goals. The fault detection and diagnosis involve the observation of any system output, and for dynamic systems, the most utilized output is vibration. Faults associated with hydrodynamic bearings are one of the most common causes of forced shutdowns in rotating machinery, directly affecting the bearing clearance and resulting in changes of the rotating system characteristics. Therefore, the time response of a rotating machine subjected to worn hydrodynamic bearings will be analyzed in order to define a general vibration behavior that characterizes the presence of bearing wear. The spectral analysis will be used to compare healthy and worn bearings. For the wear, a preexisting model will be utilized to obtain the numerical hydrodynamic forces of the worn bearing. Nevertheless, other wear models may be studied and/or develop in order to improve simulation representativeness. Experimental tests will be performed to validate the numerical observations. It is expected to indicate the presence and severity of wear in hydrodynamic bearings, helping to establish a criterion for model based identification. (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

GAROLI, GABRIEL YUJI; ALVES, DIOGO STUANI; MACHADO, TIAGO HENRIQUE; CAVALCA, KATIA LUCCHESI; DE CASTRO, HELIO FIORI. Fault parameter identification in rotating system: Comparison between deterministic and stochastic approaches. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, v. 20, n. 6, JAN 2021. (18/24600-0, 18/21581-5, 15/20363-6, 16/13223-6)

ALVES, DIOGO STUANI; MACHADO, TIAGO HENRIQUE; DA SILVA TUCKMANTEL, FELIPE WENZEL; KEOGH, PATRICK S.; CAVALCA, KATIA LUCCHESI. Investigation of Fault Modeling in the Identification of Bearing Wear Severity. JOURNAL OF TRIBOLOGY-TRANSACTIONS OF THE ASME, v. 144, n. 7, p. 12-pg., 2022-07-01. (18/21581-5, 15/20363-6, 18/24600-0)

ALVES, DIOGO STUANI; FIEUX, GAUTHIER; MACHADO, TIAGO HENRIQUE; KEOGH, PATRICK S.; CAVALCA, KATIA LUCCHESI. A parametric model to identify hydrodynamic bearing wear at a single rotating speed. TRIBOLOGY INTERNATIONAL, v. 153, JAN 2021. (18/24600-0, 15/20363-6, 18/21581-5)