The course introduces students to the fundamental principles of rotordynamics, emphasizing analytical models (Jeffcott rotor), critical physical phenomena leading to instability and failure, and practical approaches for rotor identification and balancing. The course combines theoretical analysis with practical insights to enhance diagnostic and predictive capabilities in high-performance rotating systems. Attending the course does not require any prerequisites apart from a basic knowledge of programming. The course will be held through: • In-person lectures for advanced theoretical content and direct interaction. • Pre-recorded online modules on the most important topics of the course. • Hands-on sessions on practical cases. The final evaluation will be based on the following components: 1. Active participation during the course (at least 60% of the course). Attending the lectures of the course and taking part in laboratories is mandatory to get the credits. 2. Short report or oral presentation. The report and the oral presentation are not mandatory and can be carried out by groups of students (up to 5 students). It is worth pointing out that these two activities will be evaluated to pass the examination with merit.

Nessuno

1. Introduction to Rotating Machinery and Failure Modes • Overview of rotating systems • Common failure mechanisms: unbalance, misalignment, cracks, rubs • Phenomena leading to instability: oil whip, critical speed crossings 2. Jeffcott Rotor Models • Jeffcott rotor • Campbell diagrams • Stability conditions • Internal damping and self-excited vibrations 3. Rotor Identification and Balancing Techniques • Experimental modal identification (impact test, frequency response) • Field balancing: single-plane and multi-plane methods • Influence coefficients and influence matrix methods • Vibration analysis 4. Nonlinear phenomena in rotordynamics • Introduction to nonlinear ODEs • Typical nonlinearities in rotordynamics • Linearization 5. Final discussion and applications • Industrial case studies (compressors, turbines, spindles) • Fault detection and predictive maintenance • Trends in rotordynamics (active control, AI diagnostics)

Modalitΰ mista

Presentazione orale

P.D.2-2 - Marzo