Eventos Anais de eventos
COBEM 2023
27th International Congress of Mechanical Engineering
Uncertainty Analysis of the Band Gap Formation in Periodic Rotors
Submission Author:
Patrick Bueno Lamas , SP
Co-Authors:
Patrick Bueno Lamas, Rodrigo Nicoletti
Presenter: Patrick Bueno Lamas
doi://10.26678/ABCM.COBEM2023.COB2023-1408
Abstract
Rotating machines are critical components of many industries, including power generation, transportation, and manufacturing. However, the vibration of these machines can lead to various issues, such as increased wear, reduced performance, and even catastrophic failure. To mitigate these problems, engineers need to design and optimize rotors that can operate efficiently and reliably under various operating conditions. One way to improve rotor performance is by taking advantage of band gaps. In rotating machines, structural periodicity can create band gaps (or modal spacing) on the frequency spectrum of the system. These band gaps regions are frequency zones where no resonance appears, with a large distance between two adjacent resonances, and they are characterized by a low vibrating response to excitation of the system. In this paper, we investigate the robustness of band gap formation in the presence of uncertainties by comparing results from a stochastic and a deterministic model. To achieve this, this study applies a probabilistic approach utilizing Monte Carlo theory and the Hoeffding–Sobol decomposition is evaluated both in a numerical investigation of a rotor with longitudinal periodicity. The results show that including uncertainties in modelling provides valuable insights into the robustness of band gap formation in rotating machines. The study sheds light on the potential benefits of probabilistic approaches for improving the predictability, efficiency, and reliability of rotating machines. The findings of this study can provide valuable insights for future research on the optimization and design of rotors with enhanced vibration performance.
Keywords
rotating machinery, wave propagation, modal analysis, uncertainty, band gaps
