Eventos Anais de eventos
COBEM 2017
24th ABCM International Congress of Mechanical Engineering
Experimental Validation of Robust Model Based Balancing Approach
Submission Author:
Vinícius Carvalho , MG , Brazil
Co-Authors:
Vinícius Carvalho, Arinan Dourado, Aldemir Ap Cavalini Jr, Valder Steffen Jr
Presenter: Vinícius Carvalho
doi://10.26678/ABCM.COBEM2017.COB17-2087
Abstract
The unbalance is the most common problem found in rotating machines. Different approaches have been proposed to solve unbalance problems, such as the so-called signal based balancing techniques. This paper presents an alternative balancing methodology for rotating machines, aiming at overcoming the limitation faced by the most frequently used methods. This alternative technique identifies first the model of the machine, and then the unbalance is determined by solving a typical inverse problem by taking into account the inherent uncertainties that affect the balancing performance. The robust balancing methodology is based on a mono-objective optimization procedure, in which the uncertainties are treated as random variables. The additional unbalance distribution along the rotor was considered as the uncertain parameter, which was modeled as Gaussian field and represented by Monte Carlo simulations. The experimental investigation was applied to a rotor system composed by a horizontal flexible shaft, three rigid discs, and two ball bearings. The results indicate the effectiveness of the proposed technique.
Keywords
Rotating machine, Balancing techniques, robustness, Monte-Carlo simulation
