Abstract
This paper is devoted to discussion of the efficiency of reduced models based on a Double Modal Synthesis method that combines a classical modal reduction and a condensation at the frictional interfaces by computing a reduced complex mode basis, for the prediction of squeal noise of mechanical systems subjected to friction-induced vibration. More specifically, the use of the multiresolution signal decomposition of acoustic radiation and wavelet representation will be proposed to analyze details of a pattern on different observation scales ranging from the pixel to the size of the complete acoustic pattern. Based on this approach and the definition of specific resulting criteria, it is possible to quantify the differences in the representation of the acoustic fields for different reduced models and thus to perform convergence studies for different scales of representation in order to evaluate the potential of reduced models. The effectiveness of the proposed approach is tested on the finite element model of a simplified brake system that is composed of a disc and two pads. The contact is modeled by introducing contact elements at the two friction interfaces with the classical Coulomb law and a constant friction coefficient. It is demonstrated that the new proposed criteria, based on multiresolution signal decomposition, allow us to provide satisfactory results for the choice of an efficient reduced model for predicting acoustic radiation due to squeal noise.
Highlights
The prediction of the acoustic response associated with squeal noise is often overlooked because it requires one to solve first the nonlinear dynamic problem
One of the objectives of this study is to answer this question by proposing a complete approach, allowing for the development of numerical techniques based on the Double Modal Synthesis method for the prediction of squeal noise and the the use of the multiresolution signal decomposition of acoustic radiation and wavelet representation in order to analyze in detail the relevance of the reduction bases
Lp,bem = 10 log10
Summary
The prediction of the acoustic response associated with squeal noise is often overlooked because it requires one to solve first the nonlinear dynamic problem. This problem is of increasing interest to researchers by carrying out numerical simulations and experimental studies [1,2,3,4,5,6,7,8] because noise pollution due to friction-induced vibrations has become a major problem in the automotive industry. Even if the prediction of squeal noise is essential and of primary interest for designing brake systems, the estimation of the acoustic noise, based on numerical tools for nonlinear models with many degrees of freedom, can be rather expensive and requires considerable resources both in terms. In the case of mechanical systems subjected to friction-induced vibration, the performance of model reduction techniques [16,17,18,19]
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