Automotive Drum Brake Squeal Analysis Using Complex Eigenvalue Methods
Journal Title: International Journal of Modern Engineering Research (IJMER) - Year 2012, Vol 2, Issue 1
Abstract
Vehicle brakes can generate different kinds of noises. Eliminating brake noise is a very big challenging issue in the automotive industry. Brakes generally develop large and sustained friction-induced oscillations, referred to brake squeal. This brake squeal is considered a serious operational braking problem in passenger cars and commercial vehicles. This paper involves an approach to discover the main causes of drum squeal occurrence using finite element methods (FEM). A modal analysis of a prestressed structure will be performed to predict the onset of drum brake instability. The brake system model is based on the model information extracted from finite element models for individual brake components. An unsymmetric stiffness matrix (MATRIX27) is a result of a friction coupling between the brake lining and drum which may lead to complex eigenfrequencies. This finite element method (FEM) using ANSYS was used to predict the mode shape and natural frequency of the brake system after appropriate verification of FEM. The results showed that changing the contact stiffness of the drum-lining interface play an important role in the occurrence of the squeal. Moreover, decreasing the lining coefficient of friction lead to decreasing the occurrence of the squeal. It showed also that both the frequency separation between two systems modes due to static coupling and their associated mode shapes play an important role in mode merging. It was noted that squeals are most likely to occur when the eigenvectors and eigenvalues of the brake drum and shoes are close to the coupled vibration frequency to confirm that the coupling between different modes was necessary to form instabilities. The results confirmed that the eigenvectors of the leading and trailing brake shoes are independent from each other with the same natural frequency.
Authors and Affiliations
Ibrahim Ahmed , Essam Allam , Mohamed Khalil, Shawki Abouel-seoud
Keywords
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