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
Related Articles
- EP ID EP105227
- DOI -
- Views 93
- Downloads 0
A novel approach for performance parameter estimation of face recognition based on clustering, shape and corner detection
The aim of this research is to solve face recognition problem in area of biometric by using CSC hybrid method. In our work first we make the cluster of face key points and parallely apply shape and corner method fo...
A Survey on Different Clustering Algorithms in Data Mining Technique
ABSTRACT: Fast retrieval of the relevant information from databases has always been a significant issue. There are many techniques are developed for this purpose; In among data clustering is one of the major techn...
Harmonics Systems for Time Mining
Information management is currently one of the topics with most impact. Processes are studied in this paper in their temporality, mainly to be able to make predictions. Interesting information arises when what is being e...
GREEN BUILDINGS – ON THE MOVE
Green building education requires successful teamwork of students from different disciplines in order to solve challenging problems in construction and design of buildings. “sustainable building” is the design...
Effects of applied voltage and flow rates of ozone generator fed by dry air and O2 on the coaxial wire-cylinder reactor by varying various electrodes parameters
Production of ozone is one of the most typical industrial and commercial applications. The ozone generator was designed according to the coaxial wire-cylinder reactor with pure oxygen gas and atmospheric air as feed gase...