Despite the fact that disk brakes are used on almost entire mass produced vehicle, drum brakes are still applied on light-, medium-, and heavy-duty vehicles. However, both exhibit a high level of brake noises in which squeal is the most uncomfortable and one of the reasons behind high warranty costs that concern the automotive industry. Hence, the development of prediction methods and models of brake noise have prompted significant efforts. This study intends to analyze two types of drum brakes of a commercial automotive application. Their parametric finite element model comprises drum, shoes, and frictional linings and are submitted to a computational process that includes static calculations of the system under the brake forces to get a pre-stress state around which is computed the complex eigenvalues of the system which characterize their stability. These calculations indicate the unstable frequencies of the entire system. After the design of experiments (DOE) process, the influence of drum brake parameters on system stability can be seen. The friction coefficient and Young’s modulus presented a strong correlation with squeal incidence. At the end is presented a comparison and the optimal material parameters to decrease squeal noise occurrence of these brakes.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.