Paper Title:
CAD of Friction Material for Automobile Brake Using Artificial Neural Networks
  Abstract

The brake friction materials in an automotive brake system are considered as one of the key components for overall braking performance of a vehicle. Temperature sensitivity of friction materials has always been a critical aspect while ensuring their smooth and reliable functioning, and that sensitivity need to be constantly optimized. The performance of friction materials at elevated temperatures is defined by their fading performance.In this paper,a group of non-asbestos organic based friction materials containing different relative amounts of the ingredients of aluminosilicate fiber, steel fiber, phenolic resin and Cu powder mostly effecting on the tribological properties of designed brake material were manufactured by compression molding. Dry sliding friction characteristics of composites were tested on a model JF150D-II pad-on-disk type friction tester. A model of feed-forward artificial neural networks (ANN) consisting of four input neurons, six output neurons and one hidden layer, was used for the analysis and prediction of the correlation between material components and friction performance. The input parameters of ANN were the contents of four main components as aluminosilicate fiber, steel fiber, phenolic resin and Cu powder. The outputs were the friction coefficients of brake material against cast iron at six different operating tempetures from 100°C to 350°C. Based on ANN model trained successfully by 25 pieces samples, genetic algorithm(GA) was used to optimize the input parameters of compositions of brake material with the goal of minimizing fluctuation of friction coefficients at 100°C to 350°C. The optimum composition of brake material was obtained. The friction experiments of optimized material showed excellent stability of friction coefficients for automotive brake material as test temperatures increased from 100°C to 350°C. The neural network has impressive potential for solving time-consuming problems for the design of automobile brake material.

  Info
Periodical
Chapter
Chapter 7: Computer Application in Design and Manufacturing (1)
Edited by
Dongye Sun, Wen-Pei Sung and Ran Chen
Pages
3832-3836
DOI
10.4028/www.scientific.net/AMM.121-126.3832
Citation
Y. X. Lin, C. H. Gao, Z. H. Chen, "CAD of Friction Material for Automobile Brake Using Artificial Neural Networks", Applied Mechanics and Materials, Vols. 121-126, pp. 3832-3836, 2012
Online since
October 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Joao V.W. Silveira, Edison Bittencourt, Zaida J. Águila
Chapter 4: Composite and Hybrid Materials
Abstract:Brake pads are composite materials which have been constantly improved by new materials that increase the quality and reduce the...
390
Authors: Che Mohd Ruzaidi Ghazali, H. Kamarudin, Shamsul Baharin Jamaludin, M. M. A. Abdullah
Chapter 2: Material Science and Technology
Abstract:The attractive performance-to-cost ratio associated with the incorporation of waste material in composite formulations used to produce brake...
1636
Authors: Zhi Jie Wang, San Ming Liu, Lin Lin Luan, Hua Qiao Xiao
Chapter 2: Optical, Electronic Materials and Industrial Application
Abstract:The value of brake friction coefficient have to do with temperature rises、speed、press and the influence of temperature rise is most...
1045
Authors: Cheng Mei Yang
Chapter 10: Theory and Application of Friction and Wear
Abstract:In this paper, taking Chinese Nanjing Metro ALSTOM vehicle synthesis brake as an example, the subway with synthetic brake shoe for...
1952
Authors: Ke Gang Zhao, Yong Liang Hu
Chapter 10: Virtual Design, Modeling, Simulation and Optimization
Abstract:In order to make the front and rear axle braking force close to the ideal braking force distribution curves, this paper presents a new idea...
662