PREDICTION OF WEAR AND FRICTION COEFFICIENT OF BRAKE PADS DEVELOPED FROM PALM KERNEL FIBRES USING ARTIFICIAL NEURAL NETWORK

Ikpambese Kumaden Kuncy,Ashwe Abugh,Tuleun Livinus Tyovenda

doi:10.29081/jesr.v20i3.63

Abstract

Artificial neural network prediction of wear rate and friction coefficient of brake pads developed from palm kernel fibres (PKF) was carried out in this study. Major input parameters including materials formulation, manufacturing conditions, and operating conditions were introduced into the neural model while wear rate and friction coefficient were the outputs. The network architecture of LM12 [4-3]<sub>2</sub> 2<strong> </strong>was selected for predicting the wear rate and coefficient of friction. The predicted wear rate and friction coefficient using ANN models were compared with the measured values using some statistical indicators. Results showed that the ANN predicted accurately the wear rate and friction coefficient of the developed automotive brake pads.

Highlights

Investigation and modeling of tribo-system are key points for solving the friction and wear behavior of automotive brakes
Development of the brake pad Palm kernel fibers (PKF) were collected and suspended in a solution of caustic soda for twenty-four hours to remove the remnant of red oil left after extraction
They were washed with water to remove the caustic soda and sun-dried for one week

Summary

Introduction

Investigation and modeling of tribo-system (disc, brake pads) are key points for solving the friction and wear behavior of automotive brakes. Development of disc brake system is always a big challenge for car manufacturers and suppliers [1]. The phenomenon of material transfer during sliding is important from both scientific and practical considerations. Wear performance are influenced by how wear particles act inside the control as a third body and how they are ejected from the contact [2]. Friction and wear performance is two kinds of responses from one tribo-system. Wear in general relies on many factors such as temperature, applied load, sliding velocity, properties of mating materials, and durability of the transfer layer. The transfer film affects the friction and wear behavior of friction pairs [3]

Methods

Results

Conclusion