Optimization of braking parameters using Taguchi method and experimental validation

View at publisher
Authors: Nadica Stojanovic, Oday Ibraheem Abdullah, Ali Belhocine, Bojana Boskovic, Ivan Grujić
Cited by: 1
References: 27

Abstract

The optimization of braking working parameters was conducted by analyzing the influential factors: vehicle speed (80, 100, and 120 km/h), a quarter of the vehicle mass (200, 250, and 300 kg), and brake pressure (3, 4, and 5 MPa). The goal was to achieve the lowest temperature on the braking pad contact surface and reduce braking time. Experimental work was conducted on the test rig BRAKE DYNO 2020. By applying ANOVA analysis, it was found that vehicle speed accounts for 72% of the influence on brake pad temperature, followed by vehicle mass and braking pressure accounting for 20% and 8%, respectively. On the other hand, for the mean value of simulated vehicle braking time, the brake pressure had the biggest influence (66.78%), followed by vehicle speed (21.75%), and a quarter of the vehicle mass (10.90%). Both the Taguchi method and the regression model showed a good correlation with the experimental results.

Fields of Study & Subjects

Brake Systems and Friction Analysis Vehicle Dynamics and Control Systems Mechanical stress and fatigue analysis

Publication details

Journal / source
Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
Publisher
SAGE Publications
Publication date
16 February 2026
Language
EN