Optimization of braking parameters using Taguchi method and experimental validation

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.

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Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
Published
2026-02-16
DOI
https://doi.org/10.1177/09544070261418335
Primary Topic
Brake Systems and Friction Analysis
Type
article
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article

Optimization of braking parameters using Taguchi method and experimental validation

Oday I. Abdullah, Ivan Grujić, Ali Belhocine, Nadica Stojanovic et al.
Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
Brake Systems and Friction Analysis
article

Optimization of braking parameters using Taguchi method and experimental validation

Oday I. Abdullah, Ivan Grujić, Ali Belhocine, Nadica Stojanovic, Bojana Boskovic
article en

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.

Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering
Serbian Academy of Sciences and Arts (RS), University of Baghdad (IQ), University of Kragujevac (RS), Al-Farabi Kazakh National University (KZ), Iraqi University (IQ), Université Mustapha Stambouli de Mascara (DZ)
Affordable and clean energy
Openalex Percentile: Top 55%
Brake Systems and Friction Analysis
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Optimization of braking parameters using Taguchi method and experimental validation — Oday I. Abdullah, Ivan Grujić, et al. · Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering (2026) | TGRS Research Map | TGRS