Evaluation of the tribological behavior of a brake disc-pad friction pair using a fuzzy inference model based on an adaptive network (ANFIS) | Technium: Romanian Journal of Applied Sciences and Technology

Technium Romanian Journal of Applied Sciences and Technology (ISSN: 2668-778X) is an international peer-reviewed journal that publishes original and high-quality research papers related to Engineering, Technology, Mathematics and Computer Application.

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Published: Oct 9, 2023

DOI: https://doi.org/10.47577/technium.v14i.9695

Keywords:

tribology, friction coefficient, adaptive neuro- fuzzy system, model

George Ipate

Department of Biotechnical Systems Politehnica University of Bucharest, Bucharest, Romania

Andreea Catalina Cristescu

Department of Biotechnical Systems Politehnica University of Bucharest, Bucharest, Romania

Constantin Daniel Cotici

Department of Biotechnical Systems Politehnica University of Bucharest, Bucharest, Romania

Nelus Evelin Gheorghita

Department of Biotechnical Systems Politehnica University of Bucharest, Bucharest, Romania

Andrei Florin Hristache

Department of Biotechnical Systems Politehnica University of Bucharest, Bucharest, Romania

Daiana Alina Ionescu

Department of Biotechnical Systems Politehnica University of Bucharest, Bucharest, Romania

Abstract

The purpose of this research is to forecast the tribological behavior of the materials used in the field of braking systems using an Artificial Neural Network (ANN) based on the experimental data obtained by measuring the friction between the friction linings and the brake disc of a bicycle in the translational movement. The data analysis results from this research show that the estimates and forecasts with the proposed model (ANFIS) of the dynamic friction coefficient (COF) between the pads and the disc in translational motion using the ANN have been confirmed to be powerful and useful. The experimentally determined average value of the dynamic COF was 0.2003 with a standard deviation of 0.0233 in the range of values of 0.1244-0.3013.

How to Cite

Ipate, G., Cristescu, A. C., Cotici, C. D., Gheorghita, N. E., Hristache, A. F., & Ionescu, D. A. (2023). Evaluation of the tribological behavior of a brake disc-pad friction pair using a fuzzy inference model based on an adaptive network (ANFIS). Technium: Romanian Journal of Applied Sciences and Technology, 14, 142–146. https://doi.org/10.47577/technium.v14i.9695

Issue

Vol. 14 (2023): Special Issue of the 11-th International Conference on Thermal Equipment, Renewable Energy and Rural Development (TE-RE-RD 2023)

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Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

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