Tribology and Materials | Volume 2 | Issue 2 | 2023 | 78-87
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https://doi.org/10.46793/tribomat.2023.009
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Comparison of the theoretical and experimental coefficient of friction for the brake disc-brake pad system
Mrunal P. Kshirsagar
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Hrishikesh P. Khairnar
Mechanical Engineering Department, Veermata Jijabai Technological Institute, Mumbai, India
Abstract: Contact between the automotive brake pad and the disc
is mathematically modelled to estimate the coefficient of friction
(COF). The mathematical model is proposed for the prognosis of the COF
of brake pad material, by considering the contact mechanics between the
interfacing surface and their material properties. The
Greenwood-Williamson contact model is applied for rough contact surfaces
for the estimation of the real contact radius. A MATLAB program has been
formulated for generating the surface of brake pad material by
considering its material properties which aid in the analytical
evaluation of the COF. The proposed model is further validated with
experimentation on pin-on-disc apparatus, as it is considered suitable
for friction pad product testing according to previous research. The 25
pins were fabricated as per the ASTM G99 test for testing under varying
loads and speeds. The obtained results showed that the range of COF has
been between 0.2 and 0.4. The investigation presents an analytical
approach for estimating COF and contact radius for brake disc and brake
pad, which can be used to design an efficient automotive brake
disc-brake pad system under the given load and rotational speed. The
artificial neural network (ANN) is modelled for predicting the values of
the COF for brake disc-brake pad systems, which can be further used for
determining the tribological properties of new friction materials and
their compatibility for efficient brake systems.
Keywords:
brake pad, contact mechanics, friction, pin-on-disc, material
properties, machine learning.
Received: 02-05-2023, Revised: 26-05-2023, Accepted: 30-05-2023
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license, which allows users to distribute, remix, adapt,
and build upon the material in any medium or format for non-commercial purposes only, and only so long as attribution is given to the creator.
Abstract: Contact between the automotive brake pad and the disc is mathematically modelled to estimate the coefficient of friction (COF). The mathematical model is proposed for the prognosis of the COF of brake pad material, by considering the contact mechanics between the interfacing surface and their material properties. The Greenwood-Williamson contact model is applied for rough contact surfaces for the estimation of the real contact radius. A MATLAB program has been formulated for generating the surface of brake pad material by considering its material properties which aid in the analytical evaluation of the COF. The proposed model is further validated with experimentation on pin-on-disc apparatus, as it is considered suitable for friction pad product testing according to previous research. The 25 pins were fabricated as per the ASTM G99 test for testing under varying loads and speeds. The obtained results showed that the range of COF has been between 0.2 and 0.4. The investigation presents an analytical approach for estimating COF and contact radius for brake disc and brake pad, which can be used to design an efficient automotive brake disc-brake pad system under the given load and rotational speed. The artificial neural network (ANN) is modelled for predicting the values of the COF for brake disc-brake pad systems, which can be further used for determining the tribological properties of new friction materials and their compatibility for efficient brake systems.
Keywords: brake pad, contact mechanics, friction, pin-on-disc, material properties, machine learning.
Received: 02-05-2023, Revised: 26-05-2023, Accepted: 30-05-2023
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license, which allows users to distribute, remix, adapt, and build upon the material in any medium or format for non-commercial purposes only, and only so long as attribution is given to the creator.