Abstract
The influence of brake pad curing conditions on brake emissions was studied to determine the optimum manufacturing conditions for minimum brake emissions with appropriate friction effectiveness. The Box-Behnken method and an artificial neural network were applied to determine an optimal curing condition by training with limited friction test results. The results showed that the curing condition considerably changed the friction level, pad wear, and brake emissions. The amount of pad wear was proportional to the mass concentration of the airborne particles, whereas no correlation was found with the number concentration due to the incoherent size distribution of ultrafine particles less than 0.1 μm. The pad hardness, which was changed by the degree of crosslinking of the binder resin, correlated well with the pad wear and brake emission. The artificial neural network applied to find the optimum curing condition for minimum brake emissions produced reliable results while satisfying the friction effectiveness for brake performance.
| Original language | English |
|---|---|
| Article number | 204606 |
| Journal | Wear |
| Volume | 516-517 |
| DOIs | |
| Publication status | Published - 2023 Mar 15 |
Bibliographical note
Publisher Copyright:© 2022 Elsevier B.V.
Keywords
- Artificial neural network
- Brake emission
- Friction materials
- Phenolic resin
ASJC Scopus subject areas
- Condensed Matter Physics
- Mechanics of Materials
- Surfaces and Interfaces
- Surfaces, Coatings and Films
- Materials Chemistry