Tribological performance evaluation of slag waste filled phenolic composites for automotive braking applications

Slag waste?filled phenolic resin?based automotive brake friction composites were formulated, fabricated, followed by mechanical, physical characterization, and tribo?evaluation. According to economic commission for Europe regulation, the tribological performance of the composites was evaluated on a Krauss friction?testing machine. The increase in slag waste content led to increased physical properties such as density, porosity, ash contents, and compressibility, whereas hardness, acetone extraction, and shear strength increased with increased phenolic resin content. The fade and friction performance has been observed to be highly dependent on the slag waste content, that is, both followed a consistent decrease with the increase in the phenolic resin content, whereas the frictional fluctuations have been observed to decrease with the increase in slag waste content. In particular, the composites containing 65?wt% slag waste and 5?wt% phenolic resin showed the highest friction coefficient (0.406), lowest fade (20.44%) and frictional fluctuation (0.209), but the wear (10.80?g) and disc temperature rise (618°C) remains highest. Composite with the lowest slag waste content of 50?wt% combined with the highest phenolic resin of 20?wt% showed higher recovery performance (120.63%), lowest wear (4.45?g) and disc temperature rise (536°C), but exhibits lowest friction coefficient (0.315) and friction stability (0.79) along with highest friction variability (0.60) and fluctuations (0.238). Friction and wear data analysis revealed the predominance of the fade factor for friction performance while the fade factor and disc temperature?induced results significantly influence the wear performance. The worn surface micrograph showed higher phenolic resin?filled composites form smooth contact plateaus that successfully reduced wear.

» Publication Date: 29/06/2022

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This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement Nº 768737


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