Based-predicting of tribological properties in brass and bronze under variable loads

This study investigated the tribological behavior of copper-based alloys, specifically Admiralty Brass, under varying loads during a continuous 30-minute sliding test. Results showed a direct correlation between applied load and contact temperature, which reaching about 42 °C under a 1500 g load and staying below 32 °C at 250 g. This temperature rise is due to increased surface pressure and frictional heat. Although Admiralty Brass has good mechanical properties, it exhibited higher sensitivity to temperature compared to other alloys like copper-brass. An Adaptive Neuro-Fuzzy Inference System (ANFIS) model was developed to predict the coefficient of friction based on parameters such as load, sliding time, and specimen type. The model showed high accuracy with a 0.67% error. For Bronze alloy, the prediction error was 4.60%, while for Admiralty Brass, it a 2.52%. The friction force prediction error was as low as 0.02%, confirming the model’s reliability for performance forecasting and material selection.