Wear Resistance Optimization of Copper, Lead, Tin Alloys

Abstract

In the present study different copper-lead-tin alloys were prepared by casting. A wear test device was designed and manufactured to study the wear resistance of these alloys under different values of contact forces and sliding velocities. The data obtained from the wear test is modeled by the Adaptive Nearo Fuzzy Inference System (ANFIS) to predict an alloy of the highest wear resistance. Comparison between predicted an experimental wear results show good agreement. There are more than one combination of the considered copper alloy that show optimum resistance to wear, namely an alloy composed of (Cu = 75 %, Pb = 5 %, Sn = 20 %), and that composed of (Cu = 85 %, Pb = 5 %, Sn = 10 %).It was also found that the increase of lead decreases the wear resistance, while percentage of tin above 7 % increases the wear resistance of these copper base alloys. This is attributed to the change in the micro-structure of the tested alloys.

Wear Resistance Optimization of Copper, Lead, Tin Alloys

“…A wear testing device was constructed and used. The data obtained from these tests were modeled using ANFIS to predict the copper-lead-tin percentages give the optimal wear resistance [8].…”