| Abstrakt: |
A lead-free Ni–B–W (ENB-W) coating deposited by electroless method was investigated in present work. Heat-treated ENB-W coating (450 °C for 3 h) were exposed to tribological tests within a range of parameters, including load (10–50 N), speed (0.5–1.5 m/s), and distance (400–1000 m). Prior to tests, coated specimens before and after heat-treated condition were characterized. The typical globular morphology and crystalline nature was seen. The hardness, scratch hardness and first critical load of failure improved in heat treated condition. To optimize wear rate and coefficient of friction (COF), an approach has been introduced, i.e., integration of an artificial neural network (ANN) with a genetic algorithm (GA). The ANN model yielded a mean absolute percentage error of 8.4421% for predicting wear rate and 2.4138% for predicting COF. Pareto front analysis identified the optimal operating conditions as load of 34.2099 N, speed of 0.5006 m/s, and distance of 726.7243 m, resulting in both a minimum wear rate of 0.1003 × 10−8 g N−1 m−1 and a COF of 0.2099. In addition to optimization, the study also involved the characterization of the wear mechanisms of the coatings to gain a deeper understanding of their tribological behaviour. Different wear mechanisms were seen at different range of the parameters. The wear rate and COF did not vary significantly with sliding distance except at 10 N load. In fact, the wear rate was lower at 30 N and 50 N compared to 10 N. [ABSTRACT FROM AUTHOR] |
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