A novel approach for evaluation of load bearing capacity of duplex coatings on aluminum alloy using PLS and SVR models
(1. Department of Materials Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran;
2. Department of Mathematical Sciences, Isfahan University of Technology, Isfahan 84156-83111, Iran)
2. Department of Mathematical Sciences, Isfahan University of Technology, Isfahan 84156-83111, Iran)
Abstract: Duplex NiP/TiN coatings consisting of the electroless intermediate layers and the physical vapor deposition (PVD) top layers were fabricated on the AA6061 aluminum alloy in order to enhance the load bearing capacity. The main objective of this study was to model the load bearing based on the thickness, adhesion and elastic modulus of the coatings. For this purpose, partial least square (PLS) and support vector regression (SVR) approaches were employed. The results showed that both models had an acceptable performance; however, the PLS model outperformed SVR. The correlation coefficients between thickness, adhesion and elastic modulus with load bearing were 0.841, 0.8092 and 0.7657, respectively; so, thickness had the greatest effect on the load bearing capacity. The composition and structure of the samples were evaluated using XRD and SEM. The load capacity of the coated samples was also discussed based on the wear and adhesion evaluations. Dry sliding wear tests, under a load of 2 N and a sliding distance of 100 m, demonstrated the complete destruction of the coated specimens with low load capacity. The samples with high load capacity showed not only a superior tribological performance, but also a remarkable adhesion according to the Rockwell superficial hardness test.
Key words: load bearing; aluminum alloys; NiP interlayer; TiN coating; partial least square, support vector regression