Optimization of Wear Behavior of Ni-Ag Composite Coatings by Taguchi Model
Electroplated nickel composite coatings have good wear resistance. In this study, by adding Ag particles as reinforcement and optimization of electroplating conditions, wear behavior, hardness and roughness of Ni-Ag have been studied. Taguchi design of experiment (DOE) technique was carried out for optimizing four effective parameters (Ag content, current density, time and additives) and three levels. Therefore, nine specimens were prepared and morphology and structure of the samples were analyzed by SEM and X-ray diffraction. To find out the wear resistance of the samples, pin–on–disk test was performed and worn surfaces were analyzed by SEM and EDS. The optimized parameters of electroplating, based on signal to noise ratio (SNR) curves, were 50 mg/L Ag content, 4A/dm2, 2 hours electroplating and Triton X100 as additive in order to achieve the lowest wear. Analysis of variance (ANOVA) calculation showed current density and Ag content are the most effective parameters on wear behavior of coatings, respectively. The process was then modeled in Artificial Neural Network and the counters of parameters together with the outputs were determined. The results showed that wear resistance decreased with increasing both Ag content and current density.
Article Type:
Research/Original Article
Iranian Journal of Surface Science and Engineering, No. 39, 2019
11 - 30
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