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- Title
Prediction of the Mechanical Properties of Nano-Structured Cr-WC Coatings During Electrodeposition Process Using Artificial Neural Network.
- Authors
Rajabi, Javad; Nadali, Saeid; Alibeiki, Esmaeil; Rajabi, Jamal; Rajabi, Maryam
- Abstract
In this study using the artificial neural network (ANN), the effects of sodium saccharin and sodium dodecyl sulfate (SDS) additives as well as pulse electroplating parameters such as current density, duty cycle and frequency on the hardness value in Electrodeposition of nano- structured Cr-WC process were modeled. In such as network, the feed-forward multilayer Perceptron was used and trained with back propagation algorithm. The architecture of a neural network consists of 6-10-5-1 model predicted hardness value with 1.88% error in 44 epochs. Comparison between the model predictions and the experimental observations predicted a remarkable agreement between them. Increasing hardness value has been shown by adding SDS and saccharin concentration due to the co-precipitation of WC particle in the coating grain refining effect of saccharin which reduces the grain size of chromium matrix.
- Subjects
CHROMIUM compounds; METAL coating; TUNGSTEN carbide; NANOSTRUCTURED materials; MECHANICAL properties of metals; ELECTROFORMING; ARTIFICIAL neural networks; SODIUM dodecyl sulfate
- Publication
International Review of Mechanical Engineering, 2012, Vol 6, Issue 3, p636
- ISSN
1970-8734
- Publication type
Article