FeNb magnetic properties correlated to microstructure features

We studied the effect of high-velocity oxy-fuel (HVOF) coating process parameters on magnetic properties of FeNb considering the role of coating microstructure. The present study was conducted using artificial neural network methodology. A first artificial neural network was optimized to relate process parameters to coating microstructure features. The effect of process parameters on magnetic properties was quantified by a second network. Predicted magnetic properties correlated to microstructure features were obtained using these optimized network structures. It was then possible to point out the role of microstructure for improvement coercivity, saturation magnetization and remanent magnetization.