Correlating Roughness and Implantation Characteristics in Steel: A Computer Modelling Study

The understanding and prediction of surface properties in nanomaterials are essential for optimizing product performance. This research presents a computer modelling study focused on nanoscale surface treatment and the relationship between surface roughness and the thickness of a film applied during titanium nitrogen ion implantation into stainless steel. Optical microscopy was employed to analyse the surface, while the RIO software was utilized to simulate the implantation parameters. The study revealed a correlation between the height of the surface layer and the thickness of the applied film. The results demonstrated a regular pattern, supported by a high reliability value for the cubic equation and a correlation coefficient close to 1. This finding indicates that the technique can be effectively used to predict the surface roughness of samples before further processing, allowing for adjustments in the implantation modes based on intended material purposes.