Yang, Lihang. Prediction of surface texture parameters using machine learning in laser surface texturing. Retrieved from https://doi.org/doi:10.7282/t3-8fb9-p877
DescriptionLaser surface texturing provides several benefits such as improved tribological behavior of the surface, reduced friction, increased anti-adhesive properties and improved wettability and lubrication applications. However, surface topography or surface texture resulting from laser processing and the relation between laser texturing parameters and surface texture parameters are not well understood. In the thesis paper, besides the statistical tool such as linear regression, Machine learning methods such as Artificial Neural Networks are utilized to generate a predictive modelling capability for the relationships between laser surface processing parameters and the resultant texture parameters on the scale-limited surfaces surveyed.