Open AccessModeling surface roughness of point robot laser hardening, with emphasis on the surface
Author(s) -
Matej Babič
Publication year - 2021
Publication title -
politehnika
Language(s) - English
Resource type - Journals
eISSN - 2584-5373
pISSN - 2584-6264
DOI - 10.36978/cte.5.1.1
Subject(s) - surface roughness , robot , laser , materials science , hardening (computing) , surface finish , mechanical engineering , computer science , artificial intelligence , composite material , engineering , optics , physics , layer (electronics)
The topic of Machine Learning is so popular that it is not only the future trend, but also the money tide. Machine learning technique and intelligent system methods are very popular in mechanical engineering. Robot laser surface hardening is one of the most promising techniques for surface modification of the microstructure of a material to improve wear and corrosion resistance. For predicting the surface roughness of the hardened specimens, the support vector machine and multiple regression is used. The aim of this paper is to present modeling roughness of point robot laser hardened specimens with different parameters of robot laser cell.