Integration of RSM and Machine Learning for Accurate Prediction of Surface Roughness in Laser Processing

Integration of RSM and Machine Learning for Accurate Prediction of Surface Roughness in Laser Processing

This study investigates the modeling of surface roughness (Ra) in the laser cutting of EN 10130 steel process by integrating classical statistical and machine learning methods. First, a quadratic model was developed using response surface methodology (RSM) based on a Box–Behnken experimental design...

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Bibliographic Details
Main Authors: Dragan Rodić, Milenko Sekulić, Borislav Savković, Miloš Madić, Milan Trifunović
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Applied Sciences
Subjects:
surface roughness
laser cutting
response surface methodology
regression tree
hybrid modeling
machine learning
Online Access:https://www.mdpi.com/2076-3417/15/13/7064
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