Comparative Regression and Neural Network Modeling of Roughness and Kerf Width in CO2 Laser Cutting of Aluminium

Comparative Regression and Neural Network Modeling of Roughness and Kerf Width in CO2 Laser Cutting of Aluminium

Laser cutting is the most promising thermal-based unconventional manufacturing process which can cut complex shapes on different materials. Surface roughness and kerf width are the important characteristics that determine the product quality and rely on the rational selection of the input parameters...

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Bibliographic Details
Main Authors: Senthilkumar Vagheesan*, Jayaprakash Govindarajulu
Format: Article
Language:English
Published: Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek 2021-01-01
Series:Tehnički Vjesnik
Subjects:
ANN
kerf width
laser aluminium cutting
regression
surface roughness
Online Access:https://hrcak.srce.hr/file/380181

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