Prediction of Kerf Width in Laser Cutting of Thin Non-Oriented Electrical Steel Sheets Using Convolutional Neural Network

Prediction of Kerf Width in Laser Cutting of Thin Non-Oriented Electrical Steel Sheets Using Convolutional Neural Network

Kerf width is one of the most important quality items in cutting of thin metallic sheets. The aim of this study was to develop a convolutional neural network (CNN) model for analysis and prediction of kerf width in laser cutting of thin non-oriented electrical steel sheets. Three input process param...

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Bibliographic Details
Main Authors: Dinh-Tu Nguyen, Jeng-Rong Ho, Pi-Cheng Tung, Chih-Kuang Lin
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Mathematics
Subjects:
laser cutting
kerf width
convolutional neural network
non-oriented electrical steel
Online Access:https://www.mdpi.com/2227-7390/9/18/2261

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