A Predictive Modeling Based on Regression and Artificial Neural Network Analysis of Laser Transformation Hardening for Cylindrical Steel Workpieces

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ISSN Print: 2161-4881
ISSN Online: 2161-489X
www.scirp.org/journal/jsemat
E-mail: jsemat@scirp.org

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"A Predictive Modeling Based on Regression and Artificial Neural Network Analysis of Laser Transformation Hardening for Cylindrical Steel Workpieces"
written by Ahmed Ghazi Jerniti, Abderazzak El Ouafi, Noureddine Barka,
published by Journal of Surface Engineered Materials and Advanced Technology, Vol.6 No.4, 2016

has been cited by the following article(s):

[1]	Deep learning for laser materials processing and self-piercing riveting
	2020

[2]	Deep learning model for predicting hardness distribution in laser heat treatment of AISI H13 tool steel
	2019

[3]	Servo-Control applied to the Parameters of the Laser Hardening Process for a Regular Case Depth of 4340 Steel Cylindrical Specimen
	2019

[4]	Experimental Investigation of Laser Surface Transformation Hardening of 4340 Steel Spur Gears
	Journal of Manufacturing and Materials Processing, 2019

[5]	Optimization of the Case Depth of a Cylinder Made with 4340 Steel by a Control of the Laser Heat Treatment Parameters
	2018

[1]	Effect of Laser Traverse Speed during Laser Hardening on Hardness Distribution and Microstructure of Hot Work Tool Steel H11 Manufacturing Technology, 2023 DOI:10.21062/mft.2023.021

[2]	Servo-Control Applied to the Parameters of the Laser Hardening Process for a Regular Case Depth of 4340 Steel Cylindrical Specimen Journal of Computing and Information Science in Engineering, 2019 DOI:10.1115/1.4042918

[3]	Experimental Investigation of Laser Surface Transformation Hardening of 4340 Steel Spur Gears Journal of Manufacturing and Materials Processing, 2019 DOI:10.3390/jmmp3030072

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