Neural Network-Based Evaluation of Hardness in Cold-Rolled Austenitic Stainless Steel Under Various Heat Treatment Conditions

Neural Network-Based Evaluation of Hardness in Cold-Rolled Austenitic Stainless Steel Under Various Heat Treatment Conditions

This study introduces an innovative, non-contact method for classifying the hardness of austenitic stainless steels (grade AISI 304) based on their intrinsic magnetic fields. Utilizing a 3 × 3 matrix sensor system, this research captures weak magnetic fields to produce precise 2D magnetic field maps...

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Bibliographic Details
Main Authors: Milan Smetana, Michal Gala, Daniela Gombarska, Peter Klco
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Applied Sciences
Subjects:
electromagnetic non-destructive evaluation
intrinsic magnetic field
austenitic stainless steel
convolution neural networks
anisotropic magneto-resistive sensors
stochastic gradient descent with momentum
Online Access:https://www.mdpi.com/2076-3417/15/3/1352

Internet

https://www.mdpi.com/2076-3417/15/3/1352

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