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Investigation of the Mechanical and Magnetic Property Changes in Austenitic Stainless Steel AISI 304 After Cold Rolling Under Various Heat Treatment Conditions
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Neural Network-Based Evaluation of Hardness in Cold-Rolled Austenitic Stainless Steel Under Various Heat Treatment Conditions
1. Introduction The non-destructive evaluation (NDE) of materials using diverse physical methods is a cornerstone of quality assurance in modern industry, ensuring the safety and reliability of products both during production and in service. Material structures often contain surface or internal defects or undesirable variations in shape and microstructure, which can significantly impact a product’s service life or even compromise the integrity of entire systems.
Progress in Evaluation of Deep Artificial Defects from Sweep-Frequency Eddy-Current Testing Signals
Open AccessArticle by *, and Department of Electromagnetic and Biomedical Engineering, Faculty of Electrical Engineering and Information Technology, University of Zilina, Univerzitna 8215/1, 010 26 Zilina, Slovakia * Author to whom correspondence should be addressed.
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