Identifying grain size in ASTM A36 steel using ultrasonic backscattered signals and machine learning-Reference-Cited by-同舟云学术

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Identifying grain size in ASTM A36 steel using ultrasonic backscattered signals and machine learning

Published:2024-10 Issue: Volume:147 Page:103181
ISSN:0963-8695
Container-title:NDT & E International
language:en
Short-container-title:NDT & E International

Author:

Viana M.C.A.^ORCID,Pereira P.^ORCID,Buenos A.A.^ORCID,Santos A.A.^ORCID

Publisher

Elsevier BV

Reference43 articles.

1. Ultrasonic stress measurement using PC based and commercial flaw detectors;Santos;Rev Sci Instrum,2000

2. A method for determination of elastic constants of a unidirectional lamina from ultrasonic bulk velocity measurements on [0/90] cross-ply composites;Chu;J Acoust Soc Am,1994

3. Influence of grain size on the propagation of L CR waves in low carbon steel;Buenos;J Nondestruct Eval,2014

4. Effect of grain size on the ultrasonic parameters in stainless steels;Mutlu;Int J Microstruct Mater Prop,2009

5. Comprehensive microstructural characterization in modified 9Cr-1Mo ferritic steel by ultrasonic measurements;Kumar;Metall Mater Trans A,2002

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