A comparative study of phenomenological, physically-based and artificial neural network models to predict the Hot flow behavior of API 5CT-L80 steel-Reference-Cited by-同舟云学术

A comparative study of phenomenological, physically-based and artificial neural network models to predict the Hot flow behavior of API 5CT-L80 steel

Published:2020-12 Issue: Volume:25 Page:101528
ISSN:2352-4928
Container-title:Materials Today Communications
language:en
Short-container-title:Materials Today Communications

Author:

Ahmadi H.,Rezaei Ashtiani H.R.,Heidari M.

Publisher

Elsevier BV

Subject

Materials Chemistry,Mechanics of Materials,General Materials Science

Reference45 articles.

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4. L80 pipe steel microstructure assessment using ultrasonic testing;Kennedy;Mater. Sci. Technol. (United Kingdom),2019

5. Effect of the chemical homogeneity of a quenched and tempered c-Mn steel pipe on the mechanical properties and phase transformations;da Silva Lima;Mater. Res.,2019

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