Application of an Artificial Neural Network to Develop Fracture Toughness Predictor of Ferritic Steels Based on Tensile Test Results

Analyzing the structural integrity of ferritic steel structures subjected to large temperature variations requires the collection of the fracture toughness (<i>K<sub>J</sub></i><sub>c</sub>) of ferritic steels in the ductile-to-brittle transition region. Consequen...

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Bibliographic Details
Main Authors: Kenichi Ishihara, Hayato Kitagawa, Yoichi Takagishi, Toshiyuki Meshii
Format: article
Language:EN
Published: MDPI AG 2021
Subjects:
Online Access:https://doaj.org/article/6877efa5a65d4c2f999a2270a37b7b39
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