Data-based selection of creep constitutive models for high-Cr heat-resistant steel.

106 Metallic materials 404 Materials informatics / Genomics Creep constitutive equation bayesian free energy grade 91 steel model selection method steady-state creep theta method

Journal

Science and technology of advanced materials
ISSN: 1468-6996
Titre abrégé: Sci Technol Adv Mater
Pays: United States
ID NLM: 101614420

Informations de publication

Date de publication:
2020
Historique:
received: 09 08 2019
revised: 25 12 2019
accepted: 19 01 2020
entrez: 4 6 2020
pubmed: 4 6 2020
medline: 4 6 2020
Statut: epublish

Résumé

There are two types of creep constitutive equation, one with a steady-state term (steady-state type) and the other with no steady-state term (non-steady-state type). We applied the Bayesian inference framework in order to examine which type is supported by experimental creep curves for a Grade 91 (Gr.91) steel. The Bayesian free energy was significantly lower for the steady-state type under all the test conditions in the ranges of 50-90 MPa at 923 K, 90-160 MPa at 873 K and 170-240 MPa at 823 K, leading to the conclusion that the posterior probability was virtually 1.0. These findings mean that the experimental data supported the steady-state-type equation. The dependence of the evaluated steady-state creep rate on the applied stress indicates that there is a transition in the mechanism governing creep deformation around 120 MPa.

Identifiants

pubmed: 32489481
doi: 10.1080/14686996.2020.1738268
pii: 1738268
pmc: PMC7241477
doi:

Types de publication

Journal Article

Langues

eng

Pagination

219-228

Informations de copyright

© 2020 The Author(s). Published by National Institute for Materials Science in partnership with Taylor & Francis Group.

Auteurs

Hitoshi Izuno (H)

Research and Services Division of Materials Data and Integrated System, National Institute for Materials Science, Ibaraki, Japan.

Masahiko Demura (M)

Research and Services Division of Materials Data and Integrated System, National Institute for Materials Science, Ibaraki, Japan.

Masaaki Tabuchi (M)

Research Center for Structural Materials, National Institute for Materials Science, Ibaraki, Japan.

Yoh-Ichi Mototake (YI)

The Institute of Statistical Mathematics, Tokyo, Japan.

Masato Okada (M)

Research and Services Division of Materials Data and Integrated System, National Institute for Materials Science, Ibaraki, Japan.
Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan.

Classifications MeSH