Prediction of creep curve of HP40Nb steel using artificial neural network-Reference-Cited by-同舟云学术

Prediction of creep curve of HP40Nb steel using artificial neural network

Published:2017-02-23 Issue:9 Volume:30 Page:2953-2964
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Ghatak Amitava^ORCID,Robi P. S.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/article/10.1007/s00521-017-2851-9/fulltext.html

Reference56 articles.

1. Park DB, Hong SM, Lee KH et al (2014) High-temperature creep behavior and microstructural evolution of an 18Cr9Ni3CuNbVN austenitic stainless steel. Mater Charact 93:52–61

2. Hayhurst DR, Vakili-Tahami F, Zhou JQ (2003) Constitutive equations for time independent plasticity and creep of 316 stainless steel at 550 °C. Int J Press Vessel Pip 80:97–109

3. Ha VT, Jung WS (2012) Creep behavior and microstructure evolution at 750 °C in a new precipitation-strengthened heat-resistant austenitic stainless steel. Mater Sci Eng A 558:103–111

4. Ghatak A, Robi PS (2015) Creep behavior and creep life assessment of HP40Nb reformer steel. Int J Res Eng Appl Sci 5:98–105

5. Ghatak A, Robi PS (2015) Investigation of micro-structure and creep life analysis of centrifugally cast Fe–Cr–Ni alloy reformer tubes. Manuf Sci Tech 3:155–159

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