Artificial neural network modeling of composition–process–property correlations in austenitic stainless steels-Reference-Cited by-同舟云学术

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Artificial neural network modeling of composition–process–property correlations in austenitic stainless steels

Published:2008-06 Issue:1-2 Volume:485 Page:571-580
ISSN:0921-5093
Container-title:Materials Science and Engineering: A
language:en
Short-container-title:Materials Science and Engineering: A

Author:

Mandal Sumantra,Sivaprasad P.V.,Venugopal S.,Murthy K.P.N.,Raj Baldev

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science

Reference49 articles.

1. Kinetics of flow and strain-hardening

2. A unified phenomenological description of work hardening and creep based on one-parameter models

3. A dislocation model for the stress-strain behaviour of polycrystalline α-Fe with special emphasis on the variation of the densities of mobile and immobile dislocations

4. The high temperature and high strain-rate behaviour of a plain carbon and an HSLA steel

5. Development of constitutive equations for modelling of hot rolling

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