Some Facts We Can Learn from Analytical Modeling of DDRX in Pure Metals and Solid Solutions
Modeling and simulation of discontinuous dynamic recrystallization (DDRX) are now commonly carried out by numerical methods, most often finite element computation. It is also possible to use simple analytical approaches on the grain scale to get relevant information about the basic mechanisms involv...
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doaj-6a36cc2765d141458758d15c697cc6542020-11-25T00:50:07ZengMDPI AGMetals2075-47012018-10-0181078910.3390/met8100789met8100789Some Facts We Can Learn from Analytical Modeling of DDRX in Pure Metals and Solid SolutionsFrank Montheillet0Mines Saint-Etienne, Univ Lyon, CNRS, UMR 5307 LGF, Centre SMS, F-42023 Saint-Etienne, FranceModeling and simulation of discontinuous dynamic recrystallization (DDRX) are now commonly carried out by numerical methods, most often finite element computation. It is also possible to use simple analytical approaches on the grain scale to get relevant information about the basic mechanisms involved in DDRX, in particular regarding the large strain steady state behaviour. This is illustrated in the present paper on the basis of a model previously proposed by the author and co-workers, which is first briefly presented. The macroscopic constitutive parameters associated with DDRX are then derived and three distinct “Derby exponents” are introduced for describing the relationship between steady state grain size and flow stress. Finally, it is shown, with the example of grain sizes, that not only can average quantities be predicted analytically, but also their distributions.http://www.mdpi.com/2075-4701/8/10/789recrystallizationsteady statemodelingconstitutive parametersDerby exponentgrain size distribution |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Frank Montheillet |
spellingShingle |
Frank Montheillet Some Facts We Can Learn from Analytical Modeling of DDRX in Pure Metals and Solid Solutions Metals recrystallization steady state modeling constitutive parameters Derby exponent grain size distribution |
author_facet |
Frank Montheillet |
author_sort |
Frank Montheillet |
title |
Some Facts We Can Learn from Analytical Modeling of DDRX in Pure Metals and Solid Solutions |
title_short |
Some Facts We Can Learn from Analytical Modeling of DDRX in Pure Metals and Solid Solutions |
title_full |
Some Facts We Can Learn from Analytical Modeling of DDRX in Pure Metals and Solid Solutions |
title_fullStr |
Some Facts We Can Learn from Analytical Modeling of DDRX in Pure Metals and Solid Solutions |
title_full_unstemmed |
Some Facts We Can Learn from Analytical Modeling of DDRX in Pure Metals and Solid Solutions |
title_sort |
some facts we can learn from analytical modeling of ddrx in pure metals and solid solutions |
publisher |
MDPI AG |
series |
Metals |
issn |
2075-4701 |
publishDate |
2018-10-01 |
description |
Modeling and simulation of discontinuous dynamic recrystallization (DDRX) are now commonly carried out by numerical methods, most often finite element computation. It is also possible to use simple analytical approaches on the grain scale to get relevant information about the basic mechanisms involved in DDRX, in particular regarding the large strain steady state behaviour. This is illustrated in the present paper on the basis of a model previously proposed by the author and co-workers, which is first briefly presented. The macroscopic constitutive parameters associated with DDRX are then derived and three distinct “Derby exponents” are introduced for describing the relationship between steady state grain size and flow stress. Finally, it is shown, with the example of grain sizes, that not only can average quantities be predicted analytically, but also their distributions. |
topic |
recrystallization steady state modeling constitutive parameters Derby exponent grain size distribution |
url |
http://www.mdpi.com/2075-4701/8/10/789 |
work_keys_str_mv |
AT frankmontheillet somefactswecanlearnfromanalyticalmodelingofddrxinpuremetalsandsolidsolutions |
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