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...

Full description

Bibliographic Details
Main Author: Frank Montheillet
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Metals
Subjects:
Online Access:http://www.mdpi.com/2075-4701/8/10/789
id doaj-6a36cc2765d141458758d15c697cc654
record_format Article
spelling 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
_version_ 1725249199940829184