157
Views
0
CrossRef citations to date
0
Altmetric
Part A: Materials Science

Modelling kinetics of dynamic recrystallisation: introducing new characteristic parameters

& ORCID Icon
Pages 2169-2188 | Received 16 Feb 2021, Accepted 17 Jul 2021, Published online: 11 Aug 2021
 

ABSTRACT

A new characteristic parameter (TM50) is introduced which is defined as threshold temperature below which it is not possible to obtain 50% dynamically recrystallised grains for a given strain rate. This parameter is emerged during analysis of kinetics of dynamic recrystallisation (DRX) by introducing another new parameter. The latter is defined as the maximum possible fraction of dynamically recrystallised grains for a given set of temperature and strain rate. The parameters Xs and TM50 are related through a sigmoidal relationship. Typically, the kinetics of DRX is studied using different forms of Avrami-type equation. In the present investigation, kinetics of DRX is simulated using Logistic model. Unlike Avrami-type models, the mathematical expression for Logistic model does not include exponent. The fitting parameters associated with Logistic model are shown to be connected with the nature of DRX curves and distinct physical interpretation can be given to each parameter. The fitting parameters also exhibit definite mathematical relationship with temperature and strain rate. The strain required for 50% of DRX is shown to have non-linear relationship with inverse of temperature.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 786.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.