Computational modelling of static recrystallization and two dimensional microstructure evolution during hot strip rolling of advanced high strength steel

Hore, S and Das, Suchandan K and Banerjee, S and Mukherjee, S (2015) Computational modelling of static recrystallization and two dimensional microstructure evolution during hot strip rolling of advanced high strength steel. Journal of Manufacturing Processes, 17 (IF-1.528). pp. 78-87.

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Abstract

A coupled Monte Carlo simulation technique has been developed for hot rolling of advanced high strength
steel(AHSS)to simulate the microstructure evolution during static recrystallization. The physically based
dislocation evolution model has been formulated to study the deformation behaviour of austenite during
hot rolling. The model envisages both hardening and softening regimes during deformation. The evolution
of dislocation density as a function of strain has been predicted and the deformation stored energy
has been calculated. The computed value of the stored energy of the system has been passed to the Monte
Carlo model to construct the total energy Hamiltonian of the lattice system. Both the models have been
seamlessly coupled to simulate the kinetics of recrystallization, recrystallized grain size and evolution
of microstructure at different strains during forming. A continuum microstructure is mapped onto a two
dimensional square lattice and high fidelity simulation has been carried out to characterize recrystallization
behaviour. The Avrami exponent obtained from the kinetics of recrystallization predicted by
coupled Monte Carlo model has been validated with the published literature. The recrystallized grain
size and evolution of microstructure predicted by the coupled Monte Carlo model has been verified with
the published data for a typical AHSS and found to be in very good agreement.

Item Type: Article
Uncontrolled Keywords: Steel; Thermomechanical processing; Dislocations; Grain growth; Recrystallization; 2D Monte Carlo simulation
Subjects: Mathematical Modelling
Divisions: Mathematical Modelling and Simulation
Depositing User: Dr. A K Sahu
Date Deposited: 07 Jan 2015 06:24
Last Modified: 07 Jan 2015 06:24
URI: http://eprints.nmlindia.org/id/eprint/7151

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