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

Hore, S; Das, Suchandan K; Banerjee, Sriparna; Mukherjee, Shreya

doi:10.1016/j.jmapro.2014.07.009

Cited by 20 publications

(6 citation statements)

References 46 publications

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“…The reduction ratio, temperature, rolling force, roll speeds, and the rolling schedule influence the microstructure of workpiece during the rolling process [121,122]. Few studies combining nanofluids along texture optimisation and the quality of the product have indicated that lubrication during the rolling process has a positive influence [123][124][125][126][127].…”

Section: Mechanical Strength Enhancementmentioning

confidence: 99%

Nanolubrication and tribological behaviour of the rolling process – a review

Sabar

Ghosh

2023

Surface Engineering

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The purpose of the present article is to dispense an extensive review of research works performed to observe the impacts of nanoparticles tribologically and rationalise the use of nanoparticles in metal rolling lubrication. The results of past experimental research were analysed based on tribological behaviour, lubricant characteristics, and rolling quality. Improvements in tribological behaviour, rolled surface characteristics and mechanical strength were illustrated in the present work. A specific concentration of nanoparticles in the base lubricant was discovered which provided beneficial outcomes. The oxide scale formed as an inevitable byproduct is suppressed by the nano-application. The nanoparticles served better in the rolling process in terms of temperature control due to the enhanced thermal conductivity of the base lubricant. The article advocates for the adoption of nanolubrication in replacement of traditional lubricating fluids in the rolling process. The article lastly presents future challenges and the potential of nanolubricants in engineering applications.

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Section: Mechanical Strength Enhancementmentioning

confidence: 99%

Nanolubrication and tribological behaviour of the rolling process – a review

Sabar

Ghosh

2023

Surface Engineering

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“…Using this equation, it is possible to transform Eq. ( 4 ) to It has been taken into account here that A typical evolution equation for internal variables can be written in the form (Lemaitre 1985 ; Chandrakanth and Pandey 1993 ; Ganapathysubramanian and Zabaras 2004 ; Lin and Dean 2005 ; Besson 2010 ; He et al 2012 ; Hore et al 2015 ) where is the hydrostatic stress and F is quite an arbitrary function of its arguments.…”

Section: Statement Of the Problemmentioning

confidence: 99%

“…These equations should be solved simultaneously. Commonly used internal variables are the equivalent strain, various damage parameters (Lemaitre 1985 ; Chandrakanth and Pandey 1993 ; Besson 2010 among many others), dislocation density (Ganapathysubramanian and Zabaras 2004 ; Lin and Dean 2005 ; He et al 2012 ; Hore et al 2015 ) and many other parameters that characterize the microstructure of material.…”

Section: Introductionmentioning

confidence: 99%

Evolution of internal variables in an expanding hollow cylinder at large plastic strains

et al. 2016

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An efficient method for calculating the evolution of internal variables in an expanding hollow cylinder of rigid/plastic material is proposed. The conventional constitutive equations for rigid plastic, hardening material are supplemented with quite an arbitrary set of evolution laws for internal variables assuming that the material is incompressible. No restriction is imposed on the hardening law. The problem is solved in Lagrangian coordinates. This significantly facilitates a numerical treatment of the problem. In particular, the initial/boundary value problem is reduced to a system of equations in characteristic coordinates. A finite difference scheme is used for solving these equations. An illustrative example is presented assuming that the internal variables are the equivalent plastic strain and a damage parameter.

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“…Various approaches exist for modeling the microstructural development of alloys, such as phase field [10,11], Monte Carlo [12][13][14], boundary-dynamic model [15], phase field [16,17] and the vertex model [18,19]. Among these approaches, the Cellular Automaton (CA) method is widely utilized for understanding the nature of DRX behavior due to its advantages of determinacy and calibration capacity in the time and length scales [20,21].…”

Section: Introductionmentioning

confidence: 99%

A Combined Method to Model Dynamic Recrystallization Based on Cellular Automaton and a Phenomenological (CAP) Approach

Azarbarmas

Mirjavadi

Ghasemi

2018

Metals

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Titanium alloys with high stacking-fault energy show continuous dynamic recrystallization (CDRX) instead of discontinuous dynamic recrystallization (DDRX) during high-temperature deformation. During the CDRX mechanism, new recrystallized grains are generated by the progressive increasing of the low-angle boundary misorientations. In the present work, the CDRX phenomenon was modeled by using a cellular automaton (CA)-based method. The size of seeds was determined based on a phenomenological approach, and then the number and distribution of recrystallized grains as well as the topological changes were applied by utilizing the CA approach. In order to verify the capacity of the proposed model for predicting the microstructural characteristics, the experimental data of the hot-compressed TiNiFe alloy were used. Results showed that the presented model can accurately estimate the fraction of the recrystallized area. Moreover, the macroscopic flow curves of the alloy were well predicted by the present model.

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

Cited by 20 publications

References 46 publications

Nanolubrication and tribological behaviour of the rolling process – a review

Nanolubrication and tribological behaviour of the rolling process – a review

Evolution of internal variables in an expanding hollow cylinder at large plastic strains

A Combined Method to Model Dynamic Recrystallization Based on Cellular Automaton and a Phenomenological (CAP) Approach

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