Modelling discontinuous dynamic recrystallization using a physically based model for nucleation

Cram, Darren Geoffrey; Zurob, Hatem S.; Bréchet, Y.; Hutchinson, Christopher

doi:10.1016/j.actamat.2009.07.024

Cited by 218 publications

(88 citation statements)

References 38 publications

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“…A lot of researchers have placed attention on using different measures to analyze flow stress and dynamic recrystallization. Cram [6] extended and successfully applied a physically based description for nucleation in static recrystallization to nucleation during dynamic recrystallization (DRX), and comparisons between experiment and model calculations showed good agreement over a wide range of deformation temperature, initial grain size, and applied strain rate. Beltran [7] developed and validated a model describing recrystallization in metallic materials capable of handling DRX, post-dynamic recrystallization (PDRX), and grain growth against experimental test cases for multi-pass hot deformation of 304L austenitic stainless steel, predicting microstructural evolution due to different recrystallization regimes through a modified Kocks-Mecking equation.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Recrystallization and Hot Workability of 316LN Stainless Steel

Sun

Xiang

Zhou

et al. 2016

Metals

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Abstract:To identify the optimal deformation parameters for 316LN austenitic stainless steel, it is necessary to study the macroscopic deformation and the microstructural evolution behavior simultaneously in order to ascertain the relationship between the two. Isothermal uniaxial compression tests of 316LN were conducted over the temperature range of 950-1150˝C and for the strain rate range of 0.001-10 s´1 using a Gleeble-1500 thermal-mechanical simulator. The microstructural evolution during deformation processes was investigated by studying the constitutive law and dynamic recrystallization behaviors. Dynamic recrystallization volume fraction was introduced to reveal the power dissipation during the microstructural evolution. Processing maps were developed based on the effects of various temperatures, strain rates, and strains, which suggests that power dissipation efficiency increases gradually with increasing temperature and decreasing stain rate. Optimum regimes for the hot deformation of 316LN stainless steel were revealed on conventional hot processing maps and verified effectively through the examination of the microstructure. In addition, the regimes for defects of the product were also interpreted on the conventional hot processing maps. The developed power dissipation efficiency maps allow optimized processing routes to be selected, thus enabling industry producers to effectively control forming variables to enhance practical production process efficiency.

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Section: Introductionmentioning

confidence: 99%

Dynamic Recrystallization and Hot Workability of 316LN Stainless Steel

Sun

Xiang

Zhou

et al. 2016

Metals

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“…Furthermore the predicted grain size distributions are improved as compared to former mean field models [14,15,16,17] even if their are still quite far from experimental ones.…”

Section: Introductionmentioning

confidence: 70%

“…2, the grain boundary migration of a specific grain depends 130 on the average microstructure through the values R * and ρ * , which means that no realistic topology is considered in pre-existing mean field models [14,15,16,17]. An attempt to take a realistic topology into account is presented in section 3.…”

Section: Constitutive Laws For Mean Field Modeling Of Drxmentioning

confidence: 99%

“…This limitation is due to the fact that all grains which have nucleated at a given time have the same evolution (in size and dislocation density) in mean field models [14,15,16,17] whereas in a real microstructure, each grain evolves depending on 60 its own neighborhood. Therefore, in this work a new topological approach for the mean field modeling of DRX is proposed.…”

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confidence: 99%

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A new topological approach for the mean field modeling of dynamic recrystallization

et al. 2018

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de Micheli, et al.. A new topological approach for the mean field modeling of dynamic recrystallization. Materials and Design, Elsevier, 2018, 146, pp.194-207. 10 is based on a more precise description of the immediate vicinity and of the shape of each grain to describe microstructural evolution all along the hot deformation process.Results provided by the new model are compared to those of a former mean field formulation and those of a full field model with an explicit description of the microstructure.The predictions of the new model in terms of recrystallization kinetics and grain size distributions are satisfactory and the progress when compared to former mean field models is obvious. Furthermore, the limitation of mean field models concerning the non-realistic shape of grain size distributions has been solved in this new formulation.

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“…The volumetric term is considered in the models of [29,30] while the boundary energy term is used in the models of [22,31]. Using (5), the driving force F for grain boundary migration will be related to the energy change occurring as the size of the grain is changed, i.e.…”

Section: Evolution Laws and Recrystallization Kinematicsmentioning

confidence: 99%

Simulation of discontinuous dynamic recrystallization in pure Cu using a probabilistic cellular automaton

Hallberg

Wallin

Ristinmaa

2010

Computational Materials Science

110

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A cellular automaton algorithm with probabilistic cell switches is employed in the simulation of dynamic discontinuous recrystallization. Recrystallization kinetics are formulated on a microlevel where, once nucleated, new grains grow under the driving pressure available from the competing processes of stored energy minimization and boundary energy reduction. Simulations of the microstructural changes in pure Cu under hot compression are performed where the influence of different thermal conditions are studied. The model is shown to capture both the microstructural evolution in terms of grain size and grain shape changes and also the macroscopic flow stress behavior of the material. The latter gives the expected transition from single-to multiple-peak serrated flow with increasing temperature. Further, the effects on macroscopic flow stress by varying the initial grain size is analyzed and the model is found to replicate the shift towards more serrated flow as the initial grain size is reduced. Conversely, the flow stress is stabilized by larger initial grain sizes. The extent of recrystallization as obtained from simulations are compared to classical JMAK theory and proper agreement with theory is established. In addition, by tracing the strain state during the simulations, a post-processing step is devised to obtain the macroscopic deformation of the cellular automaton domain, giving the expected deformation of the equiaxed recrystallized grains due to the macroscopic compression.

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Modelling discontinuous dynamic recrystallization using a physically based model for nucleation

Cited by 218 publications

References 38 publications

Dynamic Recrystallization and Hot Workability of 316LN Stainless Steel

Dynamic Recrystallization and Hot Workability of 316LN Stainless Steel

A new topological approach for the mean field modeling of dynamic recrystallization

Simulation of discontinuous dynamic recrystallization in pure Cu using a probabilistic cellular automaton

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