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3D level set modeling of static recrystallization considering stored energy fields

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TLDR
A new efficient implementation of the static recrystallization (SRX) model which aims to overcome this limitation by taking full advantage of recent numerical developments (Shakoor et al., 2015; Scholtes et al, 2015).
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This article is published in Computational Materials Science.The article was published on 2016-09-01. It has received 57 citations till now. The article focuses on the topics: Level set method.

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Citations
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Journal ArticleDOI

Modeling of dynamic and post-dynamic recrystallization by coupling a full field approach to phenomenological laws

TL;DR: In this paper, a level set framework for the full field modeling of dynamic and post-dynamic recrystallization in a 3D polycrystalline material with an accurate description of grains topology at large deformation and application to 304L austenitic stainless steel is described.
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Mesoscopic coupled modeling of texture formation during recrystallization considering stored energy decomposition

TL;DR: In this article, microstructure-based simulations were performed to understand the mechanism involved with texture formation during recrystallization in polycrystalline interstitial free (IF) steel.
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Recrystallization and texture evolution during hot rolling of copper, studied by a multiscale model combining crystal plasticity and vertex models

TL;DR: In this article, a multiscale modeling framework combining a graph-based vertex model of microstructure evolution with a GPU-parallelized crystal plasticity model is proposed for hot rolling of copper.
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Normal and abnormal grain growth in magnesium: Experimental observations and simulations

TL;DR: In this article, the authors explored the interplay between curvature and residual dislocation-density-gradient-driven grain growth simulations using a formerly developed level-set approach, and the simulation outcome suggests that application of such a modeling approach in microstructure studies of magnesium can provide valuable new insights into the problem of grain growth and associated texture evolution.
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A modified Avrami equation for kinetics of static recrystallization of Nb-V microalloyed steel: Experiments and numerical simulation

TL;DR: In this article, a series of two-stage hot compression tests were performed on Gleeble 1500 Nb-V microalloyed steel and a modified Avrami model was proposed.
References
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Book

Recrystallization and Related Annealing Phenomena

TL;DR: In this paper, the authors discuss the extent to which we are able to formulate quantitative, physically-based models which can be applied to metal-forming processes, and the subjects treated in this book are all active research areas and form a major part of at least four regular international conference series.
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Prediction of steel flow stresses at high temperatures and strain rates

TL;DR: In this paper, the flow behavior of steels during deformation in the roll gap was simulated by means of single hit compression tests performed in the temperature range 800 °C to 1200 °C.
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Cellular Automata in Materials Science with Particular Reference to Recrystallization Simulation

TL;DR: An introduction to the fundamentals of cellular automata and applications, particularly for those that predict recrystallization phenomena, are given and applications are reviewed.
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Finite element modeling of crystal plasticity with grains shaped as truncated octahedrons

TL;DR: In this article, different modeling strategies are tested for the prediction of texture development and microscopic strain heterogeneity in cold-rolled ULC steel and in multiphase steel under uniaxial tension.
Journal ArticleDOI

Computer simulation of recrystallization in non-uniformly deformed metals

TL;DR: The failure of the JMAK theory as applied to recrystallization is due to the lack of uniformity of the stored energy of plastic deformation on the grain size scale as mentioned in this paper.
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