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microstructural evolution models

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Series: ASM Handbook
Volume: 14A
Publisher: ASM International
Published: 01 January 2005
DOI: 10.31399/asm.hb.v14a.a0004027
EISBN: 978-1-62708-185-6
... Abstract The systematic study of microstructural evolution during deformation under hot working conditions is important in controlling processing variables to achieve dimensional accuracy. This article explains the microstructural features that need to be modeled and provides an outline...
Series: ASM Handbook
Volume: 22A
Publisher: ASM International
Published: 01 December 2009
DOI: 10.31399/asm.hb.v22a.a0005414
EISBN: 978-1-62708-196-2
... Abstract Computer simulation of microstructural evolution during hot rolling of steels is a major topic of research and development in academia and industry. This article describes the methodology and procedures commonly employed to develop microstructural evolution models to simulate...
Series: ASM Handbook
Volume: 22B
Publisher: ASM International
Published: 01 November 2010
DOI: 10.31399/asm.hb.v22b.a0005511
EISBN: 978-1-62708-197-9
... with kinetic and microstructural evolution models greatly enhances the power of the CALPHAD approach in materials design and processing development. It also discusses the limitations of the CALPHAD approach. CALPHAD approach industrial applications microstructural evolution models phase diagram...
Series: ASM Handbook
Volume: 6A
Publisher: ASM International
Published: 31 October 2011
DOI: 10.31399/asm.hb.v06a.a0005599
EISBN: 978-1-62708-174-0
... Abstract This article focuses on the general internal state variable method, and its simplification, for single-parameter models, in which the microstructure evolution may be treated as an isokinetic reaction. It explains that isokinetic microstructure models are applied to diffusional...
Series: ASM Handbook
Volume: 22A
Publisher: ASM International
Published: 01 December 2009
DOI: 10.31399/asm.hb.v22a.a0005406
EISBN: 978-1-62708-196-2
... Abstract This article focuses on the intermediate length scales, where transport phenomena govern the spatial and temporal evolution of a structure. It presents the cellular automaton (CA) and phase field (PF) methods that represent the state of the art for modeling macrostructure...
Series: ASM Handbook
Volume: 22A
Publisher: ASM International
Published: 01 December 2009
DOI: 10.31399/asm.hb.v22a.a0005459
EISBN: 978-1-62708-196-2
... Abstract This article summarizes the general features of microstructure evolution during the thermomechanical processing (TMP) of nickel-base superalloys and the challenges posed by the modeling of such phenomena. It describes the fundamentals and implementations of various modeling...
Series: ASM Handbook
Volume: 22A
Publisher: ASM International
Published: 01 December 2009
DOI: 10.31399/asm.hb.v22a.a0005409
EISBN: 978-1-62708-196-2
... Abstract This article focuses on the modeling of microstructure evolution during thermomechanical processing in the two-phase field for alpha/beta and beta titanium alloys. It also discusses the mechanisms of spheroidization, the coarsening, particle growth, and phase decomposition in titanium...
Series: ASM Handbook
Volume: 4E
Publisher: ASM International
Published: 01 June 2016
DOI: 10.31399/asm.hb.v04e.a0006277
EISBN: 978-1-62708-169-6
... Abstract This article describes the integration of thermodynamic modeling, mobility database, and phase-transformation crystallography into phase-field modeling and its combination with transformation texture modeling to predict phase equilibrium, phase transformation, microstructure evolution...
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Published: 01 December 2009
Fig. 1 Potts model simulation of the microstructural evolution of a silicon steel. Grains that are part of a <110> fiber parallel to the sheet normal, within 15° of the <110> axis, are shown in light gray; <111> fiber grains are shown in white; and <100> fiber grains More
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Published: 01 December 2009
Fig. 6 Evolution of microstructure during a Potts model simulation of a two-component system in which the initial distribution of components is equal and R A = R B = 0.5. The A and B components are differentiated by the gray scale. The simulation was performed using a square (1,2 More
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Published: 01 December 2009
Fig. 8 Evolution of microstructure during a Potts model simulation of a two-component system in which the initial distribution of components is unequal and the A-B boundaries have a mobility advantage: f B = 0.05, M A = M B = 1, M AB = 100. The A and B components are differentiated More
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Published: 01 December 2009
Fig. 15 Evolution of microstructure during a Potts model simulation of anisotropic grain growth of a single-texture component, using Read-Shockley energies and uniform mobilities. The simulation was performed using a square (1,2) lattice, Glauber dynamics, metropolis transition probability More
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Published: 01 December 2009
Fig. 17 Evolution of microstructure during a Potts model simulation of anisotropic grain growth of a single-texture component, using Read-Shockley energies and anisotropic mobilities to show the emergence of an abnormal grain More
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Published: 01 December 2009
Fig. 19 Evolution of microstructure during a Potts model simulation of anisotropic grain growth in a texture gradient, using Read-Shockley energies and anisotropic mobilities. The simulation was performed using a square (1,2) lattice, Glauber dynamics, metropolis transition probability More
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Published: 01 December 2009
Fig. 25 Flow-chart for modeling microstructural evolution More
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Published: 01 December 2009
Fig. 10 Model algorithm for treating the evolution of a microstructure comprising initial grains and prior recrystallized grains. Source: Ref 6 More
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Published: 01 December 2009
Fig. 16 Vertex model predictions of microstructure evolution from the initial configuration (a) to the final pinned state (d) for the case of a banded distribution of particles. Source: Ref 34 More
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Published: 01 December 2004
Fig. 1 Classification of computational models for microstructure evolution based on mathematical method and calculation outcome. Source: Ref 1 More
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Published: 01 December 2004
Fig. 9 Model output of microstructure evolution of eutectic spheroidal graphite iron during solidification. (a) Solidification fraction ( f s ) = 0.24. (b) f s = 0.55. (c) f s = 0.72. (d) f s = 0.99. Length of each square = 200 μm. Source: Ref 17 More
Series: ASM Handbook
Volume: 22A
Publisher: ASM International
Published: 01 December 2009
DOI: 10.31399/asm.hb.v22a.a0005427
EISBN: 978-1-62708-196-2
... required activities in several key areas, specifically: Use of advanced materials models to integrate analytical tools for simulating the casting and heat treatment processes with analysis of component durability Linking fundamental models for microstructural evolution with fundamental models...