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Book Chapter
Simulation of Microstructure and Texture Evolution in Aluminum Sheet
Available to PurchaseSeries: ASM Handbook
Volume: 22A
Publisher: ASM International
Published: 01 December 2009
DOI: 10.31399/asm.hb.v22a.a0005408
EISBN: 978-1-62708-196-2
... Abstract This article explores the potential of through-process simulations of the development of microstructure, texture, and resulting properties during the thermomechanical processing of Al-Mn-Mg alloys, starting from the as-cast ingot to final-gage sheet. It provides an introduction...
Abstract
This article explores the potential of through-process simulations of the development of microstructure, texture, and resulting properties during the thermomechanical processing of Al-Mn-Mg alloys, starting from the as-cast ingot to final-gage sheet. It provides an introduction of the thermomechanical production of aluminum sheet and, in particular, highlights the main effects governing the evolution of microstructure and texture. The simulation tools used to model the evolution of microchemistry, microstructure, and texture upon deformation and recrystallization of aluminum alloys are described. The article discusses the recrystallization behavior of alloy AA 3104 during the interstand times in between two consecutive hot rolling passes with the help of combined microstructure models.
Book Chapter
Modeling and Simulation of Microstructure Evolution during Heat Treatment of Titanium Alloys
Available to PurchaseSeries: ASM Handbook
Volume: 4E
Publisher: ASM International
Published: 01 June 2016
DOI: 10.31399/asm.hb.v04e.a0006277
EISBN: 978-1-62708-169-6
... energies and atomic mobilities are established as functions of temperature, pressure, and composition and serve directly as key inputs of any microstructure modeling. The article presents examples of the integrated computation tool set in simulating microstructural evolution. Burgers orientation...
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, and transformation texture development during heat treatment of multicomponent alpha/beta and beta titanium alloys. It includes quantitative description of Burgers orientation relationship and path, discussion of lattice correspondence between the alpha and beta phases, and determination of the total number of Burgers correspondence variants and orientation variants. The article also includes calculation of the transformation strain with contributions from defect structures developed at alpha/beta interfaces as a precipitates grow in size. In the CALculation of PHAse Diagram (CALPHAD) framework, the Gibbs free energies and atomic mobilities are established as functions of temperature, pressure, and composition and serve directly as key inputs of any microstructure modeling. The article presents examples of the integrated computation tool set in simulating microstructural evolution.
Book Chapter
Modeling and Simulation of Steel Heat Treatment—Prediction of Microstructure, Distortion, Residual Stresses, and Cracking
Available to PurchaseSeries: ASM Handbook
Volume: 4B
Publisher: ASM International
Published: 30 September 2014
DOI: 10.31399/asm.hb.v04b.a0005950
EISBN: 978-1-62708-166-5
... of microstructure, distortion, residual stress, and cracking in gears, shafts, and bearing rings. bearing rings cracking distortion electrical conductivity gears heat treatment heat treatment simulation induction hardening magnetic permeability microstructure phase transformation residual stress...
Abstract
This article describes the fundamental concepts of heat treatment simulation, including the physical events and their interactions, the heat treatment simulation software, and the commonly used simulation strategies. It summarizes material data needed for heat treatment simulations and discusses reliable data sources as well as experimental and computational methods for material data acquisition. The article provides information on the process data needed for accurate heat treatment simulation and the methods for their determination. Methods for validating heat treatment simulations are also discussed with an emphasis on the underlying philosophy for the selection and design of validation tests. The article also discusses the applications, capabilities, and limitations of heat treatment simulations via selected industrial case studies for a better understanding of the effect of microstructure, distortion, residual stress, and cracking in gears, shafts, and bearing rings.
Book Chapter
Microstructure-Sensitive Modeling and Simulation of Fatigue
Available to PurchaseSeries: ASM Handbook
Volume: 22A
Publisher: ASM International
Published: 01 December 2009
DOI: 10.31399/asm.hb.v22a.a0005405
EISBN: 978-1-62708-196-2
... sites of cyclic plastic strain intensification is pertinent to estimation of a fatigue limit. Table 1 outlines some of the considerations of dominant regimes of crack formation and propagation for HCF and LCF regimes defined in this manner. Microstructure-sensitive, simulation-assisted fatigue...
Abstract
The purposes and methods of fatigue modeling and simulation in high-cycle fatigue (HCF) regime are to design either failsafe components or components with a finite life and to quantify remaining life of components with pre-existing cracks using fracture mechanics, with the intent of monitoring via an inspection scheme. This article begins with a discussion on the stages of the fatigue damage process. It describes hierarchical multistage fatigue modeling and several key points regarding the physics of crack nucleation and microstructurally small crack propagation in the HCF regime. The article provides a description of the microstructure-sensitive modeling to model fatigue of several classes of advanced engineering alloys. It describes the various modeling and design processes designed against fatigue crack initiation. The article concludes with a discussion on the challenges in microstructure-sensitive fatigue modeling.
Image
Phase field simulation of primary α growth. (a) Initial microstructure (dis...
Available to Purchase
in Modeling and Simulation of Microstructure Evolution during Heat Treatment of Titanium Alloys
> Heat Treating of Nonferrous Alloys
Published: 01 June 2016
Fig. 21 Phase field simulation of primary α growth. (a) Initial microstructure (dispersed particles are α phase). (b) Snapshot at t = 1600 s. (c) Growth kinetics (for comparison, the open squares show results obtained from DICTRA simulation using the same thermodynamic and mobility databases
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Image
Evolution of microstructure during a Potts model simulation of a two-compon...
Available to Purchase
in Monte Carlo Models for Grain Growth and Recrystallization
> Fundamentals of Modeling for Metals Processing
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
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Image
Evolution of microstructure during a Potts model simulation of a two-compon...
Available to Purchase
in Monte Carlo Models for Grain Growth and Recrystallization
> Fundamentals of Modeling for Metals Processing
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
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Image
Evolution of microstructure during a Potts model simulation of anisotropic ...
Available to Purchase
in Monte Carlo Models for Grain Growth and Recrystallization
> Fundamentals of Modeling for Metals Processing
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
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Image
Evolution of microstructure during a Potts model simulation of anisotropic ...
Available to Purchase
in Monte Carlo Models for Grain Growth and Recrystallization
> Fundamentals of Modeling for Metals Processing
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
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Image
Evolution of microstructure during a Potts model simulation of anisotropic ...
Available to Purchase
in Monte Carlo Models for Grain Growth and Recrystallization
> Fundamentals of Modeling for Metals Processing
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
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Image
(a) Snapshot of a pinned microstructure in a Potts model simulation of Zene...
Available to Purchase
in Monte Carlo Models for Grain Growth and Recrystallization
> Fundamentals of Modeling for Metals Processing
Published: 01 December 2009
Fig. 23 (a) Snapshot of a pinned microstructure in a Potts model simulation of Zener pinning on a 400 × 400 × 400 lattice, using particles with sizes 3 × 3 × 3. (b) Comparison of pinned grain size with experimental data. Source: Ref 26
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Image
Direct simulation of (small) part-scale microstructure at four scan velocit...
Available to Purchase
in Part-Scale Process Modeling for Metal Additive Manufacturing
> Additive Manufacturing Design and Applications
Published: 30 June 2023
Fig. 8 Direct simulation of (small) part-scale microstructure at four scan velocities. Source: Ref 30
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Book Chapter
Simulation of Microstructural Evolution in Steels
Available to PurchaseSeries: 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...
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 microstructural evolution in steels. It presents an example of the integration of finite element modeling and microstructural evolution models for the simulation of metal flow and microstructural evolution in a hot rolling process.
Book Chapter
Modeling of Casting and Solidification Processes
Available to PurchaseSeries: ASM Handbook
Volume: 22B
Publisher: ASM International
Published: 01 November 2010
DOI: 10.31399/asm.hb.v22b.a0005501
EISBN: 978-1-62708-197-9
... several commonly used microstructure simulation methods and presents ductile iron casting as an example to demonstrate the ability of microstructure simulation. The predictions for the major defects of casting, such as porosity, hot tearing, and macrosegregation, are highlighted. Finally, several industry...
Abstract
This article reviews the topic of computational thermodynamics and introduces the calculation of solidification paths for casting alloys. It discusses the calculation of thermophysical properties and the fundamentals of the modeling of solidification processes. The article describes several commonly used microstructure simulation methods and presents ductile iron casting as an example to demonstrate the ability of microstructure simulation. The predictions for the major defects of casting, such as porosity, hot tearing, and macrosegregation, are highlighted. Finally, several industry applications are presented.
Book Chapter
Part-Scale Process Modeling for Metal Additive Manufacturing
Available to PurchaseSeries: ASM Handbook
Volume: 24A
Publisher: ASM International
Published: 30 June 2023
DOI: 10.31399/asm.hb.v24A.a0006976
EISBN: 978-1-62708-439-0
.... The article then provides an overview of thermal modeling. It presents a discussion on solid mechanics simulation and microstructure simulation. distortions metal additive manufacturing microstructure simulation residual stress solid mechanics simulation thermal modeling thermomechanical...
Abstract
This article provides an overview of different modeling approaches used to capture the phenomena present in the additive manufacturing (AM) process. Inherent to the thermomechanical processing that occurs in AM for metals is the development of residual stresses and distortions. The article then provides an overview of thermal modeling. It presents a discussion on solid mechanics simulation and microstructure simulation.
Image
Microstructural development for primary recrystallization simulated using a...
Available to PurchasePublished: 01 January 2005
Fig. 9 Microstructural development for primary recrystallization simulated using a three-dimensional cellular automaton. Source: Ref 22
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Image
Microstructural evolution during recrystallization simulated using a hybrid...
Available to PurchasePublished: 01 January 2005
Fig. 10 Microstructural evolution during recrystallization simulated using a hybrid Monte Carlo-Potts cellular automaton model; the white grains are recrystallized. Source: Ref 23
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Image
Simulated (upper row) and experimental (lower row) microstructures of atomi...
Available to PurchasePublished: 01 December 2004
Fig. 8 Simulated (upper row) and experimental (lower row) microstructures of atomized Al-10Cu (mass%) droplets with various droplet diameters: (a) 40 μm, (b) 100 μm, (c) 200 μm, and (d) 100 μm. Here (a), (b), and (c) indicate the microstructures shown in two-dimensional cross section and three
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Image
Microstructures of an Al-7Si (mass%) alloy. (a) Simulation ( Ref 18 ) and (...
Available to PurchasePublished: 01 December 2004
Fig. 11 Microstructures of an Al-7Si (mass%) alloy. (a) Simulation ( Ref 18 ) and (b) experiment ( Ref 19 )
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Image
Simulated microstructure. (a) Columnar cellular dendritic morphology. (b) E...
Available to PurchasePublished: 01 December 2004
Fig. 12 Simulated microstructure. (a) Columnar cellular dendritic morphology. (b) Equiaxed dendritic morphology. (c) Columnar-to-equiaxed transition formation in unidirectional solidification of IN 718-5, a nickel-base superalloy with 5 wt% Nb. Source: Ref 21
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