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cellular automaton models

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Series: ASM Handbook
Volume: 22A
Publisher: ASM International
Published: 01 December 2009
DOI: 10.31399/asm.hb.v22a.a0005432
EISBN: 978-1-62708-196-2
... in AA1050. (a) Cube class. (b) Random class. (c) Rolling class. (d) All classes combined. Source: Ref 29 with permission from Elsevier Fig. 4 The cellular automaton finite-element (CAFÉ) model of hot rolling of steel. (a) Slab exiting the rolling gap after it has been rolled at 30% reduction...
Series: ASM Handbook
Volume: 9
Publisher: ASM International
Published: 01 December 2004
DOI: 10.31399/asm.hb.v09.a0003729
EISBN: 978-1-62708-177-1
... Carlo models, and cellular automaton models. References References 1. Stefanescu D.M. , Proc. Seventh Asian Foundry Congress , Pan Y.N. et al. , Ed., The Chinese Foundrymen's Association , Taipei, Taiwan , 2001 , p 13 – 24 2. Stefanescu D.M. , Science...
Series: ASM Handbook
Volume: 1A
Publisher: ASM International
Published: 31 August 2017
DOI: 10.31399/asm.hb.v01a.a0006314
EISBN: 978-1-62708-179-5
.... , Kapturkiewicz W. , and Górny M. , Cellular Automaton Modelling of Ductile Iron Microstructure in the Thin Wall Casting , 13th International Conference on Modeling of Casting , June 2012 , Welding and Advanced Solidification Processes, June 2012, (Schladming), IOP Conf. Series: Mater. Sci. Eng...
Book: Casting
Series: ASM Handbook
Volume: 15
Publisher: ASM International
Published: 01 December 2008
DOI: 10.31399/asm.hb.v15.a0005236
EISBN: 978-1-62708-187-0
... the principles and applications of the phase field method and the cellular automaton method for modeling the direct evolution of structure at the intermediate length scales, where transport phenomena govern the spatial and temporal evolution of the structure that involves nucleation and growth. casting...
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 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: 22B
Publisher: ASM International
Published: 01 November 2010
DOI: 10.31399/asm.hb.v22b.a0005511
EISBN: 978-1-62708-197-9
... for the prediction of liquation cracking of aluminum welds, with the classic nucleation/growth theory for the simulation of precipitation kinetics of nickel alloys, with the phase-field model for the study of microstructural evolution of a diffusion couple, and with the microscopic and cellular automaton model...
Series: ASM Handbook
Volume: 22B
Publisher: ASM International
Published: 01 November 2010
DOI: 10.31399/asm.hb.v22b.a0005522
EISBN: 978-1-62708-197-9
... Melt , J. Alloy. Compd. , Vol 352 , 2003 , p 197 – 209 12. Guillemot G. , Gandin Ch.-A. , and Bellet M. , Interaction between Single Grain Solidification and Macrosegregation: Application of a Cellular Automaton—Finite Element Model , J. Cryst. Growth , Vol 303 , 2007 , p...
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
... development for primary recrystallization simulated using a three-dimensional cellular automaton. Source: Ref 22 Fig. 10 Microstructural evolution during recrystallization simulated using a hybrid Monte Carlo-Potts cellular automaton model; the white grains are recrystallized. Source: Ref 23...
Series: ASM Handbook
Volume: 22B
Publisher: ASM International
Published: 01 November 2010
DOI: 10.31399/asm.hb.v22b.a0005501
EISBN: 978-1-62708-197-9
...-Dimensional Cellular Automaton-Finite Element Model for the Prediction of Solidification Grain Structures , Metall. Mater. Trans. A , Vol 30 , 1999 , p 3153 – 3165 41. Takatani H. , Gandin Ch.-A. , and Rappaz M. , EBSD Characterization and Modelling of Columnar Dendritic Grains...
Series: ASM Handbook
Volume: 14A
Publisher: ASM International
Published: 01 January 2005
DOI: 10.31399/asm.hb.v14a.a0009002
EISBN: 978-1-62708-185-6
... of texture evolution and grain growth. In addition, in certain cases, n was shown to reach levels as high as 6. Cellular automata (also sometimes referred to as cellular automaton) is a numerical procedure used to model a number of metallurgical processes based on nucleation and growth or growth alone...
Series: ASM Handbook
Volume: 1A
Publisher: ASM International
Published: 31 August 2017
DOI: 10.31399/asm.hb.v01a.a0006327
EISBN: 978-1-62708-179-5
... , Gurgul D. , Kapturkiewicz W. , and Górny M. , Cellular Automaton Modelling of Ductile Iron Microstructure in the Thin Wall Casting , MCWASP XIII: International Conference on Modeling of Casting, Welding and Advanced Solidification Processes , IOP Conf. Series: Materials Science...
Series: ASM Handbook
Volume: 22B
Publisher: ASM International
Published: 01 November 2010
DOI: 10.31399/asm.hb.v22b.a0005521
EISBN: 978-1-62708-197-9
... is not done for computational time reasons. The main drawback of such an approach is the difficulty of dealing with the scale of cast parts. For this reason, alternative methods have been developed. Direct modeling of the grain structure is presented using a cellular automaton approach. The objective...
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
... on the general formulation of models for microstructure evolution is contained in the articles “Models of Recrystallization,”  “Cellular Automaton Models of Recrystallization,”  “Monte Carlo Models for Grain Growth and Recrystallization,” and “Network and Vertex Models for Grain Growth” in this Volume...
Series: ASM Handbook
Volume: 22A
Publisher: ASM International
Published: 01 December 2009
DOI: 10.31399/asm.hb.v22a.a0005425
EISBN: 978-1-62708-196-2
... of mechanism-based models, such as those designed to predict phase equilibria (e.g., Calphad), recrystallization and grain growth (Monte Carlo and cellular-automaton techniques), and precipitation and solidification problems (e.g., phase-field methods). The successful implementation of these newer techniques...
Series: ASM Handbook
Volume: 22B
Publisher: ASM International
Published: 01 November 2010
DOI: 10.31399/asm.hb.v22b.a0005518
EISBN: 978-1-62708-197-9
... solidified superalloy turbine blade simulated with the cellular automaton method. The <100> pole figures are displayed for various cross sections perpendicular to the main blade axis. Source: Ref 26 Recently, the selection of grains during columnar solidification was also addressed...
Series: ASM Handbook
Volume: 22B
Publisher: ASM International
Published: 01 November 2010
DOI: 10.31399/asm.hb.v22b.a0005520
EISBN: 978-1-62708-197-9
... Processes , Conf. Model. Cast. Weld. Adv. Solid. Proc. VI , March 21–26, 1993 ( Palm Coast, FL ), TMS, 1993 77. Gandin Ch.-A. and Rappaz M. , A 3D Cellular Automaton Algorithm for the Prediction of Dendritic Grain Growth , Acta Mater. , Vol 45 ( No. 5 ), 1997 , p 2187 – 2195...
Series: ASM Handbook
Volume: 14A
Publisher: ASM International
Published: 01 January 2005
DOI: 10.31399/asm.hb.v14a.a0003971
EISBN: 978-1-62708-185-6
... and temperature transients. In addition, the models can provide insight into the source of observed deviations from classical Avrami behavior during recrystallization or nonparabolic grain growth (e.g., Fig. 5 ). Two principal types of mechanism-based approaches are those based on cellular automaton (primarily...
Series: ASM Handbook
Volume: 22A
Publisher: ASM International
Published: 01 December 2009
DOI: 10.31399/asm.hb.v22a.a0005428
EISBN: 978-1-62708-196-2
... 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...
Series: ASM Handbook
Volume: 22A
Publisher: ASM International
Published: 01 December 2009
DOI: 10.31399/asm.hb.v22a.a0005401
EISBN: 978-1-62708-196-2
... Cellular Automaton Approach,” Comp. Mater. Sci. , 2002 , Vol 23 , pp. 209 – 218 . 36. Ding R. and Guo Z.X. , “Microstructural Evolution of a Ti-6Al-4V Alloy during Beta-Phase Processing: Experimental and Simulative Investigations,” Mater. Sci. Eng. A , 2004 , Vol A365 , pp. 172...
Series: ASM Handbook
Volume: 22B
Publisher: ASM International
Published: 01 November 2010
DOI: 10.31399/asm.hb.v22b.a0005510
EISBN: 978-1-62708-197-9
.... and Zhou L. , A Cellular Automaton Approach to Simulation of Grain Structure Development in Electroslag Casting , Acta Metall. Sin. (Engl. Lett.) , Vol 13 ( No. 2 ), 2000 , p 794 – 799 73. Nastac L. , Sundarraj S. , and Yu K.O. , Stochastic Modeling of Solidification...