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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
... density CELLULAR AUTOMATA are a subset of so-called finite-state machines and have application in disciplines as diverse as computer-generated imagery of crowd, flock, and swarm behavior through tools to optimize parameters in complex multiparameter models, to the simulation of microstructural...
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
..., Welding and Advanced Solidification Processes VI , 1993 , p 639 – 646 65. Gurgul D. and Burbelko A. , Simulation of Austenite and Graphite Growth in Ductile Iron by Means of Cellular Automata , Arch. Metall. Mater. , Vol 55 , Jan 2010 , p 53 – 60 66. Burbelko A...
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 microstructure evolution. cellular automata dynamic recovery grain growth hot working microstructure evolution microstructure evolution modeling Monte-Carlo techniques plastic flow recrystallization static recovery texture evolution models thermomechanical processing IN...
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
... advantage to reduce the grayness. These involve probabilistic methods such as Monte Carlo-Potts (MC-P) or cellular automata (CA) in which the consequences of using certain selection rules for the evolution of a microstructure can be computed and pictorially represented for comparison with observed...
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
...: Current Status , Recrystallization and Grain Growth , Gottstein G. and Molodov D.A. , Ed., Springer-Verlag , 2001 , p 123 – 134 28. Goetz R.L. and Seetharaman V. , Modeling Dynamic Recrystallization Using Cellular Automata , Scr. Mater. , Vol 38 ( No. 3 ), 1998 , p...
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
...-difference models solidification processes Fluid flow, solidification in solidification processes Nucleation and growth models Plethora of phase transformations, recrystallization, etc. Crystal-plasticity models Deformation-texture evolution Cellular-automata models Recrystallization...
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
Book: Casting
Series: ASM Handbook
Volume: 15
Publisher: ASM International
Published: 01 December 2008
DOI: 10.31399/asm.hb.v15.a0005214
EISBN: 978-1-62708-187-0
... Under Continuous Casting Conditions , MS&T '06: Materials Science and Technology 2006 Conference and Exhibition , 2007 • Raghavan S. , Krane M.J.M. , and Johnson D. , “Different Rule Sets for Cellular Automata Modeling of Peritectic Dendritic Growth,” Modeling of Casting...
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
..., cellular automata (CA) have been developed with the goal of achieving a direct representation of the grain structure only, while still using an indirect approach for the internal structure of the grains ( Ref 25 , Ref 26 , Ref 27 , Ref 28 ). The CA models are described in the article “Modeling of...
Series: ASM Handbook
Volume: 22A
Publisher: ASM International
Published: 01 December 2009
DOI: 10.31399/asm.hb.v22a.a0005422
EISBN: 978-1-62708-196-2
... ( Ref 7 , Ref 8 , Ref 9 , Ref 10 , Ref 11 , Ref 12 , Ref 13 , Ref 14 , Ref 15 , Ref 16 , Ref 17 , Ref 18 , Ref 19 , Ref 20 , Ref 21 , Ref 22 , Ref 23 , Ref 24 ). However, models based on cellular automata ( Ref 25 , 26 ), finite elements ( Ref 27 ), and molecular dynamics ( Ref 28...
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
... Grain Information in Solidification 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...
Series: ASM Handbook
Volume: 20
Publisher: ASM International
Published: 01 January 1997
DOI: 10.31399/asm.hb.v20.a0002482
EISBN: 978-1-62708-194-8
... those observed experimentally. The main drawback of such an approach was the lack of a physical basis. In a more recent investigation ( Ref 4 ), a new approach for modeling grain structure formation during solidification was proposed. Based on a two-dimensional cellular automata technique, the model...
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
... stochastic method is a probabilistic means to predict the nucleation and growth of the grain, including the stochastic distribution of nucleation locations, the stochastic selection of the grain orientation, and so on. The stochastic method includes cellular automata and the phase-field method...
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
... parameters that produce uniform recrystallization ( Ref 33 ). A second approach, which is just emerging, comprises the application of modeling techniques such as the Monte Carlo (MC) and cellular automata (CA) techniques ( Ref 34 , Ref 35 , Ref 36 ). The CA method ( Ref 35 , 36 ) has been applied to treat...
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
.... Janssens K.G.F. , Random Grid, Three Dimensional, Space-Time Coupled Cellular Automata for the Simulation of Recrystallization and Grain Growth , Model. Simul. Mater. Sci. Eng. , Vol 11 ( No. 2 ), 2003 , p 157 – 171 9. Holm E.A. , Srolovitz D.J. , and Cahn J.W...
Series: ASM Handbook
Volume: 22B
Publisher: ASM International
Published: 01 November 2010
DOI: 10.31399/asm.hb.v22b.a0005513
EISBN: 978-1-62708-197-9
... evolution of microstructure during and after solidification can be modeled using methods such as Monte Carlo simulations, cellular automata, and phase-field simulation. The effect of G and R on the process outcome is frequently represented as a processing map, and the simulation results are superimposed...
Series: ASM Handbook
Volume: 9
Publisher: ASM International
Published: 01 December 2004
DOI: 10.31399/asm.hb.v09.a0003744
EISBN: 978-1-62708-177-1
... observed in the recrystallization texture. Growth models employ either a Potts model approach or the recently more popular cellular automata technique. In some cubic metals, it has been observed that the primary recrystallization texture components are related to the deformed structure by a 40° rotation...
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
... titanium alloys, and MeltFlow-ESR ( Ref 51 , 64 , 67 ) for the analysis of the ESR process for superalloys and steels. The results from some of these models have also been used in conjunction with solidification models (largely based on the cellular automata techniques) to predict the growth of the...
Series: ASM Handbook
Volume: 22A
Publisher: ASM International
Published: 01 December 2009
DOI: 10.31399/asm.hb.v22a.a0005434
EISBN: 978-1-62708-196-2
Series: ASM Handbook
Volume: 4B
Publisher: ASM International
Published: 30 September 2014
DOI: 10.31399/asm.hb.v04b.a0005950
EISBN: 978-1-62708-166-5
... transformations have usually been simulated on the microscopic scale by cellular automata and phase field calculations, whereas macroscopic thermomechanical response is simulated by continuum-scale finite-element or finite-difference methods (FEM or FDM) that take into account the extra information provided by...