1-20 of 66 Search Results for

Monte Carlo model

Follow your search
Access your saved searches in your account

Would you like to receive an alert when new items match your search?
Close Modal
Sort by
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
... of lattice and the neighbor co-ordination used in the Potts model. (a) Two-dimensional (2-D) square lattice. (b) 2-D triangular lattice. (c) Three-dimensional simple cubic lattice Fig. 5 Relationship between boundary energy and node angle. (a) Continuum system. (b) Monte Carlo Potts model. Each...
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
... of Casting, Welding and Advanced Solidification Processes X , Stefanescu D.M. et al. , Ed., TMS , 2003 , p 75 – 82 Standard Transport Models Phase-Field Models Monte Carlo (MC) Models Cellular Automaton (CA) Models Standard transport models can predict the length scale...
Series: ASM Handbook Archive
Volume: 11
Publisher: ASM International
Published: 01 January 2002
DOI: 10.31399/asm.hb.v11.a0003514
EISBN: 978-1-62708-180-1
... Applications: material strengths (fracture), wear out (bearings, pumps) Uniform Uniform The PDF is flat (even distribution of probability). Symmetric Bounded on both sides Applications: used to generate random numbers in Monte Carlo; used to model a random variable when nothing can...
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
...” are energy-level distributions used in Fig. 9 . MU, model lattice units. Source: Ref 34 Fig. 9 Monte Carlo simulation predictions of the effect of initial stored-energy distribution on recrystallization, assuming randomly oriented nuclei. (a) Recrystallized fraction X . (b) Corresponding Avrami...
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: 22A
Publisher: ASM International
Published: 01 December 2009
DOI: 10.31399/asm.hb.v22a.a0005459
EISBN: 978-1-62708-196-2
... of Sommitsch et al Model of Montheillet and Thomas Recrystallization Mechanisms Effect of Stacking-Fault Energy on Dynamic Recrystallization Effect of Process Variables on Dynamic Recrystallization Discrete Topological Models: Cellular Automata Discrete Topological Models: Monte-Carlo...
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
...). Source: Ref 11 Fig. 8 A series of snapshots during a two-dimensional grain-growth simulation using the Monte Carlo-Potts model. The system size is 400 by 400 with periodic boundary conditions and isotropic boundary energies and mobilities. Source: Ref 20 Fig. 9 Microstructural...
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
...) stress-strain curves at various strain rates. Source: Ref 29 Fig. 12 Monte Carlo (3D) model predictions of (a, b, c) grain structure (2D sections after 1000 MC steps) and (d) grain-growth behavior for materials with various starting textures and assumed grain-boundary properties. (a) Case...
Series: ASM Handbook
Volume: 14A
Publisher: ASM International
Published: 01 January 2005
DOI: 10.31399/asm.hb.v14a.a0004003
EISBN: 978-1-62708-185-6
... ). Models have also been developed to predict microstructures in titanium alloys. Phenomenological and diffusion-based models for the growth of primary alpha phase during final heat treatment have been developed and utilized for industrial applications ( Ref 46 , 47 ). Furthermore, Monte Carlo models...
Series: ASM Handbook
Volume: 22B
Publisher: ASM International
Published: 01 November 2010
DOI: 10.31399/asm.hb.v22b.a0005534
EISBN: 978-1-62708-197-9
... ( Ref 38 ). Additional recommendations for experimental designs for use in computer-based experimentation are given here. Monte Carlo Sampling Space-Filling Designs Bayesian Approach Response-Surface Method Kriging Kernels Neural Networks Multiple Surrogates When a model...
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
... mobility of boundary junctions on grain growth. Various models have been used for the simulation of grain-boundary migration and related phenomena, in particular, grain growth and recrystallization, notably Monte Carlo ( Ref 1 , Ref 2 , Ref 3 , Ref 4 ), phase field ( Ref 5 , 6 ), and network models...
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
...-based models still remain, however, largely because of the dearth of reliable material-property data. Fig. 5 Monte Carlo (three-dimensional) model predictions of (a, b, and c) grain structure (two-dimensional) sections after 1000 Monte-Carlo Steps and (d) grain-growth behavior for materials...
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
... that distinguish CA simulations (and other representational simulations such as Monte Carlo simulations) from mean field analytical models and models employing a homogeneous effective medium. This article examines how CA can be applied to the simulation of static and dynamic recrystallization. It describes...
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
..., combining a macroscale finite-element model (FEM) and a ballistic transport and reaction model at the feature scale. A third FEM mesoscale model is used to link both scales. Source: Ref 186 . (c) Monte Carlo simulation of sputtered-aluminum deposition on a 0.025 mm trench. Source: Ref 159 . (d) Molecular...
Series: ASM Handbook
Volume: 22A
Publisher: ASM International
Published: 01 December 2009
DOI: 10.31399/asm.hb.v22a.a0005410
EISBN: 978-1-62708-196-2
... — From Algorithms to Applications , Academic Press , San Diego , 2001 67. Martin G. and Soisson F. , Kinetic Monte Carlo Method to Model Diffusion Controlled Phase Transformations in the Solid State , Handbook of Materials Modeling , Yip S. , Ed., pp. 2223 – 2248...
Series: ASM Handbook
Volume: 19
Publisher: ASM International
Published: 01 January 1996
DOI: 10.31399/asm.hb.v19.a0002369
EISBN: 978-1-62708-193-1
...., Monte Carlo). Knowledge of probability and statistics permits the “house” to put large quantities of capital at risk (on the gaming tables) by creating games with odds only slightly in their favor. Although gamblers win almost half the time, on average the house will win. One of the paradigms...
Series: ASM Handbook
Volume: 22B
Publisher: ASM International
Published: 01 November 2010
DOI: 10.31399/asm.hb.v22b.a0005505
EISBN: 978-1-62708-197-9
.... Automat. Des. , Vol 110 ( No. 3 ), 1988 , p 324 – 329 10.1115/1.3267465 31. Hammersley J.M. and Handscomb D.C. , Monte Carlo Methods , Chapman and Hall , London , 1964 32. Saliby E. , Descriptive Sampling: A Better Approach to Monte Carlo Simulation , J. Oper...
Series: ASM Handbook
Volume: 6A
Publisher: ASM International
Published: 31 October 2011
DOI: 10.31399/asm.hb.v06a.a0005639
EISBN: 978-1-62708-174-0
... , 2003 , p 61 – 98 26. Gauvin R. , Drouin D. , and Couture A.R. , Casino v2.42, www.gel.usherbrooke.ca/casino/ 27. Joy D.C. , Monte Carlo Modeling for Electron Microscopy and Microanalysis , Oxford University Press , New York , 1995 , p 82 28. Elmer J.W...
Series: ASM Handbook
Volume: 10
Publisher: ASM International
Published: 15 December 2019
DOI: 10.31399/asm.hb.v10.a0006638
EISBN: 978-1-62708-213-6
...-family, linear intensity scale Fig. 3 Measured EDS x-ray spectrum of gold at E 0 = 20 keV: upper, 0–15 keV with logarithmic intensity scale; lower left, Au N-family and M-family; lower right, Au L-family, linear intensity scale Fig. 5 Monte Carlo simulation of interaction volume...
Series: ASM Handbook
Volume: 10
Publisher: ASM International
Published: 15 December 2019
DOI: 10.31399/asm.hb.v10.a0006637
EISBN: 978-1-62708-213-6
... to show crystallographic information. Various codes have been developed to simulate RBS and other ion beam analysis spectra. The codes can be roughly divided into two major approaches: the Monte Carlo approach and the analytical approach. Regardless of their detail approaches, codes must consider...