Validation and predictions of coupled finite element and cellular automata model: Influence of the degree of deformation on static recrystallization kinetics case study

AbstractThe developed numerical model of a local nanoindentation test, based on the digital material representation (DMR) concept, has been presented within the paper. First, an efficient algorithm describing the pulsed laser deposition (PLD) process was proposed to realistically recreate the specific morphology of a nanolayered material in an explicit manner. The nanolayered Ti/TiN composite was selected for the investigation. Details of the developed cellular automata model of the PLD process were presented and discussed. Then, the Ti/TiN DMR was incorporated into the finite element software and numerical model of the nanoindentation test was established. Finally, examples of obtained results presenting capabilities of the proposed approach were highlighted.

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Cellular Automata Simulation of Textural Evolution during Primary Static Recrystallization of IF Steel

Materials Science Forum ◽

10.4028/www.scientific.net/msf.702-703.615 ◽

2011 ◽

Vol 702-703 ◽

pp. 615-618

Author(s):

Dong Kyu Kim ◽

K.H. Jung ◽

H.W. Lee ◽

Yong Taek Im

Keyword(s):

Cellular Automata ◽

Static Recrystallization ◽

Grain Morphology ◽

Interstitial Free ◽

If Steel ◽

Probabilistic Cellular Automata ◽

Cellular Automata Model ◽

Textural Evolution ◽

Annealing Texture ◽

Curvature Driven

A two dimensional probabilistic cellular automata model is used to simulate primary static recrystallization of interstitial free (IF) steel. The present study is to investigate the effect of curvature-driven pressure that is induced by protrusions/retrusions of recrystallization fronts on the microstructural and textural evolution during recrystallization. It was found that local interface migration of protrusions/retrusions of recrystallization fronts could significantly affect the kinetics, grain morphology and annealing texture according to the present investigation.

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Developmental structuring of phenotypic variation: A case study with a cellular automata model of ontogeny

Evolution & Development ◽

10.1111/ede.12315 ◽

2019 ◽

Vol 22 (1-2) ◽

pp. 20-34 ◽

Cited By ~ 4

Author(s):

Wim Hordijk ◽

Lee Altenberg

Keyword(s):

Cellular Automata ◽

Phenotypic Variation ◽

Cellular Automata Model

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DEVELOPING A CELLULAR AUTOMATA MODEL FOR SIMULATING RAINFALL-RUNOFF PROCESS (CASE STUDY: BABOL CATCHMENT)

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xlii-4-w18-697-2019 ◽

2019 ◽

Vol XLII-4/W18 ◽

pp. 697-702

Author(s):

N. Mahdizadeh Gharakhanlou ◽

M. S. Mesgari

Keyword(s):

Cellular Automata ◽

Flood Management ◽

Decision Makers ◽

Second Step ◽

Management Decision ◽

Natural Phenomena ◽

Rainfall Runoff ◽

Cellular Automata Model ◽

Ca Model

Abstract. The rainfall-runoff process is one of the central aspects of hydrology. In the rainfall-runoff process, the fast accumulation of rainwater in the catchments and rivers may lead to a flood disaster. To prevent and manage such disasters, it is essential to model and simulate the runoff process. The cellular automata (CA) is a computational model that can represent and simulate complex and dynamic natural phenomena. The main objective of this research is to develop a CA model of the rainfall-runoff process and to use it for simulating and representation of the runoff in the Babol catchment. The study is carried out in two main steps. First, several data manipulation and analyses in ArcGIS 10.3 software are used to prepare the input data of the CA model. In the second step, the CA model is developed and implemented in the NetLogo 6.0.4 platform. The total amount of runoff in each cell during the year 2016 was calculated and presented as the output of the model. A map of the total generated runoff can be an important tool for flood management decision-makers and it can also be used for managing the catchment and assessing the water resources in the study area.

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