Modeling of grain refinement by cellular automata

Svyetlichnyy, Dmytro

doi:10.1016/j.commatsci.2013.04.065

Cited by 32 publications

(47 citation statements)

References 27 publications

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“…The methodology is already used for modelling of solidification, dynamic and static recrystallisation [47], crack propagation, grain refinement and phase transformation [48,49]. This new CA-based model of powder bed generation provides an effective method of generating desirable digital particle Fig.…”

Section: Discussion and Future Workmentioning

confidence: 99%

Powder bed generation in integrated modelling of additive layer manufacturing of orthopaedic implants

Krzyżanowski

Svyetlichnyy

Stevenson

et al. 2016

Int J Adv Manuf Technol

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This paper presents an original model of powder bed generation developed within the frame of an integrated modelling approach for studying the interaction of physical mechanisms in additive layer manufacturing (ALM) of orthopaedic implants. The model is based on cellular automata (CA) approach and describes the relationship between moving particles of different sizes during deposition on a surface in three dimensions. The surface is defined by the horizontal two-dimensional CA on which particles fall and irreversibly stick to a growing deposit. The model allows for consideration of different restructuring cases when particles are allowed to rotate as often as necessary until achievement of a local minimum position. Changes in the packing density of the powder bed have been investigated numerically depending on technological parameters, such as particle size distribution, deposition rate and sequence of powder deposition. The model has been developed with the aim of merging to the finite element (FE)-based integrated model and is applicable to a different ranges of materials including metals and also non-metals.

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Section: Discussion and Future Workmentioning

confidence: 99%

Powder bed generation in integrated modelling of additive layer manufacturing of orthopaedic implants

Krzyżanowski

Svyetlichnyy

Stevenson

et al. 2016

Int J Adv Manuf Technol

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“…It is the size and the physical character of the boundary range that make the key difference in our present model for different scale applications. Other parameters in Equation (2) in the model are already decided by our preliminary work for the study, and the research results have already been published in reference [12] , the value of the parameters are as follows: c l equals 0.2, A=-25.57 kJ/mol, A 1 =99.14 kJ/mol, A 2 =18.30kJ/mol, B 1 =80.33kJ/mol, B 2 =2321.51 kJ/mol, K 1 =2090.16J/mol, K 2 =0.21×10 -13 J·m 2 /mol [12] .…”

Section: Grain Boundary Range Among Grainsmentioning

confidence: 99%

“…The moderate refinement of grains is an effective means to enhance the comprehensive properties of materials, and it is also the most important method to control the microstructure of materials, which has taken a lot of attentions of researchers [1,2] . Dispersively distributed hard particles are usually used to make the grains smaller in matrix structure, due to their pinning force on grain boundaries to prevent the grain growth.…”

Section: Introductionmentioning

confidence: 99%

Effect of Second Phase Particles on Grain Growth for Nanocrystalline AZ31 Mg Alloy by Phase Field Methods

2015

MATEC Web of Conferences

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“…Complex microstructural phenomena and technological processes are modelled on the base of CA. Interaction between solidification and deformation, recrystallization and phase transformation can be considered and modelled by CA [27][28][29].…”

mentioning

confidence: 99%

“…A hierarchical system based on FCA for modelling of microstructural phenomena and technological processes was developed [27]. The basis of this system is FCA, while the top is a set of processes.…”

mentioning

confidence: 99%

Modeling with FCA-Based Model of Microstructure Evolution of MgCa08 Alloy During Drawing of Thin Wire in Heated Die / Modelowanie Za Pomocą FCA Rozwoju Mikrostruktury Stopu MgCa08 Podczas Ciągnienia Cienkiego Drutu W Podgrzewanym Ciagadle

Svyetlichnyy¹,

Kustra²,

Milenin³

2015

Archives of Metallurgy and Materials

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The paper deals with a modeling of manufacturing process of thin wire of MgCa08 alloy used as biocompatible soluble threads for medical application. Some difficulties in material deformation subjected with its hexagonal structure can be solved with accurate establishment of the deformation conditions, especially temperature history of the whole process. In drawing process with heated die, wire is preheated in furnace and then deformed. The only narrow temperature range allows for multi-pass drawing without wire breaking. Diameter below 0.1 mm required for the final product makes very important the consideration of microstructure evolution because grain size is comparable with the wire dimensions. For this reason the problem is considered in the micro scale by using the frontal cellular automata (FCA)-based model. The goals of present work are the development and validation of FCA-base model of microstructure evolution of MgCa0.8 magnesium alloy. To reach this objective, plastometric and relaxation tests of MgCA08 alloy were done on physical simulator GLEEBLE 3800. Results of the experimental studies were used for parameters identification of the hardening-softening model of the material. Then, initial microstructure and its evolution during the drawing passes were simulated with FCA-based model. FCA consider dislocation density and flow stress, hardening and softening including recovery and recrystallization, grain refinement and grain rotation, as well as grain growth. It allows one to obtain structures close to real ones. Two variants of the drawing process with different temperature history were considered. The deformation scheme was the same. Simulation results with following short discussion confirm usefulness of FCA-based model for explanation and selection of rational technological condition of thin wire drawing of MgCa08 alloy.

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Modeling of grain refinement by cellular automata

Cited by 32 publications

References 27 publications

Powder bed generation in integrated modelling of additive layer manufacturing of orthopaedic implants

Powder bed generation in integrated modelling of additive layer manufacturing of orthopaedic implants

Effect of Second Phase Particles on Grain Growth for Nanocrystalline AZ31 Mg Alloy by Phase Field Methods

Modeling with FCA-Based Model of Microstructure Evolution of MgCa08 Alloy During Drawing of Thin Wire in Heated Die / Modelowanie Za Pomocą FCA Rozwoju Mikrostruktury Stopu MgCa08 Podczas Ciągnienia Cienkiego Drutu W Podgrzewanym Ciagadle

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