Solution of Dendritic Growth in Steel by the Novel Point Automata Method

Lorbiecka, Agnieszka Zuzanna; Šarler, Božidar

doi:10.1088/1757-899x/27/1/012057

Cited by 9 publications

(13 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The results have been arranged and represented in the following way. (Lorbiecka & Šarler, 2010). From this one can conclude that the errors caused by the rotation of the dendrite are at the same order as the errors cussed by different random node arrangements.…”

Section: Simulated Resultsmentioning

confidence: 59%

Point Automata Method for Dendritic Growth

Lorbiecka¹,

Šarler²

2011

Cellular Automata - Innovative Modelling for Science and Engineering

View full text Add to dashboard Cite

Section: Simulated Resultsmentioning

confidence: 59%

Point Automata Method for Dendritic Growth

Lorbiecka¹,

Šarler²

2011

Cellular Automata - Innovative Modelling for Science and Engineering

View full text Add to dashboard Cite

“…In materials science and crystallography, similar problems have been addressed about the dendritic growth with metals and the conditions under which different forms arise. 39,40 We have presented here an approach to create a basic taxonomy of nanoparticles, which can facilitate the management of more complex forms and shapes of nanoparticles by providing the base forms they will include. For instance, nanoparticles can be decomposed in various subforms that are also polygons.…”

Section: Discussionmentioning

confidence: 99%

Towards the taxonomic categorization and recognition of nanoparticle shapes

Muñoz-Mármol

Crespo

Fritts

et al. 2015

Nanomedicine: Nanotechnology, Biology and Medicine

View full text Add to dashboard Cite

“…Point automata (PA) method [24] is used for the simulation of nucleation and grain growth. In the PA method, the randomly distributed points are used instead of square cells like in the classical cellular automata (CA) method [25].…”

Section: Point Automata Methodsmentioning

confidence: 99%

Multi-Physics and Multi-Scale Meshless Simulation System for Direct-Chill Casting of Aluminium Alloys

Šarler

Dobravec

Glavan

et al. 2019

SV-JME

View full text Add to dashboard Cite

This paper represents an overview of the elements of the user-friendly simulation system, developed for computational analysis and optimization of the quality and productivity of the electromagnetically direct-chill cast semi-products from aluminium alloys. The system also allows the computational estimation of the design changes of the casting equipment. To achieve this goal, the electromagnetic and the thermofluid process parameters are coupled to the evolution of Lorentz force, temperature, velocity, concentration, strain and stress fields as well as microstructure evolution. This forms a multi-physics and multi-scale problem of great complexity, which has not been demonstrated before. The macroscopic fluid mechanics, solid mechanics, and electromagnetic solution framework is based on local strong-form meshless formulation, involving the radial basis functions and monomials as trial functions, and local collocation or weighted least squares approximation. It is coupled to the micro-scale by incorporating the point automata solution concept. The entire macro-micro solution concept does not require meshing and space integration. The solution procedure can be easily and efficiently automatically adapted in node redistribution and/or refinement sense, which is of utmost importance when coping with fields exhibiting sharp gradients, which occur in the phase-change problems. The simulation system is coded from scratch in modern Fortran. The elements of the experimental validation of the system and the demonstration of its use for round billet casting in IMPOL Aluminium Industry are shown.

show abstract

Solution of Dendritic Growth in Steel by the Novel Point Automata Method

Cited by 9 publications

References 4 publications

Point Automata Method for Dendritic Growth

Point Automata Method for Dendritic Growth

Towards the taxonomic categorization and recognition of nanoparticle shapes

Multi-Physics and Multi-Scale Meshless Simulation System for Direct-Chill Casting of Aluminium Alloys

Contact Info

Product

Resources

About