0000000000354345

AUTHOR

Piet Kok

showing 2 related works from this author

Accurate representation of the distributions of the 3D Poisson-Voronoi typical cell geometrical features

2019

Understanding the intricate and complex materials microstructure and how it is related to materials properties is an important problem in the Materials Science field. For a full comprehension of this relation, it is fundamental to be able to describe the main characteristics of the 3-dimensional microstructure. The most basic model used for approximating steel microstructure is the Poisson-Voronoi diagram. Poisson-Voronoi diagrams have interesting mathematical properties, and they are used as a good model for single-phase materials. In this paper we exploit the scaling property of the underlying Poisson process to derive the distribution of the main geometrical features of the grains for ev…

General Computer SciencePoisson-Voronoi diagramsMonte Carlo methodVoronoiGeneral Physics and Astronomy02 engineering and technology010402 general chemistryPoisson distribution01 natural sciencesParametric representationsymbols.namesakeGeneral Materials ScienceStatistical physicsRepresentation (mathematics)ScalingParametric statisticsDiagramGeneral Chemistry021001 nanoscience & nanotechnology0104 chemical sciencesComputational MathematicsDistribution (mathematics)Mechanics of Materialssymbols0210 nano-technologyVoronoi diagram3D grain sizeComputational Materials Science
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General framework for testing Poisson-Voronoi assumption for real microstructures

2020

Modeling microstructures is an interesting problem not just in Materials Science but also in Mathematics and Statistics. The most basic model for steel microstructure is the Poisson-Voronoi diagram. It has mathematically attractive properties and it has been used in the approximation of single phase steel microstructures. The aim of this paper is to develop methods that can be used to test whether a real steel microstructure can be approximated by such a model. Therefore, a general framework for testing the Poisson-Voronoi assumption based on images of 2D sections of real metals is set out. Following two different approaches, according to the use or not of periodic boundary conditions, thre…

FOS: Computer and information sciencesreal microstructuresPoisson-Voronoi diagrams0211 other engineering and technologies02 engineering and technologyManagement Science and Operations ResearchPoisson distribution01 natural sciencesStatistics - ApplicationsMethodology (stat.ME)Set (abstract data type)010104 statistics & probabilitysymbols.namesakehypothesis testingPeriodic boundary conditionsApplied mathematicsApplications (stat.AP)0101 mathematicsStatistics - MethodologyStatistical hypothesis testing021103 operations researchCumulative distribution functionDiagramscalingGeneral Business Management and Accounting62P30 62-00 62-01 62G10persistence landscapeModeling and SimulationsymbolsTopological data analysiscumulative distribution functionVoronoi diagramApplied Stochastic Models in Business and Industry
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