Premium
Modelling Material Microstructure Using the Perlin Noise Function
Author(s) -
CondeRodríguez F.,
GarcíaFernández Á.L.,
Torres J.C.
Publication year - 2021
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/cgf.14182
Subject(s) - microstructure , position (finance) , noise (video) , function (biology) , orientation (vector space) , computer science , volume (thermodynamics) , geometry , materials science , mathematics , composite material , computer vision , physics , image (mathematics) , evolutionary biology , biology , finance , quantum mechanics , economics
This paper introduces a precise and easy to use method for defining the microstructure of heterogeneous solids. This method is based on the concept of Heterogeneous Composite Bézier Hyperpatch, and allows to accurately represent the primary material proportions, as well as the size and shape of the material phases. The solid microstructure is modelled using two functions: a material distribution function (to compute the portion of the solid volume occupied by each primary material), and a modified Perlin noise function that determines the shape and size of each primary material phase. With this method, the position and orientation of the solid in the modeling space R 3 does not affect the portion of its volume that is occupied by each primary material, nor the shape and size of the phases. However, the solid microstructure is coherently and automatically modified when the shape of the solid is edited. Regarding continuity, this method allows to define to which extent continuity (both in shape and material distribution) has to be preserved at the junction of the cells that compose the solid. This makes modeling geometrically complex figures very easy.