Modelling Material Microstructure Using the Perlin Noise Function

Abstract

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 R3 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.

Simulation of Laser Profilometer Measurements in the Presence of Speckle Using Perlin Noise

“…They simulate 2D color images with a wide range of possible rusted textures, using the Perlin Noise to simulate only the visual aspect of the surface. Other related works are the one in [15], where the authors use Perlin noise to model the material micro-structure, or the one in [16], which proposes a method to enhance the photogrammetric 3D reconstruction performance of featureless surfaces using noise-function-based patterns. In this work, Perlin noise is one of the noise functions used.…”