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Abstract

Kanapy is a python package for generating and processing complex three-dimensional (3D) synthetic microstructures. Various dual-phase and polycrystalline microstructures can be generated based on statistical descriptors of grain geometry, given as distributions of grain size and aspect ratio of grains, and of crystallographic texture, provided in form of orientation distribution functions (ODF) and misorientation distribution functions (MDF). For each phase in the material, an individual set of microstructure descriptors can be generated. The microstructure descriptors can be extracted from experimental data by analyzing EBSD maps in a highly automized procedure. In this way, representative microstructure models in 3D can be generated from analyzing 2D surface data. Features of Kanapy include analysis of polycrystalline and dual-phase EBSD maps, reconstruction of phase volume fractions and geometrical distributions, generation of grains with equiaxed, elongated or flat shapes and reconstruction of crystallographic textures for arbitrary numbers of grains. The microstructures are primarily represented in form of voxels, but it is also possible to generate space-filling polyhedral hulls for the grains. Furthermore, Kanapy allows for the automated generation of finite-element models for property prediction. The paper will also demonstrate that the description of microstructures in form of voxel data sets is a simple, yet powerful and flexible format for data exchange between different numerical tools and experimental devices, which can potentially be used to generate FAIR microstructure data repositories.