Laguerre tessellations and polycrystalline microstructures: A fast algorithm for generating grains of given volumes

TL;DR

This paper introduces a novel, fast algorithm based on computational geometry and optimal transport for generating Laguerre diagrams with specified cell volumes, useful in microstructure modeling and fitting experimental data.

Contribution

The paper presents a new, efficient algorithm for creating Laguerre diagrams with prescribed cell volumes, combining computational geometry and optimal transport, applicable to microstructure modeling.

Findings

Able to generate RVEs with up to 20,000 grains in 3D in minutes

Achieves volume percentage errors below 1%

Successfully fits Laguerre diagrams to experimental EBSD data

Abstract

We present a fast algorithm for generating Laguerre diagrams with cells of given volumes, which can be used for creating RVEs of polycrystalline materials for computational homogenisation, or for fitting Laguerre diagrams to EBSD or XRD measurements of metals. Given a list of desired cell volumes, we solve a convex optimisation problem to find a Laguerre diagram with cells of these volumes, up to any prescribed tolerance. The algorithm is built on tools from computational geometry and optimal transport theory which, as far as we are aware, have not been applied to microstructure modelling before. We illustrate the speed and accuracy of the algorithm by generating RVEs with user-defined volume distributions with up to 20,000 grains in 3D. We can achieve volume percentage errors of less than 1% in the order of minutes on a standard desktop PC. We also give examples of polydisperse microstructures with bands, clusters and size gradients, and of fitting a Laguerre diagram to 3D EBSD measurements of an IF steel.