Work

Grain2mesh: A Python and cubit mesh generator from unprocessed mesoscale images

Year: 2025

Type: software-paper

Abstract: Predicting bulk behavior from microscale features constitutes a key objective in multiscale modeling research, often involving numerical models composed of finite elements that capture the diversity of constituent phases, shapes, and orientations within the material. The Grain2mesh toolbox allows the user to input unprocessed mesoscopic images for automatic segmentation, pre-processing, quality control, and numerical mesh generation. The numerical mesh generation incorporates Cubit routines to generate robust multi-phase mesh structure for use in computational mechanics solvers. The python classes developed contain detailed documentation and examples to support standard usage and case-specific alternative options.

Source: SoftwareX

DOI: 10.1016/j.softx.2025.102427

Authors: Ryley G. Hill, Keegan S. Davis, Christopher W. Johnson

Institution: Los Alamos National Laboratory

Language: English

Topic: Computational Geometry and Mesh Generation

Subfield: Computer Graphics and Computer-Aided Design

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,200