MorseGramVis: A Visualization and Analysis Tool for Segmented Granular Media

Dinesh Rathod

Abstract

Granular materials, such as sand, soil, and powders, are ubiquitous in various fields, including geotechnical engineering, environmental science, and pharmaceuticals. In recent years, there has been increasing interest in understanding the properties and behaviour of granular media, particularly at the microscale. One crucial aspect of granular media is the arrangement and segregation of particles within the material. This can significantly impact the mechanical and transport properties of the material and can be influenced by various factors such as particle size, shape, and composition. Researchers often use computed tomography (CT) scanning techniques to study the mi- crostructure of granular media to acquire high-resolution 3D images of the material. However, manually analyzing and quantifying the microstructure of granular media from these images can take time and effort. To address this issue, we developed a visualization tool to assist researchers in visualizing and quantifying the segmentation and arrangements of granular media from CT-scanned images. The tool utilizes segmentation results from work and allows users to visualize and analyze the microstructure in 3D interactively. Additionally, the tool provides various quantification features, including particle size distribution, particle shape distribution, and segregation analysis. The tool has been tested on various granular media, including sand and steel beads, and has demonstrated the ability to reconstruct the sample to visualize and quantify these materials’ microstructures. This tool will be a valuable resource for researchers studying granular media, as it provides a fast and user-friendly way to analyze and understand the microstructure of these materials.

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