National Institute of Advanced Industrial Science and Technology (AIST)
Ensuring the Validity of Models: Building Trust in Computational Results

Researcher, Mineral Resources Research Group
Institute for Geo-Resources and Environment
Dr. Yuki Tsunazawa
Utilizing iGRAF in Mineral Processing
Mineral processing known as ore dressing, involves crushing ore obtained from mines and separating valuable minerals from gangue minerals. Many of these processes currently rely on empirical rules. By utilizing particle simulation in mineral processing, the behavior of particles within the equipment can be visualized, leading to the development of efficient processes. We introduced iGRAF, a particle simulation software, which we believed could address our challenges, leading to its implementation.
Seamless Coupling of Particles and Fluids
iGRAF’s strength lies in its ability to calculate the behavior of particles in complex-shaped equipment, a feature unique to iGRAF among other powder simulation software. It enables coupled analysis involving complex interactions between solids, gases, and liquids, which is not readily available in other software.
Furthermore, iGRAF is based on physics models developed in Prof. Sakai’s laboratory and has been published in international scientific journals. The validity of the models ensures confidence in the results and allows users to understand how the calculations are performed.

Simulation of Pot Blender
We had many aspects of particle separation, involving different densities and shapes, that were still reliant on empirical rules. However, visualizing them using iGRAF enabled us to identify separation mechanisms and optimal equipment conditions. Additionally, iGRAF helped us uncover the mixing mechanism of a blending device called a pot blender, and these research findings have been accepted and published in international scientific journals.
In terms of usability, we found iGRAF to be user-friendly even for beginners. It seamlessly handles parameter input, analysis, extraction of necessary data from analysis results files, and processing them to achieve desired outcomes.