Verification for Constructing Digital Twin of Powder Tester: Part 2

Abstract

Background and Aims: In contemporary society, rapid digitalization is advancing, expanding IoT platforms in the manufacturing industry. Among these developments, interest in digital twin technology is growing. However, this technology requires advanced computational capabilities, posing significant technical challenges. Particularly in the field of powder technology, it is necessary to accurately consider the complex behavior of particles, making its realization difficult. To address these challenges, we have focused on measuring properties such as the angle of repose and bulk density using the powder property measuring device “Powder Tester”. In collaboration with DENSE Ltd., we have been developing a simulation model that forms the basis of digital twins in powder technology.

Methods and Results: To numerically evaluate the complex behavior of powders, we measured the angle of repose and bulk density using the Powder Tester^TM in collaboration with DENSE Ltd. Based on these measurements, we developed a simulation model applying a coarse-grained model for irregular particles. This model enables practical time analysis in powder simulations, which typically require enormous computational costs. By incorporating these measurements into our model, we were able to simulate the behavior of powders more efficiently. The simulation results showed good agreement with experimental data, validating the model’s accuracy and effectiveness in predicting powder behavior under various conditions. Additionally, we explored different simulation scenarios to assess the model’s robustness and flexibility, further confirming its potential for practical applications in the industry.

Conclusions and Outlooks: The development of this simulation model has demonstrated that the behavior of irregular particles can be analyzed within practical timeframes. This achievement is expected to contribute to advancing digital twin technology in powder technology. Future challenges include further improving this model and applying it to simulate a wider range of powder behaviors, ultimately enhancing the accuracy and efficiency of digital twins in various industrial applications. By continuing this research, we aim to overcome existing limitations and drive innovation in the field of powder technology. Our ongoing efforts will focus on integrating more complex particle interactions and refining the model to handle diverse powder properties, paving the way for more sophisticated digital twin solutions.