GOALI: Self-propelling robots for the monitoring and data-driven modeling of bulk granular — NSF Award to Regents of the Universit
This project addresses the challenge of monitoring and predicting the behavior of granular materials, such as grains and pellets, that are processed in large volumes across the chemical, agricultural, and mining industries. The mechanical behavior of these materials in industrial operations is highly unpredictable due
| Award title | GOALI: Self-propelling robots for the monitoring and data-driven modeling of bulk granular |
|---|---|
| Award ID | 2526568 |
| Awardee | Regents of the University of Michigan - Ann Arbor |
| City | ANN ARBOR |
| State | MI |
| Amount obligated | $508,560 |
| Principal investigator | Hongyi Xiao |
| Program | PMP-Particul&MultiphaseProcess |
| Start date | 09/01/2025 |
| Abstract | This project addresses the challenge of monitoring and predicting the behavior of granular materials, such as grains and pellets, that are processed in large volumes across the chemical, agricultural, and mining industries. The mechanical behavior of these materials in industrial operations is highly unpredictable due to external factors such as temperature and humidity, and internal factors such as particle degradation and fracture. Obtaining data is challenging in large industrial systems beca |
| Source | NSF Awards |
$799/mo
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