This $399,997 Project Grant awarded by the National Science Foundation's Engineering program (CFDA 47.041) will enable researchers at Kansas State University to investigate condensation, frost, and ice formation in microgravity and gravity environments. The key objectives are to: 1) Use machine learning to quantify droplet growth, coalescence, and heat/mass transfer during condensation, 2) Examine freezing front propagation and develop mechanistic models to predict frost formation, and 3) Characterize ice crystal growth and factors impacting dendritic formations. This research aims to provide fundamental insights into these processes and enable the development of optimized surface designs to control ice formation, which has broad applications in industries impacted by frost and icing such as aviation, HVAC, and agriculture. The project will also share results with the public through a local science museum and summer camps for middle/high school girls.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $400.0k | 8/9/24 |