A Generalized Mistuning Model for Bladed Disk Systems
TS-070971 — The Need
Modern gas turbines and compressors rely on bladed disks, which are highly sensitive to mistuning caused by manufacturing tolerances, wear, or damage. Existing modeling tools are fragmented, complex, and often limited to specific mistuning types. Industry will greatly benefit from a unified…
- College: College of Engineering (COE)
- Inventors: D'Souza, Kiran; Krizak, Troy
- Licensing Officer: Giles, David
Broadband Piezoelectric Energy Harvester with Adaptive Frequency Tuning
TS-070970 — The Need
Many vibration-based energy harvesting systems are limited by narrow operational frequency bands, making them inefficient for environments where excitation frequencies drift—such as in bridges, machinery, or vehicles. Current solutions often sacrifice energy density to broaden bandwid…
- College: College of Engineering (COE)
- Inventors: Guan, Yuqin; D'Souza, Kiran
- Licensing Officer: Giles, David
Novel Deep Learning Model for Reconnaissance of Infrastructure on Drones
TS-063007 — The Need
In disaster-stricken areas, timely and accurate reconnaissance is paramount for effective response and recovery efforts. Traditional methods of assessing damage to critical infrastructure, such as power distribution poles, often involve time-consuming manual inspections, leading to delays …
- College: College of Engineering (COE)
- Inventors: Shafieezadeh, Abdollah; Bagheri Jeddi, Ashkan
- Licensing Officer: Giles, David