group
What campus are you from?
Daytona Beach
Authors' Class Standing
Kristofer McDaniel, Freshman Jillian Yates, Freshman Blake Diamond, Freshman Robert Durham, Junior Anastasia Meremianin, Freshman Nathan Dube, Freshman
Lead Presenter's Name
Kristofer McDaniel
Faculty Mentor Name
Claudia Ehringer Lucas
Abstract
Aeolus 6 – Tornado Prediction System Tornadoes in the US are becoming stronger and forming farther northeast, threatening cities that were previously unaffected. The response to this growing problem is Aeolus, a hydrogen-powered, unmanned aerial vehicle (UAV) that is designed to fly into supercells and collect data with a multitude of sensors, to predict tornado paths more accurately, and send out evacuation warnings earlier. Aeolus will have eight sensors on board, including Black Swift Technologies' 3D multi-hole probe, VectorNav 200/300, IMU Nav. 200, Pixhawk GPS, and MLite 9210 Data Logger. These sensors will collect data on wind speed, pressure, and temperature around the aircraft, which is sent to an algorithm to process and predict the path of the expected tornado. This information will be used to send out alerts sooner. Looking at the aircraft design, it features a canard and delta wing configuration with a wingspan of 3.5 meters. The fuselage will be constructed with an inner frame and outer panels made of carbon fiber reinforced polymer to withstand extreme conditions. It will also have reinforced leading edges for increased hail protection, ensuring stability in winds up to 290 km/h. With it being powered by a hydrogen fuel cell system, the UAV will be capable of a 30-minute flight at a cruise velocity of 290 km/h, all from a motor capable of 100 N of thrust. This UAV will also be designed around a truck launch system with rocket-assisted takeoff (RATO) and land on skids, ready for recovery and reuse. By using this drone, we can save lives with early and more accurate evacuation warnings and get first responders on the ground to assist with evacuation sooner.
Did this research project receive funding support from the Office of Undergraduate Research.
No
Aeolus - Hydrogen Fueled UAV
Aeolus 6 – Tornado Prediction System Tornadoes in the US are becoming stronger and forming farther northeast, threatening cities that were previously unaffected. The response to this growing problem is Aeolus, a hydrogen-powered, unmanned aerial vehicle (UAV) that is designed to fly into supercells and collect data with a multitude of sensors, to predict tornado paths more accurately, and send out evacuation warnings earlier. Aeolus will have eight sensors on board, including Black Swift Technologies' 3D multi-hole probe, VectorNav 200/300, IMU Nav. 200, Pixhawk GPS, and MLite 9210 Data Logger. These sensors will collect data on wind speed, pressure, and temperature around the aircraft, which is sent to an algorithm to process and predict the path of the expected tornado. This information will be used to send out alerts sooner. Looking at the aircraft design, it features a canard and delta wing configuration with a wingspan of 3.5 meters. The fuselage will be constructed with an inner frame and outer panels made of carbon fiber reinforced polymer to withstand extreme conditions. It will also have reinforced leading edges for increased hail protection, ensuring stability in winds up to 290 km/h. With it being powered by a hydrogen fuel cell system, the UAV will be capable of a 30-minute flight at a cruise velocity of 290 km/h, all from a motor capable of 100 N of thrust. This UAV will also be designed around a truck launch system with rocket-assisted takeoff (RATO) and land on skids, ready for recovery and reuse. By using this drone, we can save lives with early and more accurate evacuation warnings and get first responders on the ground to assist with evacuation sooner.