Wireless Ceramic Sensors for Propulsion Monitoring

AFFILIATION:   Sensatek Propulsion Technology, Inc., Tallahassee, Florida, United States


Track: Advanced Materials
Area: Structural & Multifunctional Materials
Tech Readiness: TRL 4

Tech Brief: Wireless Ceramic Sensors uses advanced materials to detect extreme temperature and pressure in harsh environments, enabling real-time propulsion monitoring. Sensors the size of “tic tacks” are placed in hard to reach areas, transmitting data that quantifies heat, resulting in better cooling technology designs to remove heat, preventing damage.


Value Proposition: We’re making maintenance processes more predictable and reliable in extremely harsh environments, adverting operational risks in Adaptive Versatile Engine Technology (ADVENT), Adaptive Engine Technology Development (AETD), and Joint Strike Fighter Programs. We’ve published data from University of Central Florida, in wirelessly measuring extreme temperature and pressure in real-time using Wireless Passive Ceramic Sensors, designed to prevent damage from hotspots that currently go undetected, withstanding shock. Using additive manufacturing, we achieve lower costs than optic and laser sensors. Combatant Commands such as Air Force Research Laboratory (AFRL) and Naval Air Systems Command (NAVAIR) requires rapid prototyping, design, and fabrication of capabilities to understand fatigue effects of propulsion systems. Our thin-film ceramic sensors are quickly fabricated using thin-films, capable of monitoring propulsion performance in real-time. Our capabilities include Advanced Materials Laboratory for rapid prototyping of ceramic composites using additive manufacturing to print sensors on flexible substrates, provides reliable electronics in mechanically harsh environments for the warfighter. Furthermore, Supersonic Hot Jet Facility is prepared for demonstrating technical feasibility of sensors at 2200F beyond Mach 2.5, and High Performance Computing capability cut costs and time in delivering physics-based modeling and probabilistic methods making maintenance processes more predictable and reliable.


Org Type: Early-stage Startup (Seed)
Booth Number: 112