Analysis
Aerospace and Defense
Aerospace and Defense Design, Analysis and Testing
Our backgrounds include many years’ experience designing, analyzing and testing aerospace and defense – related products. Both of these environments demand that structural, electrical and mechanical systems perform under extreme limits of temperature, pressure, vibration, and shock, and do so reliably.
- Tomahawk cruise missile
- Tomahawk nuclear-hardened launch system
- SADARM – Armor-piercing antitank submunition. Battlefield-based autonomous mortar system and gun launched smart projectile systems
- STAFF – Autonomous anti-aircraft tangential-firing explosively–formed projectile system
- Various aircraft-based guided and unguided weapons systems
- Ice detectors
- Air speed sensors
- Air temperature sensors (TAT)
- Angle of attack (AOA) probes
- Multi-function probes
- Engine speed sensors
- Engine temperature sensors
- Helicopter subsystems
Aerospace and Defense Corporations We Have Worked With:
- Airbus
- Boeing
- Lockheed
- General Dynamics
- General Electric
- Pratt & Whitney
- Rolls-Royce
- Honeywell
- Alliant Techsystems
- Gulfstream
- Sikorsky
Wind Tunnel and Ballistic Range Testing
- Designed, analyzed and tested subsonic projectile utilizing CFD that resulted in stable ballistic flight. Analysis followed up with live firing tests.
- Designed a wind tunnel test that accurately simulated anomolus projectile free flight behavior that would have resulted in complete system failure if problem left unaddressed.
- Designed a safe data capture method that allowed down bore viewing of a live ballistic test.
- Greatly simplified a submunition system design following live firing and subsequent trajectory analysis.
Analysis
- Combined aerodynamic test data from NACA and NASA archives with current analysis needs in order to dramatically reduce structural and thermal analysis time.
- Analytically constructed spring mass damper system that accurately reflected real-world performance.
- Combined stress analysis results with fatigue data to accurately predict part service life.