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Application of Eigenstructure Assignment to the control of powered lift combat aircraftSmith, Phillip Raymond January 1990 (has links)
No description available.
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262 |
Extending the scope of unattended environmental noise monitoringWright, Philip January 1995 (has links)
No description available.
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263 |
The active control of the transmission of soundThomas, Robert Dean January 1992 (has links)
No description available.
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264 |
Machining of aerospace steel alloys with coated carbidesOlajire, Kabiru Ayinde January 1999 (has links)
No description available.
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265 |
Flow prediction for three-dimensional intakes and ducts using viscous-inviscid interaction methodsWrisdale, Ian Edward January 1991 (has links)
No description available.
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266 |
An investigation of aluminium-magnesium-cerium alloy coatings for corrosion protectionSears, Joanne Marie January 2001 (has links)
No description available.
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267 |
Fatigue crack growth in an aluminium-lithium (8090) alloyDodd, A. January 1988 (has links)
No description available.
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268 |
Extended surface flow and heat transfer studiesRobertson, Andrew J. January 1998 (has links)
No description available.
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269 |
An exploration of unmanned aerial vehicles in the Army's future combat systems family of systemsSulewski, Charles A. 12 1900 (has links)
Unmanned aerial vehicles (UAVs) will be a critical part of the U.S. Army's Future Force. The Future Force will be a highly mobile, network enabled family of systems with integrated sensors and precision munitions. The Future Force will rely heavily on UAVs to provide eyes on the battlefield. These eyes will trigger the deployment of precision munitions by other platforms, and possibly by UAVs themselves. To provide insight into how the numbers and capabilities of UAVs affect a Future Force Combined Arms Battalionâ s (CABâ s) ability to secure a Northeast Asia urban objective, a simulation was built and analyzed. 46,440 computational experiments were conducted to assess how varying the opposing force and the numbers, tactics, and capabilities of UAVs affects the CABâ s ability to secure the objective with minimal losses. The primary findings, over the factors and ranges examined, are: UAVs significantly enhance the CABâ s performance; UAV capabilities and their tactics outweigh the number of UAVs flying; battalion level UAVs, especially when armed, are critical in the opening phases of the battle, as they facilitate the rapid attrition of enemy High Pay-off Targets; and, at least one company level and a platoon level UAV enhances dismounts survivability later in the battle.
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Unmanned aerial vehicle survivability the impacts of speed, detectability, altitude, and enemy capabilitiesMcMindes, Kevin L. 09 1900 (has links)
Warfighters are increasingly relying on Unmanned Aerial Vehicle (UAV) systems at all levels of combat operations. As these systems weave further into the fabric of our tactics and doctrine, their loss will seriously diminish combat effectiveness. This makes the survivability of these systems of utmost importance. Using Agent-based modeling and a Nearly Orthogonal Latin Hypercube design of experiment, numerous factors and levels are explored to gain insight into their impact on, and relative importance to, survivability. Factors investigated include UAV speed, stealth, altitude, and sensor range, as well as enemy force sensor ranges, probability of kill, array of forces, and numerical strength. These factors are varied broadly to ensure robust survivability results regardless of the type of threat. The analysis suggests that a speed of at least 135 knts should be required and that increases in survivability remain appreciable up to about 225 knts. The exception to speed's dominance is in the face of extremely high capability enemy assets. In this case, stealth becomes more important than speed alone. However, the interactions indicate that as both speed and stealth increase, speed yields a faster return on overall survivability and that speed mitigates increased enemy capabilities.
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