DTIC ADA451012: Analysis of Fuel Consumption for an Aircraft Deploy... | |
by Defense Technical Information Center | |
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The purpose of the research has been to derive an | |
algorithm that finds optimal aerial refueling segments | |
(non-instantaneous) for a single aircraft deployment | |
while also accounting for atmospheric winds. There are | |
two decision variables: (1) Where to locate the refueling | |
segments? (2) How much fuel to off load at each refueling | |
segment? Later in the dissertation, a third decision | |
variable is explored: How much fuel to load onto the | |
aerial refueling aircraft? In previous research, the | |
problem of having a single aircraft deployment with one | |
instantaneous aerial refueling has been explored and | |
solved. This paper piggybacks on that research and | |
extends it. The first step (Problem P1) is deriving an | |
algorithm that finds the optimal aerial refueling points | |
for a single aircraft deployment with multiple | |
instantaneous aerial refuelings. In the next step | |
(Problem P2), one assumes aerial refueling is not | |
instantaneous (in an effort to make the problem and | |
solution more realistic), but requires some time frame | |
depending on an off load rate. In problem (P2), optimal | |
refueling segments are found (versus optimal refueling | |
points). In the last problem (P3), one looks at a very | |
similar algorithm that factors the winds aloft into the | |
minimization algorithm. Finally, this paper looks at | |
three distinct deployment scenarios with two serial | |
refuelings required. All of the scenarios were first | |
planned by the U.S. Air Force and the results given to | |
the author. Potential fuel and cost savings associated | |
with using the aforementioned algorithms instead of | |
current methods are than analyzed. | |
Date Published: 2018-06-03 22:43:41 | |
Identifier: DTIC_ADA451012 | |
Item Size: 28071116 | |
Language: english | |
Media Type: texts | |
# Topics | |
DTIC Archive; Bush, Brett A ; AIR FOR... | |
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dticarchive | |
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# Uploaded by | |
@chris85 | |
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