2018
DOI: 10.1115/1.4041119
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Characterization of an Aircraft Auxiliary Power Unit Test Rig for Cycle Optimization Studies

Abstract: Detailed information of the thermodynamic parameters, system performance, and operating behavior of aircraft auxiliary power units (APU) cycles is rarely available in literature. In order to set up numeric models and study cycle modifications, validation data with well-defined boundary conditions is needed. Thus, the paper introduces an APU test rig based on a Garrett GTCP36-28 with detailed instrumentation, which will be used in a further step as a demonstration platform for cycle modifications. The system is… Show more

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Cited by 4 publications
(2 citation statements)
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“…However, detailed information of the thermodynamic parameters, system performance, and operating behavior of aircraft APU cycles is rarely available in literature. Zanger et al 7 introduced an APU test rig based on a Garrett GTCP36-28 with detailed instrumentation, which would be used in a further step as a demonstration platform for cycle modifications.…”
Section: Introductionmentioning
confidence: 99%
“…However, detailed information of the thermodynamic parameters, system performance, and operating behavior of aircraft APU cycles is rarely available in literature. Zanger et al 7 introduced an APU test rig based on a Garrett GTCP36-28 with detailed instrumentation, which would be used in a further step as a demonstration platform for cycle modifications.…”
Section: Introductionmentioning
confidence: 99%
“…Generally, a diagnostic capability is embedded into the system during the design phase depending on the technologies (hardware, sensors, processing techniques) available at that time. Performance-based monitoring (also called gas-path analysis) is an example of the prevalent approach for a gas turbine's health monitoring or fault detection [1][2][3][4][5][6][7]. However, these methods require the installation of thermodynamic sensors which could be intrusive and may not be feasible if they were not considered during the product's design phase.…”
Section: Introductionmentioning
confidence: 99%