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contributor authorDöring, Felix
contributor authorStaudacher, Stephan
contributor authorKoch, Christian
contributor authorWeißschuh, Matthias
date accessioned2017-11-25T07:19:51Z
date available2017-11-25T07:19:51Z
date copyright2017/24/1
date issued2017
identifier issn0889-504X
identifier otherturbo_139_05_051003.pdf
identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4236055
description abstractAirborne particles ingested in aircraft engines deposit on compressor blading and end walls. Aerodynamic surfaces degrade on a microscopic and macroscopic scale. Blade row, compressor, and engine performance deteriorate. Optimization of maintenance scheduling to mitigate these effects requires modeling of the deterioration process. This work provides a deterioration model on blade row level and the experimental validation of this model in a newly designed deposition test rig. When reviewing previously published work, a clear focus on deposition effects in industrial gas turbines becomes evident. The present work focuses on quantifying magnitudes and timescales of deposition effects in aircraft engines and the adaptation of the generalized Kern and Seaton deposition model for application in axial compressor blade rows. The test rig's cascade was designed to be representative of aircraft engine compressor blading. The cascade was exposed to an accelerated deposition process. Reproducible deposition patterns were identified. Results showed an asymptotic progression of blade row performance deterioration. A significant increase in total pressure loss and decrease in static pressure rise were measured. Application of the validated model using existing particle concentration and flight cycle data showed that more than 95% of the performance deterioration due to deposition occurs within the first 1000 flight cycles.
publisherThe American Society of Mechanical Engineers (ASME)
titleModeling Particle Deposition Effects in Aircraft Engine Compressors
typeJournal Paper
journal volume139
journal issue5
journal titleJournal of Turbomachinery
identifier doi10.1115/1.4035072
journal fristpage51003
journal lastpage051003-10
treeJournal of Turbomachinery:;2017:;volume( 139 ):;issue: 005
contenttypeFulltext


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