Severity estimation and shop visit prediction of civil aircraft engines

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dc.contributor.advisor Singh, R.
dc.contributor.author Hanumanthan, Hariharan
dc.date.accessioned 2012-11-01T09:30:59Z
dc.date.available 2012-11-01T09:30:59Z
dc.date.issued 2009-10
dc.identifier.uri http://dspace.lib.cranfield.ac.uk/handle/1826/7634
dc.description.abstract To sustain in the vibrant field of civil aviation, the aircraft and engine manufacturers are in the pursuit of delivering efficient systems with the best economics. In umpteen scenarios of growing interest, engine maintenance cost due to scheduled maintenance is of importance. The current research is focused on estimation of the maintenance factors, such as severity and shop visit rate to study the operational scenarios and concurrent technologies. The severity, defined as relative engine damage is estimated by blending the aircraft performance, gas turbine performance, gas turbine design and life estimation methods towards transforming the thrust variation into life estimates, reflecting the severity on critical Life Limited Part (LLP) of an aircraft engine. The Shop Visit Rate (SVR) is predicted based on Exhaust Gas Temperature (EGT) margin consumption due to gas turbine performance degradation. The severity studies reveal that Hight Pressure Turbine (HPT) blade and disc are critical, depicting engine severity. Lower thrust engine severity is dominated by cyclic damage (low cycle fatigue) and large thrust engines by steady state damage (creep). The operational factors, take-off derate and Outside Air Temperature (OAT) have more sensitivity on severity of aircraft engines. The use of climb derate, reduces the damage on large thrust engines considerably, especially for three shaft engines. Cooling effectiveness and thermal barrier coating are important technological factors for reducing the severity level. The SVR prediction on lower and large thrust engines, depict the take-off EGT as a source for shop visits, governed by operational parameters such as takeoff derate, OAT, trip length and engine wash. The engine aging curves are represented as Weibull distribution based on severity and SVR. Severity estimation and shop visit prediction methodology, demonstrated through an integrated tool will serve as a decision making element for comparing competitive engines, operational strategies and engine technologies. en_UK
dc.language.iso en en_UK
dc.publisher Cranfield University en_UK
dc.rights ©Cranfield University - 2009. All rights reserved. No part of this publication may be reproduced without the written permission of the copyright holder. en_UK
dc.title Severity estimation and shop visit prediction of civil aircraft engines en_UK
dc.type Thesis or dissertation en_UK
dc.type.qualificationlevel Doctoral en_UK
dc.type.qualificationname PhD en_UK


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