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Evaluation of Predictive Maintenance Planning using the Example of Turbine Blades

Kremer, Jonas and Sieb, Patrick and Pohya, Ahmad Ali and Wehrspohn, Jennifer (2022) Evaluation of Predictive Maintenance Planning using the Example of Turbine Blades. DLR-Interner Bericht. DLR-IB-MO-HF-2022-109. Master's. University of Applied Sciences Aachen.

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Abstract

The aim of this master thesis is to evaluate the economic and operational impact of predictive planning using the example of turbine blades of business jet engines. The economic evaluation focuses on the Lyfecycle Cashflow Environment (LYFE) developed by Deutsches Zentrum für Luft- und Raumfahrt (DLR). The discrete event simulation is used to record the economic effects of various changes during the product life cycle. Regarding the stated objective, LYFE must be extended to include the operation of business jets and adequate engine wear models. In the first step, the theoretical basics are discussed, which include the BA, engine maintenance and wear models due to environmental influences. After the information has been described, the interfaces between the three theoretical blocks are identified in chapter 3. On the one hand, this serves to create the references between the individual topics and on the other to ensure the interconnections in LYFE. Finally, the modules are to interact with each other in such a way that the operational wear of the engines is determined based on the business jet operation and the engine maintenance measures are triggered accordingly. Chapter 4 explains the verification of the individual submodules and the linked interfaces. For this purpose, the physical assumptions are validated and described using a flight profile as an example. Chapter 5 then evaluates the final use cases of preventive and predictive maintenance. In addition to answering the main question of how the two maintenance concepts compare in terms of their economic potential, the results are evaluated in a further step regarding the uncertainties in the model and operation. The aim is to identify the sensitivities in the model and the impact on the metric of interest. The final chapter concludes the work with a summary and an outlook for future research.

Item URL in elib:https://elib.dlr.de/191831/
Document Type:Monograph (DLR-Interner Bericht, Master's)
Title:Evaluation of Predictive Maintenance Planning using the Example of Turbine Blades
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Kremer, JonasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Sieb, PatrickUNSPECIFIEDhttps://orcid.org/0000-0003-3316-5429UNSPECIFIED
Pohya, Ahmad AliUNSPECIFIEDhttps://orcid.org/0000-0002-2734-3199UNSPECIFIED
Wehrspohn, JenniferUNSPECIFIEDhttps://orcid.org/0000-0001-9011-1211UNSPECIFIED
Date:June 2022
Refereed publication:Yes
Open Access:No
Status:Published
Keywords:Maintenance Planning, On-demand Aviation, Business-Aviation, Turbine Blades, Engine Degradation, LYFE, Life-Cycle Simulation, Erosion
Institution:University of Applied Sciences Aachen
Department:Faculty of Aerospace Engineering
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Components and Systems
DLR - Research area:Aeronautics
DLR - Program:L CS - Components and Systems
DLR - Research theme (Project):L - MRO and Cabin, L - Virtual Engine
Location: Hamburg
Institutes and Institutions:Institute of Maintenance, Repair and Overhaul > Product Life Cycle Management
Institute of Maintenance, Repair and Overhaul
Deposited By: Sieb, Patrick
Deposited On:12 Dec 2022 07:32
Last Modified:01 Mar 2023 12:47

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