Aircraft Jet Engine Architecture Modeling

Creating a Benchmark Problem using a System Architecting Approach with Mixed-Discrete & Multi-Objective Capabilities

Master Thesis (2021)
Author(s)

T.S.E.P. De Smedt (TU Delft - Aerospace Engineering)

Contributor(s)

G. La Rocca – Mentor (TU Delft - Aerospace Engineering)

J.H. Bussemaker – Graduation committee member (Deutsches Zentrum für Luft- und Raumfahrt (DLR))

F. Yin – Coach (TU Delft - Aerospace Engineering)

M. Pini – Coach (TU Delft - Aerospace Engineering)

Faculty
Aerospace Engineering
URL related publication
https://github.com/jbussemaker/OpenTurbofanArchitecting
More Info
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Publication Year
2021
Language
English
Graduation Date
13-09-2021
Awarding Institution
Delft University of Technology
Project
AGILE 4.0, Towards Cyber-physical Collaborative Aircraft Development
Programme
Aerospace Engineering
Related content

Published code developed during the thesis research.

https://github.com/jbussemaker/OpenTurbofanArchitecting
Faculty
Aerospace Engineering
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Abstract

With an increasing complexity of systems, systematic design space exploration is required for fair analysis and comparison of architecture design options. However, there is still a need for a benchmark problem to support the development & evaluation of optimization algorithms and system architecture design space modeling methods, and to educate stakeholders in system architecture optimization. The thesis focus lies on the creation of such benchmark problem with an application to aircraft jet engine design, which is subsequently tackled by developing an MDO tool using a system architecting approach with mixed-discrete and multi-objective capabilities. The tool was built with the open-source software pyCycle and OpenMDAO and can generate, analyze and compare different aircraft engine architectures on several disciplines including engine thermodynamic cycle analysis, weight, geometry, emissions and noise. Therefore, it is able to tackle the black-box, mixed-discrete, multi-objective and hierarchical nature of system architecture optimization problems.

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