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System Architecture Optimization: An Open Source Multidisciplinary Aircraft Jet Engine Architecting Problem

Bussemaker, Jasper and De Smedt, Thibault and La Rocca, Gianfranco and Ciampa, Pier Davide and Nagel, Björn (2021) System Architecture Optimization: An Open Source Multidisciplinary Aircraft Jet Engine Architecting Problem. In: AIAA Aviation and Aeronautics Forum and Exposition, AIAA AVIATION Forum 2021. AIAA AVIATION 2021 Forum, 2021-08-02 - 2021-08-06, Virtual Event. doi: 10.2514/6.2021-3078. ISBN 978-162410610-1.

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Official URL: http://dx.doi.org/10.2514/6.2021-3078


Decisions regarding the system architecture are important and taken early in the design process, however suffer from large design spaces and expert bias. Systematic design space exploration techniques, like optimization, can be applied to system architecting. Realistic engineering benchmark problems are needed to enable development of optimization algorithms that can successfully solve these black-box, hierarchical, mixed-discrete, multi-objective architecture optimization problems. Such benchmark problems support the development of more capable optimization algorithms, more suitable methods for modeling system architecture design space, and educating engineers and other stakeholders on system architecture optimization in general. In this paper, an engine architecting benchmark problem is presented that exhibits all this behavior and is based on the open-source simulation tools pyCycle and OpenMDAO. Next to thermodynamic cycle analysis, the proposed benchmark problem includes modules for the estimation of engine weight, length, diameter, noise and NOx emissions. The problem is defined using modular interfaces, allowing to tune the complexity of the problem, by varying the number of design variables, objectives and constraints. The benchmark problem is validated by comparing to pyCycle example cases and existing engine performance data, and demonstrated using both a simple and a realistic problem formulation, solved using the multi-objective NSGA-II algorithm. It is shown that realistic results can be obtained, even though the design space is subject to hidden constraints due to the engine evaluation not converging for all design points.

Item URL in elib:https://elib.dlr.de/143455/
Document Type:Conference or Workshop Item (Lecture)
Title:System Architecture Optimization: An Open Source Multidisciplinary Aircraft Jet Engine Architecting Problem
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Bussemaker, JasperUNSPECIFIEDhttps://orcid.org/0000-0002-5421-6419UNSPECIFIED
Ciampa, Pier DavideUNSPECIFIEDhttps://orcid.org/0000-0003-1652-4899UNSPECIFIED
Date:28 July 2021
Journal or Publication Title:AIAA Aviation and Aeronautics Forum and Exposition, AIAA AVIATION Forum 2021
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Keywords:mbse, mdo, system architecting, jet engine design
Event Title:AIAA AVIATION 2021 Forum
Event Location:Virtual Event
Event Type:international Conference
Event Start Date:2 August 2021
Event End Date:6 August 2021
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Efficient Vehicle
DLR - Research area:Aeronautics
DLR - Program:L EV - Efficient Vehicle
DLR - Research theme (Project):L - Virtual Aircraft and  Validation, L - Digital Technologies
Location: Hamburg
Institutes and Institutions:Institute of System Architectures in Aeronautics > Aircraft Design and System Integration
Deposited By: Bussemaker, Jasper
Deposited On:10 Aug 2021 07:13
Last Modified:24 Apr 2024 20:43

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