Conference paper Open Access

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

Bussemaker, J.H.; De Smedt, T.; La Rocca., G.; Ciampa, P.D.; Nagel, B.


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    <subfield code="a">Aircraft Jet Engine</subfield>
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    <subfield code="u">DLR (German Aerospace Center), Institute of System Architectures in Aeronautics, Hamburg, Germany</subfield>
    <subfield code="a">Ciampa, P.D.</subfield>
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    <subfield code="a">Bussemaker, J.H.</subfield>
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    <subfield code="a">System Architecture Optimization: An Open Source Multidisciplinary Aircraft Jet Engine Architecting Problem</subfield>
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    <subfield code="a">&lt;p&gt;Decisions regarding the system architecture are important and taken early in the design&lt;br&gt;
process, however suffer from large design spaces and expert bias. Systematic design space&lt;br&gt;
exploration techniques, like optimization, can be applied to system architecting. Realistic engineering benchmark problems are needed to enable development of optimization algorithms&lt;br&gt;
that can successfully solve these black-box, hierarchical, mixed-discrete, multi-objective architecture optimization problems. Such benchmark problems support the development of more&lt;br&gt;
capable optimization algorithms, more suitable methods for modeling system architecture design space, and educating engineers and other stakeholders on system architecture optimization&lt;br&gt;
in general. In this paper, an engine architecting benchmark problem is presented that exhibits&lt;br&gt;
all this behavior and is based on the open-source simulation tools pyCycle and OpenMDAO.&lt;br&gt;
Next to thermodynamic cycle analysis, the proposed benchmark problem includes modules&lt;br&gt;
for the estimation of engine weight, length, diameter, noise and NOx emissions. The problem&lt;br&gt;
is defined using modular interfaces, allowing to tune the complexity of the problem, by vary-&lt;br&gt;
ing the number of design variables, objectives and constraints. The benchmark problem is&lt;br&gt;
validated by comparing to pyCycle example cases and existing engine performance data, and&lt;br&gt;
demonstrated using both a simple and a realistic problem formulation, solved using the multi-&lt;br&gt;
objective NSGA-II algorithm. It is shown that realistic results can be obtained, even though&lt;br&gt;
the design space is subject to hidden constraints due to the engine evaluation not converging&lt;br&gt;
for all design points.&lt;br&gt;
&amp;nbsp;&lt;/p&gt;</subfield>
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    <subfield code="a">10.2514/6.2021-3078</subfield>
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