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A Robust Initialization Approach of Multi-Point Synthesis Schemes For Aero-Engine Conceptual Design
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.
Mälardalen University, School of Business, Society and Engineering, Future Energy Center.ORCID iD: 0000-0002-8466-356X
Mälardalen University.
Limmat Scientific AG, Zurich, 8006, Switzerland.
2021 (English)In: AIAA Propulsion and Energy Forum, 2021, American Institute of Aeronautics and Astronautics Inc, AIAA , 2021, article id AIAA 2021-3469Conference paper, Published paper (Refereed)
Abstract [en]

During the last years, the aviation industry has shifted its focus towards increasing the aircraft efficiency. The constant drive to search for more efficient systems has led to the introduction of novel concepts. These concepts expand the design space but, at the same time, bring several challenges to the design process. One of the challenges is to develop a conceptual engine design model that can work effectively and provide consistently accurate solutions, even when there are dramatic changes in design constraints. In this work, a multipoint synthesis approach is developed which considers multiple points during the design phase. By incorporating multiple operating points into the design analysis phase, it is ensured that all performance requirements and design constraints are satisfied. A comparison between the traditional engine design approach and the proposed approach is presented to showcase the advantages of the proposed method. A parametric analysis of a geared turbofan configuration is conducted for both design approaches. Then, the multi-point synthesis approach is employed for the design space exploration of a conventional geared turbofan engine and a parallel-hybrid (or boosted) turbofan engine. To enable these studies, surrogate models are developed which utilize machine learning methods in a database of converged engine designs and can ensure the effective and fast operation of the engine model. It is concluded that this surrogate adapted algorithm improves computational efficiency and can be used to evaluate alternative designs.

Place, publisher, year, edition, pages
American Institute of Aeronautics and Astronautics Inc, AIAA , 2021. article id AIAA 2021-3469
Keywords [en]
Aircraft engines, Computational efficiency, Conceptual design, Learning systems, Machine design, Propulsion, Turbofan engines, Aero-engine, Design approaches, Design constraints, Design models, Design spaces, Design-process, Engine design, Multi-points, Multiple points, Novel concept, Efficiency
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-57739DOI: 10.2514/6.2021-3469Scopus ID: 2-s2.0-85126757314ISBN: 9781624106118 (print)OAI: oai:DiVA.org:mdh-57739DiVA, id: diva2:1650216
Conference
AIAA Propulsion and Energy Forum, 2021, 9 August 2021 through 11 August 2021
Available from: 2022-04-06 Created: 2022-04-06 Last updated: 2024-09-09Bibliographically approved
In thesis
1. Integrated Methodologies for Electrified Aircraft Design: From Conceptualization to Optimization
Open this publication in new window or tab >>Integrated Methodologies for Electrified Aircraft Design: From Conceptualization to Optimization
2024 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

This work explores the design and optimization of electrified configurations in aviation, focusing on the application and adaptation of these technologies across various aircraft classes. It utilizes a range of methodologies, including the development of a novel engine design approach, multi-disciplinary frameworks and the integration of surrogate modeling techniques, to enhance the conceptual design process and facilitate efficient exploration of complex design spaces.

This work demonstrates that electrified systems can significantly improve fuel efficiency and reduce emissions, particularly in short-haul applications where the current limitations of battery technology are less restrictive. The work identifies critical design trade-offs, such as the impact of battery weight on overall aircraft performance and the benefits of distributed propulsion systems in reducing aerodynamic drag and enhancing energy efficiency.

An uncertainty analysis further reveals the critical role of technological advancements in electrical powertrain components and their implications for the operational viability of electrified aircraft. The findings indicate that while near-term benefits can be achieved with current hybrid configurations, fully electrified aircraft will depend on future improvements in battery energy density and powertrain technologies.

Through these diverse methodologies and analyses, this work contributes to a deeper understanding of the challenges and opportunities in electrified aircraft design, offering insights that are crucial for advancing sustainable aviation.

Place, publisher, year, edition, pages
Västerås: Mälardalen University, 2024. p. 254
Series
Mälardalen University Press Dissertations, ISSN 1651-4238 ; 418
Keywords
Multi-disciplinary, Optimization, Electrified Propulsion, Uncertainty Analysis
National Category
Aerospace Engineering
Research subject
Energy- and Environmental Engineering
Identifiers
urn:nbn:se:mdh:diva-68386 (URN)978-91-7485-677-4 (ISBN)
Public defence
2024-11-08, Lambda, Mälardalens universitet, Västerås, 13:15 (English)
Opponent
Supervisors
Available from: 2024-09-10 Created: 2024-09-09 Last updated: 2024-10-10Bibliographically approved

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Diamantidou, EiriniKyprianidis, Konstantinos

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