A Robust Initialization Approach of Multi-Point Synthesis Schemes For Aero-Engine Conceptual Design
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
2022-04-062022-04-062024-09-09Bibliographically approved
In thesis