Multi-fidelity aerodynamic design and analysis of propellers for a heavy-lift eVTOL

Zhang, T., Barakos, G. N. , Furqan, and Foster, M. (2023) Multi-fidelity aerodynamic design and analysis of propellers for a heavy-lift eVTOL. Aerospace Science and Technology, 135, 108185. (doi: 10.1016/j.ast.2023.108185)

Abstract

This paper presents a multi-fidelity propeller design and analysis process, and demonstrates it for the preliminary design of a heavy-lift eVTOL vehicle proposed by GKN aerospace, known as Skybus. The multi-fidelity framework integrates tools and results of variable fidelity levels. A global scan of the design space was first carried out at the low-fidelity stage. The low-fidelity output was converted to 3D shapes and grids through an automatic meshing tool, and high-fidelity CFD simulations and gradient-based optimisation were launched to deliver further improved designs. The method was first verified using a benchmark multi-modal test function. The framework was then demonstrated for the propeller design of the Skybus vehicle. Rectangular blade designs with linear twist were first derived through the Blade Element Momentum Theory and used as the input to the low-fidelity stage for simplicity. Upon the baseline design, the low-fidelity stage managed to find an improved shape with 3% reduced power, while the high-fidelity optimisation further reduced the power by 2.2% under the equality thrust constraint. In addition, this work also reports the propeller pitch-RPM performance map tool that has effectively supported the Skybus development through fast performance predictions and operating condition determination. For propellers with both pitch and RPM regulation, the performance map explicitly correlates various performance scopes and to aid optimisation. The multi-fidelity construction of the performance map and demonstrations of its usage are then presented.

• Item Type: Articles
• Additional Information: The authors would like to acknowledge GKN Aerospace for their support and approval of publication.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Furqan, Mr Furqan and Barakos, Professor George and Zhang, Mr Tao and Foster, Mr Malcolm
• Authors: Zhang, T., Barakos, G. N., Furqan, , and Foster, M.
• College/School: College of Science and Engineering > School of Engineering; College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
• Journal Name: Aerospace Science and Technology
• Publisher: Elsevier
• ISSN: 1270-9638
• ISSN (Online): 1626-3219
• Published Online: 13 February 2023
• Copyright Holders: Copyright © 2023 The Authors
• First Published: First published in Aerospace Science and Technology 135: 108185
• Publisher Policy: Reproduced under a Creative Commons License