McWilliam_2018_J._Phys.__Conf._Ser._1037_042009.pdf (745.29 kB)

Optimal aero-elastic design of a rotor with bend-twist coupling

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posted on 12.04.2019 by Michael K. McWilliam, Frederik Zahle, Antariksh Dicholkar, David Verelst, Taeseong Kim
Passive Bend-Twist Coupling (BTC) can be used in blades to alleviate loads and generate more Annual Energy Production (AEP). However, BTC is inherently aero-elastic, thus difficult to incorporate into the design with sequential design process. Multi-disciplinary Design Optimization (MDO) is an attractive approach for overcoming these challenges. This paper presents the re-design of a 100kW BTC rotor using the MDO rotor design package HAWTOpt2. In the preliminary design phase, MDO was used to assess the differences between elastic BTC (i.e. off-axis fibers) and geometric BTC (i.e. sweep). This work found that aero-elastic design optimization without BTC was able to achieve a 16% improvement, then with sweep a 18% improvement and with material coupling a 17% improvement. Due to the reduced stiffness of off-axis fibers, material coupled designs had more difficulty satisfying the tip deflection constraint. The geometric BTC concept was chosen for the final design. The design optimization was repeated with additional manufacturing constraints. The final design achieved a 12% improvement.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Journal of Physics: Conference Series

Volume

1037

Pages

042009 - 042009

Citation

MCWILLIAM, M.K. ... et al, 2018. Optimal aero-elastic design of a rotor with bend-twist coupling. Journal of Physics: Conference Series, 1037, 042009.

Publisher

IOP Publishing

Version

VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution 3.0 Unported (CC BY 3.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/by/3.0/

Publication date

2018

Notes

This is an Open Access article. It is published by IOP Publishing under the Creative Commons Attribution 3.0 Unported Licence (CC BY). Full details of this licence are available: https://creativecommons.org/licenses/by/3.0/

ISSN

1742-6588

eISSN

1742-6596

Language

en

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