Technical Papers
Jun 18, 2020

Aerodynamic Reduced-Order Model of Shape-Change Blade Subjected to Upstream Wake

Publication: Journal of Aerospace Engineering
Volume 33, Issue 5

Abstract

This paper presents a Volterra series reduced-order model method to evaluate aerodynamic forces of aircraft engine blade designs, whose shape changes during design and are always excited by upstream wakes. The method uses a superposition of the steady and dynamic Volterra series to reach this aim. The steady series represents the influence of the blade shape changes on the blade aerodynamic forces. The dynamic series represents the impact of the unsteady upstream wakes on the blade aerodynamic forces. A T106LPT blade is used as an example to discuss the proposed method. The accuracy of the ROM method is analyzed by the example at the wake excitation condition with or without shape-change. The example shows that the ROM method can predict the wake induced pressure variation of a shape-change blade without repeated computational fluid dynamics (CFD) analyses.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

This project is supported by the National Science Foundation of China (Grant No. 51775518).

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Go to Journal of Aerospace Engineering
Journal of Aerospace Engineering
Volume 33Issue 5September 2020

History

Received: Oct 14, 2019
Accepted: Apr 23, 2020
Published online: Jun 18, 2020
Published in print: Sep 1, 2020
Discussion open until: Nov 18, 2020

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Authors

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Assistant Professor, Dept. of Mathematics, Taiyuan Univ., Taiyuan 030001, China. Email: [email protected]
School of Mechatronic Engineering, North Univ. of China, Taiyuan 030051, China. Email: [email protected]
Professor, School of Mechatronic Engineering, North Univ. of China, Taiyuan 030051, China (corresponding author). ORCID: https://orcid.org/0000-0001-7216-3069. Email: [email protected]; [email protected]
Kuan Lu, Ph.D. [email protected]
Assistant Professor, School of Mechatronic Engineering, North Univ. of China, Taiyuan 030051, China. Email: [email protected]
Mei Ni Yuan, Ph.D. [email protected]
Professor, School of Mechatronic Engineering, North Univ. of China, Taiyuan 030051, China. Email: [email protected]

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