0
Research Papers: Gas Turbines: Structures and Dynamics

Mistuning Effects on Aero-elastic Stability of Axial Compressor Rotor Blades

[+] Author and Article Information
Yanrong Wang

Collaborative Innovation Center
for Advanced Aero-Engine,
School of Energy and Power Engineering,
Beihang University,
37 Xueyuan Road, Haidian District,
Beijing 100191, China
e-mail: yrwang@buaa.edu.cn

Zhizhong Fu

Collaborative Innovation Center
for Advanced Aero-Engine,
School of Energy and Power Engineering,
Beihang University,
37 Xueyuan Road, Haidian District,
Beijing 100191, China
e-mail: buaaxiaochuang@163.com

Xianghua Jiang

Collaborative Innovation Center
for Advanced Aero-Engine,
School of Energy and Power Engineering,
Beihang University,
37 Xueyuan Road, Haidian District,
Beijing 100191, China
e-mail: jxh@buaa.edu.cn

Aimei Tian

School of Astronautics,
Beijing University of Aeronautics and Astronautics,
37 Xueyuan Road, Haidian District,
Beijing 100191, China
e-mail: amtian@buaa.edu.cn

1Corresponding author.

Contributed by the Structures and Dynamics Committee of ASME for publication in the JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER. Manuscript received February 13, 2015; final manuscript received March 18, 2015; published online May 6, 2015. Editor: David Wisler.

J. Eng. Gas Turbines Power 137(10), 102504 (Oct 01, 2015) (12 pages) Paper No: GTP-15-1045; doi: 10.1115/1.4030280 History: Received February 13, 2015; Revised March 18, 2015; Online May 06, 2015

The mistuning effects on the aero-elastic stability of axial compressor rotor blades have been investigated by employing aero-elastic eigenvalue method. An axial compressor rotor suffered from flutter failure has been analyzed with four intentional mistuning patterns and their sensitivities to random mistuning. Through a comparison of four intentional mistuning patterns, the mistuning mechanism of improving aero-elastic stability may be understood from the combining effects of frequency offset and the destruction of periodicity by the introduction of mistuning. Increasing the amount of alternate mistuning cannot provide any additional improving effects on the aero-elastic stability when the mistuning amount reaches a critical value. However, the further mistuning effects can be obtained by placing several groups (isolation zone) with additional frequency offset relative to the alternately mistuned system. The random mistuning can always improve the aero-elastic stability of the tuned system. However, for the intentionally mistuned system, the inclusion of random mistuning with a small level may weaken the improving effects of intentional mistuning and even makes the system unstable.

Copyright © 2015 by ASME
Your Session has timed out. Please sign back in to continue.

References

Figures

Grahic Jump Location
Fig. 1

The sketch of blade cascade

Grahic Jump Location
Fig. 2

9-passage fluid model

Grahic Jump Location
Fig. 3

The curve of pressure at point 1 versus time

Grahic Jump Location
Fig. 4

Aerodynamic force amplitude contours of different passage models: (a) pressure surface of 5-passage model, (b) suction surface of 5-passage model, (c) pressure surface of 7-passage model, (d) suction surface of 7-passage model, (e) pressure surface of 9-passage model, and (f) suction surface of 9-passage model

Grahic Jump Location
Fig. 5

The obtained aerodynamic influence coefficients from different fluid models: (a) amplitude and (b) phase angle

Grahic Jump Location
Fig. 6

AMDR of different passage models and energy method

Grahic Jump Location
Fig. 7

The eigenvalue distribution of tuned system

Grahic Jump Location
Fig. 8

Four intentional mistuning patterns: (a) mistuning 1, (b) mistuning 2, (c) mistuning 3, and (d) mistuning 4

Grahic Jump Location
Fig. 9

Pattern of 1B frequency difference arrangement for mistuning 4

Grahic Jump Location
Fig. 10

Variations of real parts of the maximum and minimum eigenvalue versus mistuning amount for alternate pattern

Grahic Jump Location
Fig. 11

Eigenvalue distributions of tuned and mistuned systems

Grahic Jump Location
Fig. 12

Distribution of frequency offset for the base system with 1.5% mistuning amount

Grahic Jump Location
Fig. 13

One percent frequency offset of isolation zone relative to the base system: (a) 1 isolation zone, (b) 2 isolation zones, (c) 3 isolation zones, (d) 4 isolation zones, and (e) 5 isolation zones

Grahic Jump Location
Fig. 14

Effects of isolation zone number on aero-elastic eigenvalues. (a) The maximum real part of eigenvalues and (b) the minimum real part of eigenvalues.

Grahic Jump Location
Fig. 15

Effects of frequency offset of isolation zone on eigenvalues for the AMIZ mistuned system with 3 isolation zones. (a) The maximum real part of eigenvalues and (b) the minimum real part of eigenvalues.

Grahic Jump Location
Fig. 16

Flutter probability of randomly mistuned system: (a) 10,000 simulations at each standard deviation level and (b) 100,000 simulations at each standard deviation level

Grahic Jump Location
Fig. 17

Probability density distribution of the maximum real part of eigenvalues for intentionally mistuned systems: (a) mistuning 1, (b) mistuning 2, (c) mistuning 3, and (d) mistuning 4

Tables

Errata

Discussions

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In