Weak-Points Diagnosis of Gas Turbine Disk by Modal Parameter Identification

Ming Yu; Xin Ke Yu; Wen Jin Wang; Jing Zhang; Ling Li Zhang

doi:10.4028/www.scientific.net/KEM.584.112

Paper Titles

Dynamic Analysis and Various Mode Strategy Comparisons of the Two-Mode Hybrid Transmission
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Intermittent Fault Diagnosis under Extreme Vibration Environment Based on EMD and Neural Network
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System-Level BITs Fault Diagnosis and Isolation Based on Diagnostic Tree and Bayesian Network
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The Performance Analysis of Double Beam Bridge Crane Based on Computer Simulation Technology
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Weak-Points Diagnosis of Gas Turbine Disk by Modal Parameter Identification
p.112

Design of Key Parts of a Pneumatic Conveying System Used in a New Small Trenchless Drilling Robot
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Development of Characteristic Points Recognition and its Application in Cloth Hot-Beads Processing
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Experimental Study on Dynamic Characteristic of Pipeline Flow-Meter System
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Spectral Optimization of Fan Rotation Noise Based on Vector Composition Method
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HomeKey Engineering MaterialsKey Engineering Materials Vol. 584Weak-Points Diagnosis of Gas Turbine Disk by Modal...

Weak-Points Diagnosis of Gas Turbine Disk by Modal Parameter Identification

Abstract:

In order to keep gas turbine disk safe and reliable, and to provide reliable data for the dynamic design or modification of a gas turbine disk, dynamic characteristic of the gas turbine disk has to be obtained. In the paper, the method based on the combination of calculation mode and the experiment mode is proposed to analysis the dynamic characteristic of the gas turbine disk. The modal parameters and the mode shapes are calculated through ANSYS program. On the basis of these modal parameters, the faults of the gas turbine disk are shown and its weak points of the design are illustrated. The reason for deformation is analyzed and relevant measures employed to reduce faults are proposed. By these improvements in question, a guarantee of the gas turbine disk working normally has been available.

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Periodical:

Key Engineering Materials (Volume 584)

Pages:

112-116

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.584.112

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Online since:

September 2013

Authors:

Ming Yu, Xin Ke Yu, Wen Jin Wang, Jing Zhang, Ling Li Zhang

Keywords:

Finite Element Analysis (FEA), Gas Turbine Disk, Modal Parameter Identification, Weak-Point

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References

[1] WU Bin, ZHDNG Yisheng. Multidimensional piecewise general orthogonal polynomials is operator and its applications to parameter identification of distributed parameter systems. Control and Decision. 2003; No. 4: 397-401.

Google Scholar

[2] Wang Tong, Zhang Lingmi. A Multiple Frequency Band Fitting Method Using Orthogonal Polynomials and Corresponding Matlab Toolbox. Journal of Vibration Engineering. 2003; No. 4: 493-497.

Google Scholar

[3] Richardson M H, Formenti D L. Parameter estimation from frequency response measurements using rational fraction polynomials (twenty years of progress). Proceedings of 20th International Modal Analysis Conference I MAC. 2002;. 373-382.

Google Scholar

[4] Umar Farooq and Brian F. Feeny. An Experimental Investigation of State-Variable Modal Decomposition for Modal Analysis. J. Vib. Acoust. 134, 021017 (2012).

DOI: 10.1115/1.4003156

Google Scholar

[5] F.J. Rivero-Angeles, A.O. Vázquez-Hernández, L.V.S. Sagrilo. Spectral analysis of simulated acceleration records of deepwater SCR for identification of modal parameters. Ocean Engineering. 2013, Vol. 58(15): 78-87.

DOI: 10.1016/j.oceaneng.2012.10.010

Google Scholar

[6] Zhonghong Yan, Ayaho Miyamoto, Zhongwei Jiang. Frequency slice algorithm for modal signal separation and damping identification. Computers & Structures. 2011, Vol. 89(1–2): 14-26.

DOI: 10.1016/j.compstruc.2010.07.011

Google Scholar