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Turbomachine blade vibration

01 Jan 1991-
TL;DR: In this paper, the authors present a detailed analysis of single and coupled blade-disc vibrations, as well as the effect of small aspect ratio on the number of vibrations.
Abstract: Single Blade Vibrations Discrete Analysis of Blades Small Aspect Ratio Blades Blade Group Frequencies and Mode Shapes Excitation Damping Forced Vibrations Transient Vibrations Coupled Blade-Disc Vibrations Some Thoughts on Fatigue Life Estimation Some Reflections Appendices: Heat Transfer and Thermal Stress of Turbine Blades SI Units Nomenclature Index.
Citations
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Journal ArticleDOI
TL;DR: The results of the experimental study into the damping of flexural vibrations in turbofan blades with trailing edges tapered according to a power-law profile are reported as mentioned in this paper.

61 citations


Cites background from "Turbomachine blade vibration"

  • ...One of the major causes of turbofan blade failure in jet engines is the flow-induced vibrations of the blades resulting in their high cyclic fatigue [1]....

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  • ...Contrary to the above-mentioned case of electromagnetic shaker excitation, the dynamic forces acting on the blade under air flow excitation are much more complex [1]....

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Journal ArticleDOI
TL;DR: In this paper, a structural dynamic model with which vibration characteristics of rotating blades made of functionally graded materials (FGMs) can be investigated is presented, where the equations of motion of a rotating pretwisted tapered blade made of FGM are derived using the Rayleigh-Ritz assumed mode method along with the Kane's method.

58 citations

Journal ArticleDOI
TL;DR: An improved MUSIC is proposed as an alternative methodology to extract the blade vibration frequency for BTT based on the orthogonality of the signal subspace and the noise subspace from undersampled signal.
Abstract: Blade tip timing (BTT) is an effective noncontact measurement technology for rotating blade health monitoring. However, due to the mismatching between the high-speed rotation and the limited amount of probes, the signal collected from the BTT system is severely undersampled, which induces the difficulty in feature extraction. Multiple signal classification (MUSIC) has the potential to overcome the undersampled problem once the probes are properly placed. Whereas, if traditional MUSIC is directly used in BTT, the accuracy of frequency identification cannot be high enough and the identified number of frequency components is also severely restrained. To address these two problems, an improved MUSIC is proposed as an alternative methodology to extract the blade vibration frequency for BTT. Based on the orthogonality of the signal subspace and the noise subspace from undersampled signal, the presented method can effectively identify the vibration frequency components from the undersampled signal of BTT.

53 citations


Cites background from "Turbomachine blade vibration"

  • ...Its special structure and long transmission path make it difficult to diagnose the blade health by direct vibration measurement [5], [6], [7]....

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Journal ArticleDOI
TL;DR: In this article, an Artificial Neural Network (ANN) approach was developed to predict the useful life (UL) of the blades of steam turbines, and the configuration 6-3-1 (6 inputs, 3 hidden and 1 output neurons) presented an excellent agreement between experimental and simulated useful life value considering the hyperbolic tangent sigmoid and linear transfer function in the hidden layer and output layer.

52 citations

Journal ArticleDOI
TL;DR: In this paper, a non-linear strain-displacement relationship of a pre-twisted conical shell on the general shell theory is utilized, and a method for vibration of a rotating cantilever conical shells with pretwist is developed by the principle of virtual work and the Rayleigh-Ritz method.

45 citations