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PhD student: Jia Sun Supervisor: Leif Kari MWL/AVE/ KTH 2009-04-23
COMPRESSOR TECHNOLOGY Project COMP (WP3): Development and validation of numerical tools for prediction of damping (WP3) PhD student: Jia Sun Supervisor: Leif Kari MWL/AVE/ KTH
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Structural damping (WP3)
Aero damping Aero forcing Material fatigue Structural damping
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Outline Part I Overview Part II Damping Measurement
Part III Design the damping treatment Part IV Analysis of the vibration characteristic of the rotating turbine blade Conclusion
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Part I Overview Goal: Structural Damping with coating treatments
The concept of damping In practice, the loss factor is defined as the energy relation with physical meanings
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Part I Overview Measurement methods for different damping materials:
The reverberation time method Light damping, having enough decay time The vibration decay method Heavy damping Half power method Only measuring damping at the resonance frequency
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Part II Damping Measurement
Goal: Measuring material damping for turbine blade Two base materials with three different coating layers including eight different material’s configurations
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Test Object Test Specimens Specimens Dimension
Free-Free Non Rigid Body modes of the turbine blade from Siemens Titanium: Hz Stainless Stell: Hz
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Method Test method: Reverberation time method
In practice, the decay curve can not reach 60dB reduction. Approximate 20dB reduction can give the sufficient accuracy. The linear regression method is used to calculate the reverberation time T60.
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Measurement setting Test configuration
The suspending points are at 0.132L and 0776L; no force acts at the two points; Sensor Selection: Microphone
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Measurement setting Exciter Equipments
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Results Test Results
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Further Measurement How to measure the damping for the base material with the coating layer? The coating material has the higher damping than base material Reverberation time method doesn't work Vibration decay method will be used
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Measurement for the real turbine blades
Damping measurement of two types of the turbine blade from Siemens Industrial Turbomachinery AB. Test the material damping of the turbine blade in air and vacuum condition. Titanium Stainless Steel
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Method The reverberation method
Accelerometer, electro-magnetic exciter
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Part III Design the damping treatment
The definition of the loss factor Design the damping layer The quasi-longitudinal waves are hard to be damped Only consider to damp the bending wave Energy lost per cycle of vibration Reversible Energy
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Coating Models The loss factor for bending wave
Case one: treatment on one side Case two: treatments on both sides
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Procedure for designing the treatment
The procedure for determining the configuration of the damping treatment: First measurement Decide the loss factor of the coating material Suggest the proper treatment configuration according to the requirement Input this loss factor into the equation to calculate the combined damping Measurement to verify our design
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Part IV Analysis of the vibration characteristic of the rotating turbine blade
Comsol Multiphysics gives the numerical solution for the eigenfrequency analysis of a rotating blade Since stress stiffness is an effect of the stationary stress field 1st step: calculating the stationary deformation due to rotating effect Convert centrifugal force to a loading force 2nd step: calculating the eigen mode for this prestressed blade Introduce the damping into numerical model The damped eigenfrequency analysis can induce the loss factor in turbine blade model. Two options can be selected: Rayleigh damping (viscous model) or the loss factor (structural or material damping)
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Conclusion Describing the damping concept and measurement methods
Damping measurements are made and further experiments will continue to take measure the damping of specimens with different damping layers Developing an analytical method to design the damping treatment and the validation will be made by experimental results FEM analysis about the vibration characteristic of the rotating blade is being worked by Comsol and the further task is to integrate this treatment model into our FEM analysis
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Thank you for your attention
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