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Performance and Parameter Sensitivity Analysis of Finger Seal with Radial Clearance

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Advances in Mechanical Design (ICMD 2019)

Part of the book series: Mechanisms and Machine Science ((Mechan. Machine Science,volume 77))

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Abstract

Finger seal is an advanced compliant seal which can be utilized to separate high pressure (HP) and low pressure (LP) zones in high speed rotating shaft environment. The work concerns leakage simulation of a multi-layer finger seal with radial clearance and the effects of structural and operating parameters on finger seal performance. Leakage, viscosity friction and load capacity of finger seal under different conditions are calculated by computational fluid dynamics method. Using single factor method six input parameters influence rules to sealing behavior are investigated. Leakage and friction increase with increasing radial clearance or finger number. When lengthening the flow path the leakage decrease sharply but friction and load increase slightly. Leakage, friction and load all increase approximate linearly with pressure increase. Decreases of leakage are observed when raising gas temperature or rotor rotating speed. Six input parameters sensitivity analysis to finger seal performance are conducted combined with orthogonal design and fuzzy satisfactory function evaluation. It is concluded that radial clearance is the most sensitive factor of all. Pressure and radial clearance and rotating speed are the top three factors impact on friction. Flow length and pressure have significant roles on load capacity. Finger number has the least effect on all performance. The work presented makes sense to study the finger seal performance accurately and economically. It also provides useful insights to design the finger seal with better performance.

This project is supported by National Natural Science Foundation of China (Grant No. 51575445).

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Su, H. (2020). Performance and Parameter Sensitivity Analysis of Finger Seal with Radial Clearance. In: Tan, J. (eds) Advances in Mechanical Design. ICMD 2019. Mechanisms and Machine Science, vol 77. Springer, Singapore. https://doi.org/10.1007/978-981-32-9941-2_47

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  • DOI: https://doi.org/10.1007/978-981-32-9941-2_47

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-32-9940-5

  • Online ISBN: 978-981-32-9941-2

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