Generalizing Circular Brush Seal Leakage Through a Randomly Distributed Bristle Bed

[+] Author and Article Information
R. E. Chupp

Combustion Turbine Engineering Development, Westinghouse Electric Corporation, Orlando, FL 32826

G. F. Holle

Show Low, AZ 85901

J. Turbomach 118(1), 153-161 (Jan 01, 1996) (9 pages) doi:10.1115/1.2836596 History: Received February 09, 1994; Online January 29, 2008


Brush seals have established a niche in the gas-to-gas sealing against leakage in modern turbine engines. The variable nature of the brush during operation makes leakage prediction difficult. A simple semi-empirical model based on an effective brush thickness parameter has been successfully used to correlate and predict brush seal leakage in engine environments. The model was extended to correlate a range of brush densities using a physically realistic brush thickness. Later, the model was based on mean diametric brush properties for a large range of circular brush seal geometries. However, the best basis for modeling bristle, distribution was unknown. This paper proposes a solution to the distribution problem by assuming a randomly distributed bristle bed. A random distribution leads to a rectangular array model that is supported by the quality of leakage data generalization. Applying the resultant effective thickness parameter to predict brush seal performance in turbine engines is discussed.

Copyright © 1996 by The American Society of Mechanical Engineers
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