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Computational fluid dynamics simulation of sound propagation through a blade row
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10.1121/1.4740499
/content/asa/journal/jasa/132/4/10.1121/1.4740499
http://aip.metastore.ingenta.com/content/asa/journal/jasa/132/4/10.1121/1.4740499

Figures

Image of FIG. 1.
FIG. 1.

Configuration of blade row in a flowing sound field.

Image of FIG. 2.
FIG. 2.

(Color online) Sketch of computational grid: Downstream incident wave with flat blades.

Image of FIG. 3.
FIG. 3.

Convergent history of pressure at monitor points.

Image of FIG. 4.
FIG. 4.

Numerical simulation result without a blade in axial mean flow field.(a) Instantaneous pressure contour. (b) Sound pressure level (p ref =2.0 × 10−5 Pa) along the axis.

Image of FIG. 5.
FIG. 5.

Transmission coefficient error of CFD to Kaji and Okazaki’s results for a different grid size.

Image of FIG. 6.
FIG. 6.

Transmission coefficient error of CFD to Kaji and Okazaki’s results for different input wave SPL (p ref = ρUc).

Image of FIG. 7.
FIG. 7.

(Color online) Comparison of transmission coefficient: M = 0.5, kCb  = π/2.

Image of FIG. 8.
FIG. 8.

(Color online) Comparison of transmission/reflection coefficient: M = 0.5, θ = 60°, kCb  = π.

Image of FIG. 9.
FIG. 9.

(Color online) Effect of flow Mach number. Upper curve: Transmission coefficients versus Mach number. Lower curve: Reflection coefficient. (a) Constant incident wave angle for each case; (b) constant cut-off ratio for each case.

Image of FIG. 10.
FIG. 10.

(Color online) Effect of blade thickness.

Image of FIG. 11.
FIG. 11.

(Color online) Effect of turning angle.

Tables

Generic image for table
TABLE I.

Parameters of two computational cases.

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/content/asa/journal/jasa/132/4/10.1121/1.4740499
2012-10-03
2014-04-19
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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Computational fluid dynamics simulation of sound propagation through a blade row
http://aip.metastore.ingenta.com/content/asa/journal/jasa/132/4/10.1121/1.4740499
10.1121/1.4740499
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