Journal of Marine Science and Technology

, Volume 23, Issue 2, pp 389–397 | Cite as

Numerical simulation of non-uniform roughness distribution on compressor performance

Original article
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Abstract

This paper investigated the roughness of NASA Stage 35 test compressor. Surface roughness can change the geometric line in the microcosm, which causes the compressor operation to deviate from the design point under working conditions. Wall function was used in this study to describe roughness. Roughness calculation model in non-uniform distribution was established along the chord and spanwise directions. Basing on certain rules, rotor blades were attached with roughness to determine the influence of blade roughness position distribution on the overall performance of the compressor and internal flow. Results show that when roughness was distributed from the blade leading edge to 40% of the chord, the compressor performance was greatly influenced; in severe performance, compressor efficiency decreased by more than 2%. Roughness position distribution in blade height direction exhibited a minimal effect on the entire compressor performance, which can be ignored.

Keywords

Compressor Surface roughness Flow field Numerical simulation 

List of symbols

ρ

Air density

u+

Near surface velocity

uτ

Frication velocity

Ut

Tangential velocity

Δy

Distance to the wall

y+

Dimensionless distance to the wall

μ

Viscosity coefficient

A

Total surface area

τw

Wall shear stress

κ

Constant number of von Karman

C

Constant number related to roughness

B

Constant number of rough height

ΔB

Offset of rough height

h+

Dimensionless number of roughness

h

Average roughness of blade surface roughness

hs

Average of roughness parameters

hs+

Dimensionless number of h s

ν

Dynamic viscosity

ks

Equivalent gravel roughness

\(\bar{k}_{s}\)

Average roughness

Cp

Pressure coefficient factor C p  = (P 0 − P)/(P 0 − P 2S)

Notes

Acknowledgement

The authors would like to knowledge the financial assistance from the National Natural Science Foundation of China (Project 51309063, U1460202) and Specialized Research Fund for the Doctoral Program of Higher Education (Project No. 20132304120012).

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Copyright information

© JASNAOE 2017

Authors and Affiliations

  • Haiou Sun
    • 1
  • Meng Wang
    • 1
  • Zhongyi Wang
    • 1
  • Jingyuan Ma
    • 1
  1. 1.College of Power and Energy EngineeringHarbin Engineering UniversityHarbinChina

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