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

  • Haiou Sun
  • Meng Wang
  • Zhongyi Wang
  • Jingyuan Ma
Original article


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.


Compressor Surface roughness Flow field Numerical simulation 

List of symbols


Air density


Near surface velocity


Frication velocity


Tangential velocity


Distance to the wall


Dimensionless distance to the wall


Viscosity coefficient


Total surface area


Wall shear stress


Constant number of von Karman


Constant number related to roughness


Constant number of rough height


Offset of rough height


Dimensionless number of roughness


Average roughness of blade surface roughness


Average of roughness parameters


Dimensionless number of h s


Dynamic viscosity


Equivalent gravel roughness


Average roughness


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



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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