Evaluation of turbulence models for predicting the performance of an axial-flow pump

Guo Yu Wang*, Yi Huo, Bo Zhang, Xiang Bin Li, Zhi Yi Yu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

27 Citations (Scopus)

Abstract

To evaluate predictive capability of a turbulence model for performances of an axial-flow pump, the standard κ-ε model, RNG κ-ε model, SST model and filter-based model (FBM) are used to simulate the flows in an axial-flow pump respectively. Based on computations, the head, torque and efficiency of the axial-flow pump are predicted. To help shed light on the justification of these models, the numerical results are compared with experimental results. Distributions of pressure and velocity within the axial-flow pump are analyzed. Although all four models give satisfactory predictions in the optimal operating condition, a good agreement between numerical predictions and experimental date at off-design conditions is only obtained by using FBM model.

Original languageEnglish
Pages (from-to)309-313
Number of pages5
JournalBeijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume29
Issue number4
Publication statusPublished - Apr 2009

Keywords

  • Axial-flow pump
  • Filter
  • Performance prediction
  • Turbulence model

Fingerprint

Dive into the research topics of 'Evaluation of turbulence models for predicting the performance of an axial-flow pump'. Together they form a unique fingerprint.

Cite this