S
Shuliang Cao
Researcher at Tsinghua University
Publications - 52
Citations - 1797
Shuliang Cao is an academic researcher from Tsinghua University. The author has contributed to research in topics: Impeller & Centrifugal pump. The author has an hindex of 24, co-authored 51 publications receiving 1287 citations.
Papers
More filters
Journal ArticleDOI
Theoretical model of energy performance prediction and BEP determination for centrifugal pump as turbine
Ming Liu,Lei Tan,Shuliang Cao +2 more
TL;DR: In this article, a flowrate-based iteration method is proposed to determine the best efficiency point (BEP) under turbine mode, and the predicted results by theoretical model are compared with experimental measurements and numerical simulations.
Journal ArticleDOI
Hydrodynamic design of rotodynamic pump impeller for multiphase pumping by combined approach of inverse design and CFD analysis
Shuliang Cao,Guoyi Peng,Zhiyi Yu +2 more
TL;DR: In this paper, a combined approach of inverse method and direct flow analysis is presented for the hydrodynamic design of gas-liquid two-phase flow rotodynamic pump impeller.
Journal ArticleDOI
Numerical study on characteristics of unsteady flow in a centrifugal pump volute at partial load condition
TL;DR: In this article, the detailed flow field and cavitation effect in the centrifugal pump volute at partial load condition was elucidated by using a computation fluid dynamics framework combining the re-normalization group k-e turbulence model and the mass transport cavitation model.
Journal ArticleDOI
Cavitation–Vortex–Turbulence Interaction and One-Dimensional Model Prediction of Pressure for Hydrofoil ALE15 by Large Eddy Simulation
Ming Liu,Lei Tan,Shuliang Cao +2 more
TL;DR: In this paper, the cavitating flow around the asymmetric leading edge (ALE) 15 hydrofoil is investigated through large eddy simulation with the modified Schnerr-Sauer cavitation model, which considers the effect of noncondensable gas.
Journal ArticleDOI
Optimization design of a reversible pump–turbine runner with high efficiency and stability
TL;DR: In this article, a multiobjective optimization design system, including a 3D inverse design, computational fluid dynamics, design of experiment, response surface methodology, and multi-objective genetic algorithm, is introduced and applied to the design of a middle-high-head pump-turbine runner.