Optimization of a centrifugal compressor impeller using CFD: the choice of simulation model parameters

10th International Conference on Compressors and their Systems

Neverov, V.V.^1 ; Kozhukhov, Y.V.^1 ; Yablokov, A.M.^1 ; Lebedev, A.A.^1

Department of Compressor, Vacuum and Refrigeration Engineering, Peter the Great St. Petersburg Polytechnic University, 29 Politechnicheskaya St., St.-Petersburg

195251, Russia^1

关键词: Centrifugal compressor impeller;    Computational capability;    Computational domains;    Computational model;    Computational time;    Optimal parameter;    Shear-stress transport;    Spalart-Allmaras;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/232/1/012037/pdf
DOI  :  10.1088/1757-899X/232/1/012037

来源: IOP

【 摘 要 】

Nowadays the optimization using computational fluid dynamics (CFD) plays an important role in the design process of turbomachines. However, for the successful and productive optimization it is necessary to define a simulation model correctly and rationally. The article deals with the choice of a grid and computational domain parameters for optimization of centrifugal compressor impellers using computational fluid dynamics. Searching and applying optimal parameters of the grid model, the computational domain and solver settings allows engineers to carry out a high-accuracy modelling and to use computational capability effectively. The presented research was conducted using Numeca Fine/Turbo package with Spalart-Allmaras and Shear Stress Transport turbulence models. Two radial impellers was investigated: the high-pressure at ψT=0.71 and the low-pressure at ψT=0.43. The following parameters of the computational model were considered: the location of inlet and outlet boundaries, type of mesh topology, size of mesh and mesh parameter y+. Results of the investigation demonstrate that the choice of optimal parameters leads to the significant reduction of the computational time. Optimal parameters in comparison with non-optimal but visually similar parameters can reduce the calculation time up to 4 times. Besides, it is established that some parameters have a major impact on the result of modelling.