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Article

Analytical Grid Generation Method for CFD Simulations in Rolling-Piston Compressors

1
Jiangxi Province Key Laboratory of Light Alloy, School of Advanced Manufacturing, Nanchang University, Nanchang 330031, China
2
Institute of Energy Futures, Centre for Sustainable Energy Use in Food Chains, Brunel University London, Uxbridge, Middlesex UB8 3PH, UK
3
Centre for Compressor Technology, City St George’s, University of London, 10 Northampton Square, London EC1V 0HB, UK
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Machines 2026, 14(9), 1071; https://doi.org/10.3390/machines14091071 (registering DOI)
Submission received: 24 August 2026 / Revised: 15 September 2026 / Accepted: 16 September 2026 / Published: 18 September 2026
(This article belongs to the Special Issue High-Performance Compressor Design, Model Analysis and Application)

Abstract

The adoption of advanced three-dimensional Computational Fluid Dynamics (CFD) tools for the research and design of Rolling-Piston Compressors (RPCs) is severely constrained by the absence of efficient and reliable grid generation methods. To address this issue, this paper proposes a novel analytical grid generation method for the rotor fluid domain of RPCs based on the User-Defined Nodal Displacement (UDND). This method splits the rotor fluid domain into a vane region, a transition region and a core region according to geometric characteristics. The number of circumferential nodes in each region is adaptively determined based on the mapped lengths of the corresponding inner and outer boundaries, while node number normalization is employed to ensure precise control of the total number of nodes. Numerical tests demonstrate that the proposed method can generate O-type structured meshes with consistent topology and adaptive node allocation over the entire range of rotor rotation angles. The proposed method was verified by reference indicated pressure measurements on a small-scale RPC for refrigeration and air-conditioning applications, yielding mean absolute percentage errors of 6.30% and 7.42% and maximum pointwise relative errors of 12.70% and 20.99% at 80 and 120 Hz, respectively. The proposed method reduces the preprocessing time required for a typical CFD model of the machine from approximately 48 h to only 54 s. The improved quality and robustness of the generated mesh enhance the stability and convergence behavior of the solver, thereby enabling the use of advanced physical models, such as the real-gas equation of state, in the design and analysis of RPCs. This paper presents a rapid and reliable meshing strategy for CFD simulations of RPCs.
Keywords: positive displacement machine; rolling piston compressor; analytical grid generation method; CFD positive displacement machine; rolling piston compressor; analytical grid generation method; CFD

Share and Cite

MDPI and ACS Style

Wang, J.; Liang, C.; Li, L.; Zhan, J.; Bianchi, G.; Rane, S.; Ye, F.; Zhang, Y. Analytical Grid Generation Method for CFD Simulations in Rolling-Piston Compressors. Machines 2026, 14, 1071. https://doi.org/10.3390/machines14091071

AMA Style

Wang J, Liang C, Li L, Zhan J, Bianchi G, Rane S, Ye F, Zhang Y. Analytical Grid Generation Method for CFD Simulations in Rolling-Piston Compressors. Machines. 2026; 14(9):1071. https://doi.org/10.3390/machines14091071

Chicago/Turabian Style

Wang, Junpeng, Chuang Liang, Lu Li, Jian Zhan, Giuseppe Bianchi, Sham Rane, Fanghua Ye, and Ying Zhang. 2026. "Analytical Grid Generation Method for CFD Simulations in Rolling-Piston Compressors" Machines 14, no. 9: 1071. https://doi.org/10.3390/machines14091071

APA Style

Wang, J., Liang, C., Li, L., Zhan, J., Bianchi, G., Rane, S., Ye, F., & Zhang, Y. (2026). Analytical Grid Generation Method for CFD Simulations in Rolling-Piston Compressors. Machines, 14(9), 1071. https://doi.org/10.3390/machines14091071

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