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.
High-speed planing craft generate complex local flows, including spray, free-surface deformation, and air ventilation behind steps, which complicate CFD-based resistance prediction. This study investigates three factors affecting resistance estimation: free-surface numerical diffusion, computational-domain confinement,...
Jun Sang Park, Moo Y. Lee, Sang-Bong Lee· Journal of Marine Science an...· 0 citations
Computational Fluid Dynamic (CFD) tools have revolutionized the way we design engineering systems. However, the prevalence of numerous established tools, each utilizing different development principles and validation strategies, has given rise to numerical inconsistencies that cast a shadow over their application. Di...
Chuanxiang Yan, F. Zhao, Bao-Tong Wang et al.· Journal of turbomachinery· 0 citations
High-order computational fluid dynamics (CFD) methods combined with actuator-based blade representations provide an attractive approach for simulating rotating energy systems. In this work, we develop a high-order computational framework that couples the flux reconstruction/correction procedure via reconstruction (FR/C...
To address the adverse effects of unsteady vortices and cavitation on propeller efficiency and navigational safety at high operating speeds, this study performed numerical simulations of cavitating flow around the marine propeller PC456 using an implicit large eddy simulation (LES) approach coupled with the boundary da...
Zhi-Yao Li, Yi-Jing Hu, Jie Chen et al.· The Physics of Fluids· 0 citations
The geometric definition of the engine nacelle plays a pivotal role in determining the aerodynamic efficiency of different propulsion systems as it controls the capture area, mass flow rate and external drag. The primary objective of this paper is to provide design optimization for nacelles with reduced mathematical co...