Numerical investigation of inlet section structure effect on wear characteristic of particle condition in centrifugal slurry pump by CFD-DEM coupling

Shi, Xiuwei; Ding, None Wujian; Xu, Chunjie; Xie, Fangwei; Tian, Zuzhi

doi:10.1080/02726351.2022.2151537

Cited by 6 publications

(3 citation statements)

References 23 publications

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“…The error between the experimentation and simulation results is less than 5%. Therefore, the CFD-DEM coupling model has high accuracy (Shi et al. , 2022).…”

Section: Resultsmentioning

confidence: 99%

“…As shown in Figure 3, Fluent Meshing is used for mesh division (Shi et al. , 2022), the core area is the hexahedral grid, the boundary area is poly grid.…”

Section: Numerical Simulationmentioning

confidence: 99%

“…As shown in Figure 3, Fluent Meshing is used for mesh division (Shi et al, 2022), the core area is the hexahedral grid, the boundary area is poly grid. As shown in Table 2, to eliminate the effect of meshing on simulation accuracy, 5 groups of grids were drawn, and the head and efficiency were calculated (Kumar et al, 2014).…”

Section: Meshing and Independence Verificationmentioning

confidence: 99%

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Numerical investigation of particle effect on wear characteristic of centrifugal slurry pump based on CFD-DEM coupling

Shi,

Ding,

et al. 2023

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PurposeIn the process of conveying the solid–liquid two-phase medium of the centrifugal slurry pump, the wear of the flow-passing parts is an important problem affecting its life and safe operation. Therefore, a numerical investigation on the wear characteristics of the centrifugal slurry pump under different particle conditions was conducted.Design/methodology/approachA solid-liquid two-phase model based on CFD-DEM coupling is established and used to analyze the flow field and the wear characteristics of the flow-passing parts with different particle densities, volume fractions and sizes.FindingsParticle conditions will affect the pump flow field. To analyze the pump wear characteristics, the wear distribution, wear value and cumulative force laws of flow-passing parts under different particle conditions are obtained. In each flow-passing part, with the increase of particle density, volume fraction and size, the wear area is concentrated and the wear depth increases. Under different particle conditions, the wear is mainly on the volute chamber and the blade pressure surface, and the tangential cumulative force of flow-passing parts is much larger than the normal cumulative force.Originality/valueAn accurate model and a coupled simulation method for predicting the wear of the slurry pump are obtained, and the wear characteristic law can provide a reference for the design of the slurry pump to reduce friction.

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“…The error between the experimentation and simulation results is less than 5%. Therefore, the CFD-DEM coupling model has high accuracy (Shi et al. , 2022).…”

Section: Resultsmentioning

confidence: 99%

“…As shown in Figure 3, Fluent Meshing is used for mesh division (Shi et al. , 2022), the core area is the hexahedral grid, the boundary area is poly grid.…”

Section: Numerical Simulationmentioning

confidence: 99%

Section: Meshing and Independence Verificationmentioning

confidence: 99%

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Numerical investigation of particle effect on wear characteristic of centrifugal slurry pump based on CFD-DEM coupling

Shi,

Ding,

et al. 2023

Self Cite

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Multi-objective optimization of concrete pumping S-pipe based on DEM and NSGA-II algorithm

Zhang,

Jiang,

et al. 2024

Powder Technology

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Multi-objective optimization design of a sewage pump based on non-dominated sorting genetic algorithm III

Ren,

Mo,

Yang

et al. 2024

Physics of Fluids

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Accumulation of sanitary refuse, such as flexible cloth-like structures or the so-called rags, inflows through sewage pumps are prone to tangling, ultimately leading to clogging and wear. To prevent this, the ability of sewage pumps to handle wet wipes, rags, and similar flexible materials is a key feature that must be considered as the pumps are designed. Therefore, this paper proposed a multi-objective optimization strategy based on the fluid–structure interaction simulation, Support Vector Regression (SVR), and non-dominated sorting genetic algorithm III (NSGA-III). First, the values of the optimization objectives were obtained by a Coupled Computational Fluid Dynamics-Discrete Element Method (CFD-DEM) approach. Then, SVR was utilized to establish an approximate model between the design variables and the optimization objectives. The NSGA-III was applied to search the Pareto front. Finally, the improved impeller model was selected by adopting technique for order preference by similarity to an ideal solution (TOPSIS) with entropy weight. The results show that the multi-objective optimization method is suitable for the optimization design of sewage pumps. Comparing the numerical calculations of the original pump and the optimized pump, the results show that the optimized head and efficiency increased by 9.7% and 7.13%, respectively. The optimized pump improves the passage rate of the rag and effectively improves the clogging behavior. The wear amount of the optimized pump is significantly reduced by 32.54%.

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Numerical investigation of inlet section structure effect on wear characteristic of particle condition in centrifugal slurry pump by CFD-DEM coupling

Cited by 6 publications

References 23 publications

Numerical investigation of particle effect on wear characteristic of centrifugal slurry pump based on CFD-DEM coupling

Numerical investigation of particle effect on wear characteristic of centrifugal slurry pump based on CFD-DEM coupling

Multi-objective optimization of concrete pumping S-pipe based on DEM and NSGA-II algorithm

Multi-objective optimization design of a sewage pump based on non-dominated sorting genetic algorithm III

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