Drag Model for Coupled CFD-DEM Simulations of Non-spherical Particles

Lohse, Rolf; Palzer, Ulrich

doi:10.1007/978-3-319-60846-4_9

Cited by 5 publications

(3 citation statements)

References 15 publications

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“…(2018), the force exerted on particles by the fluid phase F f,i consists of three interaction forces, namely, buoyancy F b , pressure gradient force F p , and drag force F d . The drag coefficient C d of multi‐sphere particles can be calculated as suggested by Lohse and Palzer (2019).…”

Section: Methodsmentioning

confidence: 99%

Method for calculating pressure losses in the pipelines of slurry shield tunneling based on coupled simulation of computational fluid dynamics and discrete element method

Yang

Guo

et al. 2023

Computer aided Civil Eng

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Hydraulic mucking/transport or slurry pipelining are widely used in dredging, trenching, (deep sea) mining, tunnel boring, and many other applications. Slurry pipelining during slurry shield tunneling is a classic instance of complex hydraulic mucking systems, which is characterized by the complex rheological behavior of the slurry and the inclusion of large and irregular particles. These characteristics make it difficult to estimate the pressure losses along slurry pipelines, compared to other hydraulic mucking systems. This study established a powerful method for predicting the pressure losses in long‐distance slurry pipelining of slurry shield tunneling based on computational fluid dynamics–discrete element method (CFD‐DEM)‐coupled simulations. Rheological tests were carried out to provide reliable slurry flow parameters for CFD calculations. Irregular pebbles with different sizes were digitally scanned using 3D scanning technology, and the scanned models were applied to the DEM. This method was successfully applied to a slurry shield tunnel project in Beijing, China. The mechanical properties of the fluid phase and particle phase were revealed by modeling a typical slurry pipeline. A comparison of the pressure losses along slurry pipelines was made between the proposed method and field data, indicating the validity of the established method. The simulation results indicate that when the slurry flows through the elbow, a secondary flow will be formed due to centrifugal force. Pebbles of different sizes show different motion responses under the combined action of gravity and slurry coupling force. The turbulent flow of particles will increase the frictional pressure losses in the elbow area, compared to the straight section. This work provides a valuable reference for the layout of the slurry circulation system of similar projects.

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Section: Methodsmentioning

confidence: 99%

Method for calculating pressure losses in the pipelines of slurry shield tunneling based on coupled simulation of computational fluid dynamics and discrete element method

Yang

Guo

et al. 2023

Computer aided Civil Eng

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“…In Equation (11), 𝜑 is the throwing start angle, which is the critical value for the vibration phase angle when the wet sand particles are thrown.…”

Section: Screening Simulation Modelmentioning

confidence: 99%

“…With the vigorous development of particle technology and computer science, the numerical simulation method has greatly improved the deficiencies and defects in screening experiments [8][9][10]. The screening research conducted using numerical simulation software not only reduces the cost but also can greatly improve work efficiency [11]. Dong presents a numerical study on the particle flow on a banana screen at the particle scale using the discrete element method (DEM) [12].…”

Section: Introductionmentioning

confidence: 99%

Study on Screening Parameter Optimization of Wet Sand and Gravel Particles Using the GWO-SVR Algorithm

et al. 2023

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The optimization of screening parameters will directly improve the screening performance of vibration screens, which has been a concern of the industry. In this work, the discrete element model of wet sand and gravel particles is established, and the vibration screening process is simulated using the discrete element method (DEM). The screening efficiency and time are used as evaluation indices, and the screening parameters including amplitude, vibration frequency, vibration direction angle, screen surface inclination, the long and short half-axis ratio of the track, feeding rate, and screen surface length are investigated. The results of an orthogonal experiment and range analysis show that the amplitude, screen surface inclination, and vibration frequency are significant factors affecting screening performance. Then, the support vector regression optimized with the grey wolf optimizer (GWO-SVR) algorithm is used to model the screening data. The screening model with excellent learning and prediction ability is obtained with the Gaussian kernel function setting. Moreover, the GWO-SVR algorithm is used to optimize the screening parameters, and the screening parameters with optimal screening efficiency and time are obtained. Furthermore, the effectiveness and reliability of the optimized model are verified using the discrete element calculation. The optimization strategy proposed in this work could provide guidance for the structural design of vibration screens and screening process optimization.

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CFD-DEM coupling with multi-sphere particles and application in predicting dynamic behaviors of drifting boats

et al. 2022

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Drag Model for Coupled CFD-DEM Simulations of Non-spherical Particles

Cited by 5 publications

References 15 publications

Method for calculating pressure losses in the pipelines of slurry shield tunneling based on coupled simulation of computational fluid dynamics and discrete element method

Method for calculating pressure losses in the pipelines of slurry shield tunneling based on coupled simulation of computational fluid dynamics and discrete element method

Study on Screening Parameter Optimization of Wet Sand and Gravel Particles Using the GWO-SVR Algorithm

CFD-DEM coupling with multi-sphere particles and application in predicting dynamic behaviors of drifting boats

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