Academic literature on the topic 'MP-PIC numerical simulation'

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Journal articles on the topic "MP-PIC numerical simulation"

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Wargadalam, V. J., M. A. Andira, C. A. Putra, A. I. Siswantara, G. G. R. Gunadi, Hariyotejo, C. Damis, and Aminuddin. "Numerical Simulation of a Small-Scale Cyclone Separator using MP-PIC Method." IOP Conference Series: Materials Science and Engineering 694 (November 21, 2019): 012015. http://dx.doi.org/10.1088/1757-899x/694/1/012015.

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Berrouk, Abdallah S., Allen Huang, Shivkumar Bale, Priyanka Thampi, and Krishnaswamy Nandakumar. "Numerical simulation of a commercial FCC regenerator using Multiphase Particle-in-Cell methodology (MP-PIC)." Advanced Powder Technology 28, no. 11 (November 2017): 2947–60. http://dx.doi.org/10.1016/j.apt.2017.09.002.

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Betz, Michael, Hermann Nirschl, and Marco Gleiss. "Development of a New Solver to Model the Fish-Hook Effect in a Centrifugal Classifier." Minerals 11, no. 7 (June 22, 2021): 663. http://dx.doi.org/10.3390/min11070663.

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Centrifugal air classifiers are often used for classification of particle gas flows in the mineral industry and various other sectors. In this paper, a new solver based on the multiphase particle-in-cell (MP-PIC) method, which takes into account an interaction between particles, is presented. This makes it possible to investigate the flow process in the classifier in more detail, especially the influence of solid load on the flow profile and the fish-hook effect that sometimes occurs. Depending on the operating conditions, the fish-hook sometimes occurs in such apparatus and lead to a reduction in classification efficiency. Therefore, a better understanding and a representation of the fish-hook in numerical simulations is of great interest. The results of the simulation method are compared with results of previous simulation method, where particle–particle interactions are neglected. Moreover, a validation of the numerical simulations is carried out by comparing experimental data from a laboratory plant based on characteristic values such as pressure loss and classification efficiency. The comparison with experimental data shows that both methods provide similar good values for the classification efficiency d50; however, the fish-hook effect is only reproduced when particle-particle interaction is taken into account. The particle movement prove that the fish-hook effect is due to a strong concentration accumulation in the outer area of the classifier. These particle accumulations block the radial transport of fine particles into the classifier, which are then entrained by coarser particles into the coarse material.
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Dymala, Timo, Shen Wang, Kolja Jarolin, Tao Song, Laihong Shen, Maksym Dosta, and Stefan Heinrich. "MP-PIC Simulation of Biomass Steam Gasification Using Ilmenite as an Oxygen Carrier." Atmosphere 13, no. 7 (June 22, 2022): 1009. http://dx.doi.org/10.3390/atmos13071009.

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Biomass chemical looping gasification (BCLG) is a complex process for the conversion of biomass using an oxygen carrier, which is influenced by various operating parameters. For a better understanding of this process, biomass steam gasification using ilmenite as an oxygen carrier is numerically investigated in this work using the multiphase particle-in-cell (MP-PIC) method, which is a modified Euler–Lagrange approach. As a first step, a reduced reaction network for biomass gasification is investigated in a spouted bed. As a second step, the reaction network is coupled with oxygen carrier kinetics of ilmenite for the simulation of BCLG in a lab-scale fluidized bed. For both steps, the influence of the main operating parameters, such as reactor temperature, steam-to-biomass ratio, and oxidation degree of the oxygen carrier, are investigated and compared with experimental data from the literature. In general, the simulations show satisfying results and the predicted syngas compositions with varied operating parameters are in good agreement with the experimental data. Furthermore, the main trends for the syngas composition are predicted correctly and the oxidation degree of the oxygen carrier has a significant influence on the resulting syngas composition confirming the experimental results.
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Tokmurzin, D., and D. Adair. "Development of Euler-Lagrangian Simulation of a Circulating Fluidized Bed Reactor for Coal Gasification." Eurasian Chemico-Technological Journal, no. 1 (February 20, 2019): 45. http://dx.doi.org/10.18321/ectj789.

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A Computational Particle Fluid Dynamics (CPFD) model based on the Multiphase Particle in Cell (MP-PIC) approach is used for Shubarkol coal gasification simulation in an atmospheric circulating fluidized bed reactor. The simulation is developed on a basis of experimental data available from a biomass gasification process. The cross-section diameter of the reactor riser is 200 mm and the height is 6500 mm. The Euler-Lagrangian simulation is validated using experimental data available in the literature and also compared with an Euler-Euler simulation. The gasification reactions kinetics model is improved, and homogenous and heterogeneous chemistry are described by reduced-chemistry, with the reaction rates solved numerically using volume-averaged chemistry. The simulations reveal gas composition, temperature, and pressure interdependencies along the height of the reactor. The product gas composition compares well with the experiment and the temperature profile demonstrate good consistency with the experiment. The developed model is used for a case study of Shubarkol coal gasification in the circulating fluidized bed reactor.
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Yang, Chen, Haochuang Wu, Kangjie Deng, Hangxing He, and Li Sun. "Study on Powder Coke Combustion and Pollution Emission Characteristics of Fluidized Bed Boilers." Energies 12, no. 8 (April 13, 2019): 1424. http://dx.doi.org/10.3390/en12081424.

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The fluidized reactor is widely used in a number of chemical processes due to its high gas-particle contacting efficiency and excellent performance on solid mixing. An improved numerical framework based on the multiphase particle-in-cell (MP-PIC) method has been developed to simulate the processes of gas–solid flow and chemical reactions in a fluidized bed. Experiments have been carried out with a 3-MW circulating fluidized bed with a height of 24.5 m and a cross section of 1 m2. In order to obtain the relationship between pollutant discharge and operating conditions and to better guide the operation of the power plant, a series of tests and simulations were carried out. The distributions of temperature and gas concentration along the furnace from simulations achieved good accuracy compared with experimental data, indicating that this numerical framework is suitable for solving complex gas–solid flow and reactions in fluidized bed reactors. Through a series of experiments, the factors affecting the concentration of NOx and SOx emissions during the steady-state combustion of the normal temperature of powder coke were obtained, which provided some future guidance for the operation of a power plant burning the same kind of fuel.
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Mao, Shaowen, Junsheng Zeng, Kan Wu, and Dongxiao Zhang. "Lagrangian Numerical Simulation of Proppant Transport in Channel Fracturing." SPE Journal, November 1, 2022, 1–18. http://dx.doi.org/10.2118/212828-pa.

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Summary This paper focuses on the numerical simulation of particle (“proppant”) transport in channel fracturing, in which fiber-proppant fluid is pumped intermittently into hydraulic fractures, alternated with clean fluid pulses. The pulsed pumping protocol leads to heterogeneous/channelized proppant distribution in fractures, generating open flow channels with high conductivity. To understand the evolution of the channelized proppant distribution, we develop an efficient pseudo-3D multiphase particle-in-cell (P3D MP-PIC) method to simulate the proppant transport during the pumping process. Compared with the Eulerian-Eulerian (EE) models, the MP-PIC approach has higher accuracy in modeling particle-fluid and particle-particle interactions by tracing the particles in a Lagrangian fashion. Compared with the computational fluid dynamics-discrete element method (CFD-DEM), the MP-PIC method is more computationally efficient due to a parcel feature and the fast calculation of particle forces. Reduced from the 3D MP-PIC method, the P3D MP-PIC method has better computational efficiency and flexibility to couple with other subsurface processes (e.g., fracture propagation and fluid leakoff) while also achieving sufficient accuracy for engineering purposes. Due to the Eulerian-Lagrangian (EL) nature, the P3D MP-PIC method can track the trajectories of the fiber-proppant clusters whose effective viscosity and the settling velocity are determined based on the laboratory results. With an accurate description of fluid and particle dynamics, this work reveals the critical physical mechanisms of the proppant transport in channel fracturing: stable displacement and Saffman-Taylor (ST) instability. The alternate occurrence of these two mechanisms gives rise to the channelized proppant distribution. To investigate the influential factors of the channel patterns, we conduct parametric studies on the operational parameters, including injection rate, fiber concentration, and pulsing mode. The effect of fracture propagation and gravitational settling is also discussed in detail.
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Sung, Hyung-Gun, Jin-Sung Jang, and Tae-Seong Roh. "Application of Eulerian–Lagrangian Approach to Gas-Solid Flows in Interior Ballistics." Journal of Applied Mechanics 80, no. 3 (April 19, 2013). http://dx.doi.org/10.1115/1.4023317.

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In a gun system, polydisperse phenomenon may occur due to the local combustion by an igniter system during the firing process. The Eulerian–Eulerian approach still lacks the capability of describing particle mixing under given conditions. A detailed insight of the interior ballistics must be predicted for the better safety and the lower cost at the development stage. The multiphase particle in cell (MP-PIC) model based on the Eulerian–Lagrangian approach, known to be more efficient than the conventional Eulerian–Lagrangian approach, has been initially applied for the simulation of the interior ballistics. A good efficiency with the MP-PIC model has been obtained in terms of the computational cost. The axisymmetric numerical code with the MP-PIC model has been developed for two-dimensional analysis of the interior ballistics. As part of the verification process for the code, several test computations have been performed: sod shock tube, free piston motion problem, and virtual gun calculated by IBHVG2 code. The code has become reliable with well-agreed results with the comparison data. Additionally, a numerical model for the orifices to describe the vent holes of the igniter on the coarse grid has been developed with the lumped parameter method used in the IBHVG2. Based on the model, the pressure behavior in the gun chamber according to the igniter length has been investigated. The computational results have shown that the negative differential pressure occurs clearly when the igniter is sufficiently short.
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Cho, Inhyeok, Changwon Yang, Hyunmin Kwon, Byeongyeol Bang, Soohwa Jeong, and Uendo Lee. "Numerical simulation method of a circulating fluidized bed reactor using a modified MP-PIC solver of OpenFOAM." Powder Technology, August 2022, 117815. http://dx.doi.org/10.1016/j.powtec.2022.117815.

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Zeng, Junsheng, Heng Li, Sanbai Li, and Dongxiao Zhang. "Evaluating the Transport Performance of Novel-Shaped Proppant in Slickwater Fracturing with the Multiscale Modeling Framework." SPE Journal, March 1, 2022, 1–16. http://dx.doi.org/10.2118/209583-pa.

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Summary Recently, novel-shaped proppant, such as rod-shaped and x-shaped proppant, has been gradually used in hydraulic fracturing systems, which challenges the validity of previous transport laws for conventional spherical proppant. In this work, a multiscale modeling framework is proposed to solve this issue. We start from constructing particle-scale laws, including proppant settling, phase-slip, and effective slurry viscosity, based on a refined particle-resolved direct numerical simulation method, that is, the immersed boundary-computational fluid dynamics-discrete element method (IB-CFD-DEM). With this refined simulation method, particle-scale flow details are fully resolved, and accurate particle-scale laws can be reconstructed for novel-shaped proppant. These sub-scale laws are then applied to a field-scale simulation method, that is, the multiphase particle-in-cell (MP-PIC) method. Based on the proposed framework, transport performance of various types of proppant are investigated. Several numerical experiments demonstrate that proppant transport performance can be enhanced by 19 and 15% with x-shaped and rod-shaped proppant, respectively, compared to conventional spherical proppant under 5% inlet proppant concentration and enhanced by 16 and 10%, respectively, under 20% inlet proppant concentration. Moreover, related complicated flow mechanisms at different scales, such as the hindered effect and viscous gravity current effect, are fully discussed, which deepens our understanding of proppant transport and proppant placement.
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Conference papers on the topic "MP-PIC numerical simulation"

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Snider, Dale, Ken Williams, and Robert A. Johnson. "Multiphase Particle-in-Cell Simulations of Dense-Phase Flows in Cyclone Separators." In ASME 2004 Heat Transfer/Fluids Engineering Summer Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/ht-fed2004-56665.

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An Eulerian-Lagrangian numerical method is used to simulate the cyclone separator experiment by Hoffmann [1] which is operated under low solid loadings. Comparisons are made with data from for overall separation efficiency and on a size-distribution basis, i.e., ‘cut-grade’. The Arena-flow computational approach is a transient, three-dimensional multiphase particle-in-cell (MP-PIC) numerical method where the dynamics of both the continuum fluid and millions of discrete particle ‘clouds’ are solved using Eulerian and Lagrangian representations, respectively. The Arena-flow software allows for any distribution of particle types, sizes, and density. The three-dimensional transient simulations show excellent agreement with measured data which have cyclone efficiencies on the order of 85%. The CFD analysis reveal details that cannot be experimentally measured, such as internal particle size segregation, wall effects, vortex entrainment, particle-to-particle interactions and agglomeration.
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Williams, K. A., D. M. Snider, J. R. Torczynski, S. M. Trujillo, and T. J. O’Hern. "Multiphase Particle-in-Cell Simulations of Flow in a Gas-Solid Riser." In ASME 2004 Heat Transfer/Fluids Engineering Summer Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/ht-fed2004-56594.

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The commercial computational fluid dynamics (CFD) code Arena-flow is used to simulate the transient, three-dimensional flow in a gas-solid riser at Sandia National Laboratories. Arena-flow uses a multiphase particle-in-cell (MP-PIC) numerical method. The gas flow is treated in an Eulerian manner, and the particle flow is represented in a Lagrangian manner by large numbers of discrete particle clouds with distributions of particle properties. Simulations are performed using the experimental values of the gas superficial velocity and the solids mass flux in the riser. Fluid catalytic cracking (FCC) particles are investigated. The experimental and computed pressure and solid-volume-fraction distributions are compared and found to be in reasonable agreement although the experimental results exhibit more variation along the height of the riser than the computational results do. An extensive study is performed to assess the sensitivity of the computational results to a wide range of physical and numerical parameters. The computational results are seen to be robust. Thus, the uncertainties in these parameters cannot account for the differences between the experimental and computational results.
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