Particuology最新文献_第6页

Impact of pressure on gas-solid hydrodynamics of Geldart B and D particles in a pressurized bubbling fluidized bed: A CFD-DEM study

IF 4.1 2区材料科学 Q2 ENGINEERING, CHEMICAL

Particuology

Pub Date : 2025-01-01 DOI: 10.1016/j.partic.2024.11.016

Xiaoli Zhu , Zhixin Shi , Guosheng Song , Yuehuan Li , Haigang Wang , Raffaella Ocone , Zhenbo Wang

Pressurized fluidized beds have gained considerable interest in industrial applications due to their superior performance and efficiency compared to atmospheric fluidized beds. However, the mechanisms through which pressure influences the hydrodynamic behavior of different particle types remain insufficiently explored, hindering the scale-up, optimization, and broader adoption of this technology. To address this gap, CFD-DEM simulations were performed on a pseudo-2D pressurized bubbling fluidized bed using Geldart B and D particles. The effects of pressure, particle size, and initial bed height on key flow characteristics, including minimum fluidization velocity, particle dynamics (i.e., particle velocity and volume fraction distribution), and bubble behavior (i.e., bubble diameter, aspect ratio, density) were comprehensively examined. Results showed that the minimum fluidization velocity decreases with increasing pressure and increases with particle size, with greater sensitivity at lower pressures. Higher pressures lead to smaller bubble diameters, higher bubble aspect ratios, and denser bubble populations, resulting in concentrated particle distribution in the lower bed and more uniform radial dispersion. In contrast, larger particles create fewer, larger bubbles or slugs, and increase the overall bed height. These high-fidelity simulations offer valuable insights for optimizing the performance of pressurized fluidized beds in industrial processes.

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引用次数: 0

Morphological observation and mineralogical analysis of basaltic debris from a Chang'e-5 drilled lunar soil sample

IF 4.1 2区材料科学 Q2 ENGINEERING, CHEMICAL

Particuology

Pub Date : 2025-01-01 DOI: 10.1016/j.partic.2024.11.003

Hongtao Cao , Meng Zou , Wei Zhang , Xinyang Li , Rui Zhang , Qing Liang , Zhenzhen Zhao , Dengman Feng , Zizhun Wang , Nailin Yue , Xicheng Li , Fangfei Li , Qiang Zhou , Li Liu , Xiujuan Li

This paper analyzes the morphological characteristics and mineralogy of drilled basaltic clast sample CE5Z0806YJYX004, compares the variations in Chang'e-5 samples at different depths, and conducts a comparative analysis with surface-collected samples from Chang'e-5 and Apollo missions. Interestingly, Advanced electron microscopy identified bubbles and microcracks on the surface of some constituting mineral particles, and also displays crystalline particles with distinct rock textures and spherical droplets, revealing surface phenomena formed by space weathering. Based on Raman spectroscopy analysis, the main mineral phases were identified as 49.6 vol% pyroxene, 31.4 vol% plagioclase and 8.8 vol% olivine. Apatite, ilmenite and cristobalite are also found. The results indicate that the Chang'e-5 lunar soil exhibits similar mineral compositions at different depths. In short, a comparison was made between our drilling sample and the Chang'e-5 soil samples as well as samples from the Apollo mission series, demonstrating the physical similarities and some variations.

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引用次数: 0

CFD-DEM investigation on effects of particle size distribution and gas temperature on minimum fluidization velocity of pyrites

IF 4.1 2区材料科学 Q2 ENGINEERING, CHEMICAL

Particuology

Pub Date : 2025-01-01 DOI: 10.1016/j.partic.2024.11.009

Wei Long , Jingbo Ji , Wei Zeng , Zhiming Han , Hao Zhang , Xizhong An , Shengqiang Jiang

The multiphase reactive flow behavior of pyrites in fluidized roasters is closely related to particle size distribution (PSD) and gas temperature. The coupled computational fluid dynamics-discrete element method (CFD-DEM) is used to stress the effect of PSD and gas temperature on the minimum fluidization velocity (U_mf). Firstly, the accuracy of the model is verified via the previously well-established correlations. Then, the influence of four types of PSD (Gaussian-type, Mono-type, Flat-type and Binary-type) and three temperatures on U_mf is explored. Numerical results show that the U_mf for the Flat-type PSD is the smallest among the four while the one for the Mono-type PSD is the largest. The minimum fluidization velocities for the Mono-type and Gaussian-type PSD share quite similar values. With the same PSD, increasing the gas temperature results in a decrease in the minimum fluidization velocity. Finally, predictive correlations for the minimum fluidization velocity of the gas-solid fluidized bed reactors are established based on the numerical results.

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引用次数: 0

Numerical study on the settlement of two parallel spherical particles in upward ﬂow

IF 4.1 2区材料科学 Q2 ENGINEERING, CHEMICAL

Particuology

Pub Date : 2025-01-01 DOI: 10.1016/j.partic.2024.11.001

Xiwang Sun, Zhe Lin, Linmin Li, Zuchao Zhu

The settling of particles in fluid flows is a common occurrence in various industrial processes. Investigating the interactions between particles and fluid during settling holds significant importance. This article presents a numerical study of the settling process involving two parallel particles in upward flow, employing the immersed boundary method (IBM). The simulation data were validated using experimental results for single spherical particle settlement, two parallel spherical particles settlement, and the settlement of two series of spherical particles. A comparative analysis was conducted between particle settling in upward flow and static fluid. The study explores the impact of different upward velocities and initial particle spacing on particle settling. Results indicate that the wake generated by the two parallel particles in upward flow forms a distinct boundary with the surrounding fluid. As the upward velocity increases, this boundary becomes increasingly observable. In comparison to settling in static flow, the repulsive effect between two parallel particles in upward flow is stronger, and the settling velocity of particles is smaller. Furthermore, the study reveals that the repulsion between two particles diminishes rapidly with an increase in the initial spacing, but the final settling velocity of particles remains nearly constant.

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引用次数: 0

From shape to behavior: A synthesis of non-spherical particle dynamics in air

IF 4.1 2区材料科学 Q2 ENGINEERING, CHEMICAL

Particuology

Pub Date : 2025-01-01 DOI: 10.1016/j.partic.2024.11.005

Lipeng Lv , Bin Zhao

Particles suspended in air are often non-spherical shapes, giving rise to shape-dependent complex dynamical processes. Suspended non-spherical particles are associated with a wide array of engineering and scientific scenarios, embodying both their microscopic and macroscopic dynamical behaviors. A comprehensive understanding of the dynamical behaviors of non-spherical particles in air hinges on the accurate identification and description of particle shape, the development of shape-specific models for the forces and torques acting on these particles, and the subsequent micro- and macroscopic phenomena that emerge as a result. This review surveys the latest advancements in the field of non-spherical particles, spanning from shape identification to the characterization of their dynamical properties. An emphasis is placed on establishing a connection between the micro- and macroscopic dynamical behaviors of non-spherical particles. The shape-induced features encompass periodic rotation and preferential orientation, which result in an oscillating migration path and lead to distinctive macroscopic characteristics. The macroscopic features of non-spherical particles are elucidated based on the preceding analysis of forces, torques, and particle-flow interactions. The future perspectives are also discussed in this review.

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引用次数: 0

Correlation of 2D and 3D particle properties with simulated particle imaging dataset

IF 4.1 2区材料科学 Q2 ENGINEERING, CHEMICAL

Particuology

Pub Date : 2025-01-01 DOI: 10.1016/j.partic.2024.10.008

Thomas Buchwald, Ralf Ditscherlein, Urs A. Peuker

Particle size and shape characteristics are commonly measured with two-dimensional (2D) imaging techniques, two of which are static or dynamic imaging techniques. These 2D particle characteristics need to be applied to particulate processes where they model three-dimensional (3D) processes. The correlation between 2D and 3D particle characteristics is therefore necessary, but the knowledge is still limited to either mathematically simple shapes or specific sets of investigated bulk solids.

A particle dataset consisting of six bulk solids measured with X-ray microscopy was used to simulate the results of 2D imaging techniques to create a dataset to test the correlation between sets of particle characteristics. The dataset thus created offers the possibility to study the correlation between characteristic values and robustly predict the 3D properties of bulk solids measured with 2D measurement techniques.

Several correlations are determined. These include predictive equations for Wadell's sphericity (3D) from 2D shape factors and particle width (3D) from Feret diameters (2D). The correlations have been validated with dynamic image analysis measurements. The correlations allow the practitioner in principle to predict particle sphericity and sieve size distribution from dynamic image analysis for compact particles.

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引用次数: 0

Physics informed neural network model for multi-particle interaction forces 多粒子相互作用力的物理信息神经网络模型

IF 4.1 2区材料科学 Q2 ENGINEERING, CHEMICAL

Particuology

Pub Date : 2024-11-22 DOI: 10.1016/j.partic.2024.11.002

Yuanye Zhou , Hongqiang Wang , Borun Wu , LiGe Wang , Xizhong Chen

The discrete element method (DEM) model calculates interaction forces between each pair of particles. However, it becomes computational expensive especially when the number of particles is large. In this study, a novel artificial neural network (ANN) model is proposed to replace the model of interaction forces between multiple particles in DEM including contact force and electrostatic force. The ANN model combines the residual network (ResNet) with the physics informed neural network (PINN). The physical loss term is derived from the Newton's third law about internal forces in multi-particle system. The performance of the ANN model is evaluated based on the DEM simulation data of 100, 200, and 300-particle system in a wall-bounded 2D swirling flow. It is found that the computing time is reduced nearly an order of magnitude (7–10 times) compared with the DEM model. In addition, the accuracy of the ANN model achieves the

R^{2} > 0.93

with only

\leq 2 %

particles are not well predicted.

离散元法（DEM）模型计算每对粒子之间的相互作用力。然而，当粒子数量很大时，它的计算成本很高。本文提出了一种新的人工神经网络（ANN）模型来取代DEM中包含接触力和静电力的多粒子相互作用力模型。该模型将残差网络（ResNet）与物理通知神经网络（PINN）相结合。物理损失项由多粒子系统的牛顿第三定律推导而来。基于基于100、200和300粒子系统的二维有壁旋流DEM模拟数据，对人工神经网络模型的性能进行了评价。与DEM模型相比，计算时间缩短了近一个数量级（7-10倍）。此外，人工神经网络模型的准确率达到R2>；0.93，只有≤2%的粒子不能很好地预测。

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引用次数: 0

Numerical simulation on characteristics of hydrodynamics, interphase and wall to bed heat transfer in a pseudo 2D spouted bed using supercritical CO2 as fluidizing agent 以超临界CO2为流化剂的伪二维喷流床流体力学、界面传热及壁面传热特性的数值模拟

IF 4.1 2区材料科学 Q2 ENGINEERING, CHEMICAL

Particuology

Pub Date : 2024-11-15 DOI: 10.1016/j.partic.2024.10.019

Kun Jiang, Hui Jin

By employing the Eulerian-Eulerian Two Fluid Model, the effect of different particle size, supercritical CO₂ (scCO₂) velocity at slit jet (U_jet) and initial bed height on the macroscopic characteristics (i.e., fountain morphology, profiles of particle velocity, momentum transfer characteristics among particles, transient temperature evolutions of particles, interphase heat transfer coefficient and wall to bed heat transfer characteristics) in the pseudo 2D rectangular spouted bed using scCO₂ as fluidizing agent is numerically studied in detail herein. Considering there are currently no relevant visualized experiments reported using scCO₂ as a fluidized agent due to the extreme operating pressure of CO₂ (25 MPa in this paper) under supercritical conditions, present numerical model was validated with experimental data by using air as the fluidizing agent, confirming simulated instantaneous volume fraction distribution of air and transient temperature evolutions of particles basically consistent with the experiments. Numerical results reveal some of the internal relations among hydrodynamics characteristics in bed, momentum transfer characteristics among particles and relevant heat transfer behaviours. Results show larger U_jet and smaller particle size will accelerate the particles' translational motion in spout, spout core and fountain core zone. Larger particle concentration will promote inter-particle collisions while suppress the kinetic motion of particles in above zones. Decrease the particle size will enhance interphase convective heat transfer coefficient, while increasing U_jet results insignificant impacts. Finally, we also observe the transition zone between annular and periphery zone has a certain enhancing effect on the wall to bed heat transfer coefficient.

采用Eulerian-Eulerian双流体模型，研究了不同粒径、裂隙射流超临界CO2 （scCO2）速度（Ujet）和初始床层高度对喷泉形态、颗粒速度分布、颗粒间动量传递特性、颗粒瞬态温度演化等宏观特征的影响。本文对以scCO2为流化剂的伪二维矩形喷淋床的相间换热系数和壁床换热特性进行了数值研究。考虑到超临界条件下CO2的极端工作压力（本文为25 MPa），目前还没有以scCO2为流化剂的相关可视化实验报道，本文以空气为流化剂，用实验数据验证了本文的数值模型，模拟的空气瞬时体积分数分布和颗粒瞬态温度演变与实验基本一致。数值结果揭示了床层流体力学特性、颗粒间动量传递特性和相关传热行为之间的内在联系。结果表明，较大的Ujet和较小的粒径会加速颗粒在喷口、喷口核心和喷口核心区域的平移运动。较大的颗粒浓度会促进颗粒间的碰撞，同时抑制上述区域颗粒的动力学运动。减小颗粒尺寸会提高相间对流换热系数，而增大Ujet对相间对流换热系数影响不显著。最后，我们还观察到环形和外围区之间的过渡区对壁面到床层的换热系数有一定的增强作用。

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引用次数: 0

Research on discrete element parameter calibration of ore particles based on Tavares breakage model in a SAG mill 基于塔瓦雷斯破碎模型的 SAG 磨机矿石颗粒离散元素参数校准研究

IF 4.1 2区材料科学 Q2 ENGINEERING, CHEMICAL

Particuology

Pub Date : 2024-11-10 DOI: 10.1016/j.partic.2024.10.017

Ming Bao, Wanrong Wu, Guangtian Tian, Binghui Qiu

Accurately simulating the crushing process of ore particles in a semi-autogenous grinding mill (SAG mill) is quite challenging. This study utilizes the discrete element method (DEM) to construct a breakage model for ore particles. Calibration of the discrete element basic parameters and Tavares breakage model parameters is conducted based on angle of repose (AoR) tests and single-particle impact tests. 3D scanning is employed to capture the morphology of the ore for particle modeling. On this basis, a discrete element breakage model for ore particles is built for single-particle impact simulations and validated through testing to determine the calibrated model parameters. The results indicate that the AoR angles and stacking shapes from the simulation and tests are highly similar, with a relative error of about 0.19%. The similarity in crushing outcomes and quantitative values between single-particle impact simulations and tests preliminary validates the reliability of the calibration method and the applicability of the Tavares breakage model, successfully determining a group of model parameters suitable for simulating ore particle crushing processes. This study lays the groundwork for utilizing DEM to simulate the visualization of ore particle crushing.

精确模拟矿石颗粒在半自磨机（SAG 磨机）中的破碎过程具有相当大的挑战性。本研究利用离散元素法（DEM）构建了矿石颗粒的破碎模型。离散元基本参数和塔瓦雷斯破碎模型参数的校准是基于静止角（AoR）试验和单颗粒冲击试验进行的。采用三维扫描捕捉矿石的形态，以建立颗粒模型。在此基础上，建立了用于单颗粒冲击模拟的矿石颗粒离散元素破碎模型，并通过测试进行验证，以确定校准模型参数。结果表明，模拟和试验得出的 AoR 角和堆积形状高度相似，相对误差约为 0.19%。单颗粒冲击模拟和试验在破碎结果和定量值上的相似性初步验证了校准方法的可靠性和塔瓦雷斯破碎模型的适用性，成功确定了一组适合模拟矿石颗粒破碎过程的模型参数。这项研究为利用 DEM 模拟矿石颗粒破碎的可视化奠定了基础。

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引用次数: 0

Optimization of batch cooling crystallization systems considering crystal growth, nucleation and dissolution. Part I: Simulation 考虑晶体生长、成核和溶解的批量冷却结晶系统优化。第一部分：模拟

IF 4.1 2区材料科学 Q2 ENGINEERING, CHEMICAL

Particuology

Pub Date : 2024-11-09 DOI: 10.1016/j.partic.2024.10.018

Qilei Xu , Bin Lian , Yan Long , Baoming Shan , Xuezhong Wang , Fangkun Zhang

Optimal control of batch crystallization systems is still a focus and hot topic in the field of industrial crystallization, which seriously affects the consistency of batch product quality. In this paper, a new method with a new objective function and improved optimization algorithm was proposed for optimization of crystal size distribution (CSD) in case of fine crystals occurrence. The new objective function was developed with better margin metric and weighting technique to minimize fine crystal mass, meanwhile, a newly constructed sinusoidal weight function was introduced to improve the particle swarm optimization (PSO) algorithm. A precise control of CSD with suppressed numerical discrepancy caused by fine crystals removal was developed by combining seed recipe and temperature-swing. In addition, the effects of temperature curve segments on CSD during process optimization were systematically investigated to achieve optimal results. Two typical batch cooling crystallization systems were used to verify the effectiveness of the proposed method in controlling product CSD while minimizing fine crystal mass. Results demonstrated that the desired product CSD can be achieved with minor errors while the fine crystals could be shrunk to be negligible, i.e., the fine crystal mass and number can be reduced by over 90%. This work has an important guiding significance for the removal of fine crystals in industrial crystallization processes, especially when only operational optimization rather than equipment updating is considered.

批量结晶系统的优化控制仍然是工业结晶领域的焦点和热点话题，它严重影响着批量产品质量的一致性。本文提出了一种具有新目标函数和改进优化算法的新方法，用于在出现细小晶体的情况下优化晶体尺寸分布（CSD）。新的目标函数采用了更好的余量指标和加权技术，以最小化细晶质量，同时引入了新构建的正弦加权函数，以改进粒子群优化（PSO）算法。通过结合种子配方和温度摆动，开发了一种精确控制 CSD 的方法，抑制了细晶去除引起的数值偏差。此外，还系统地研究了工艺优化过程中温度曲线段对 CSD 的影响，以获得最佳结果。使用两个典型的批量冷却结晶系统来验证所提出的方法在控制产品 CSD 同时最大限度减少细晶质量方面的有效性。结果表明，在微小误差的情况下就能达到所需的产品 CSD，而细小晶体则可缩小到忽略不计，即细小晶体的质量和数量可减少 90% 以上。这项工作对于在工业结晶过程中去除细小晶体具有重要的指导意义，尤其是在只考虑操作优化而不是设备更新的情况下。

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引用次数: 0