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Inter-aggregate mixing in hetero-aggregates formulated in opposed jets fluidized bed 异集料在反向射流流化床中的混炼
IF 4.3 2区 材料科学 Q2 ENGINEERING, CHEMICAL Pub Date : 2025-11-03 DOI: 10.1016/j.partic.2025.10.016
Raul Favaro Nascimento , Jialin Men , Mohammed Ubaid , Björn Düsenberg , Jochen Schmidt , Andreas Bück
The mixing quality in nanoparticulate systems plays a fundamental role in the functional enhancement of advanced materials. In this study, we evaluate the effectiveness of mixing TiO2 (rutile) and ZrO2 (monoclinic) nanopowders using Raman mapping and energy-dispersive X-ray (EDX) spectroscopy within a scanning electron microscope (SEM). Eighteen experiments were carried out in an opposed jet fluidized bed, varying process time, mass ratio, and Laval nozzle back pressure. Raman mapping enabled spatially resolved identification of phases, while SEM/EDX provided high-resolution elemental composition. Both techniques indicated good overall inter-aggregate mixing efficiency, especially at a mass ratio of 1:1, with average Ti atomic fractions close to 0.607. Quantitative comparison showed that Raman micro spectroscopy yielded lower relative deviations from the expected values and required simpler sample preparation, making it a practical choice for assessing mixing homogeneity. Deviations from the expected compositions were more pronounced at other mass ratios (especially 1:2), likely owing to differences in particle size, density, and aggregation tendencies. Finally, in contrast to previous intra-aggregate mixing studies, the current results suggest that inter-aggregate composition tends to stabilize near equimolar proportions regardless of the initial mass ratio, highlighting self-regulating behavior at the macro scale.
纳米颗粒系统的混合质量对先进材料的功能增强起着至关重要的作用。在这项研究中,我们在扫描电子显微镜(SEM)下使用拉曼映射和能量色散x射线(EDX)光谱评估了TiO2(金红石)和ZrO2(单斜)纳米粉末混合的有效性。在不同的工艺时间、质量比和拉瓦尔喷嘴背压条件下,在对置射流流化床中进行了18次实验。拉曼映射实现了空间分辨的相识别,而SEM/EDX提供了高分辨率的元素组成。两种技术均表现出良好的整体团间混合效率,特别是在质量比为1:1时,平均Ti原子分数接近0.607。定量比较表明,拉曼光谱法与期望值的相对偏差较小,样品制备简单,是评价混合均匀性的实用选择。在其他质量比(尤其是1:2)下,与预期成分的偏差更为明显,可能是由于颗粒大小、密度和聚集趋势的差异。最后,与以往的骨料内混合研究相比,当前的研究结果表明,无论初始质量比如何,骨料间组成倾向于稳定在等摩尔比附近,突出了宏观尺度上的自我调节行为。
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引用次数: 0
Gaussian integral method for void fraction 空隙分数的高斯积分法
IF 4.3 2区 材料科学 Q2 ENGINEERING, CHEMICAL Pub Date : 2025-11-01 DOI: 10.1016/j.partic.2025.10.014
Alireza Kianimoqadam, Justin Lapp
A novel method, the Gaussian Integral Method (GIM), is presented for calculating void fractions in Computational Fluid Dynamics–Discrete Element Method (CFD-DEM) simulations. GIM is versatile and applicable to various grid types, including structured and unstructured polyhedral meshes, without requiring special boundary treatments. An optimization technique is introduced to make GIM independent of grid resolution and type. The method is validated against experimental data from a fluidized bed, demonstrating that GIM produces realistic simulations closely resembling experimental observations. Additionally, unstructured polyhedral grids using GIM outperform structured grids of equivalent resolution, yielding results more aligned with experimental data. The gradient of the void fraction is computed in the CFD solver and utilized in the DEM solver for precise estimation at particle locations. Overall, GIM provides an effective solution for void fraction calculations in particulate media simulations with complex geometries, enhancing the accuracy and applicability of CFD-DEM simulations for industrial processes.
提出了一种计算流体力学离散元法(CFD-DEM)模拟中空隙分数的新方法——高斯积分法(GIM)。GIM是通用的,适用于各种网格类型,包括结构化和非结构化多面体网格,不需要特殊的边界处理。引入了一种优化技术,使GIM与网格分辨率和类型无关。该方法与流化床的实验数据进行了验证,表明GIM产生了与实验观察结果非常相似的真实模拟。此外,使用GIM的非结构化多面体网格优于同等分辨率的结构化网格,产生的结果更符合实验数据。在CFD求解器中计算空隙率的梯度,并在DEM求解器中进行粒子位置的精确估计。总体而言,GIM为具有复杂几何形状的颗粒介质模拟中的空隙率计算提供了有效的解决方案,提高了CFD-DEM模拟工业过程的准确性和适用性。
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引用次数: 0
Development of staged fluidized-bed gasification systems in Japan: Advances and prospects 日本阶段流化床气化系统的发展:进展与展望
IF 4.3 2区 材料科学 Q2 ENGINEERING, CHEMICAL Pub Date : 2025-11-01 DOI: 10.1016/j.partic.2025.10.019
Lianfeng Zhu , Xiaowen Zhou , Yushani Alahakoon , Chao Wang , Guangwen Xu , Abuliti Abudula , Guoqing Guan
With the increasing imperative for carbon neutrality, gasification of carbon-based resources such as low-rank coal and/or biomass using fluidized-bed reactors has emerged as a pivotal process for generating clean syngas and hydrogen. However, conventional single-fluidized-bed reactors are limited by serious tar formation and low efficiency, which has motivated the development of staged systems that physically separate pyrolysis, gasification, and combustion. Japan has played a pioneering role in advancing dual fluidized bed (DFB) and triple-bed circulating fluidized bed (TBCFB) technologies, emphasizing reaction decoupling, thermal management, and process intensification. Unlike developments in other regions, Japanese research is characterized by the systematic integration of fundamental hydrodynamic studies, pilot-scale validation, and engineering innovations tailored to the nation's energy context. This review summarizes the theoretical foundations, hydrodynamic studies, pilot-scale demonstrations, and recent engineering innovations, including CO2-assisted gasification, and new cyclone pyrolyzers, developed in Japan. Despite the challenges associated with scale-up and system complexity, staged gasification has been demonstrated to offer distinct advantages in terms of syngas quality, tar suppression, and feedstock adaptability. The future of this field lies in decentralized, small-scale distributed systems integrated with the combined heat and power, in alignment with Japan's carbon neutrality roadmap and providing global insights into sustainable low-rank coal and biomass utilizations.
随着碳中和的日益迫切,使用流化床反应器气化低阶煤和/或生物质等碳基资源已成为产生清洁合成气和氢气的关键过程。然而,传统的单流化床反应器受到严重的焦油形成和低效率的限制,这促使了热解、气化和燃烧物理分离的分级系统的发展。日本在推进双流化床(DFB)和三床循环流化床(TBCFB)技术方面发挥了先锋作用,强调反应解耦、热管理和过程强化。与其他地区的发展不同,日本研究的特点是系统地整合了基础流体动力学研究、中试规模验证和针对国家能源环境的工程创新。本文综述了理论基础、流体动力学研究、中试示范和最近的工程创新,包括日本开发的二氧化碳辅助气化和新型旋风热解装置。尽管存在规模扩大和系统复杂性方面的挑战,但在合成气质量、抑制焦油和原料适应性方面,阶段气化已被证明具有明显的优势。该领域的未来在于与热电联产相结合的分散式小型分布式系统,与日本的碳中和路线图保持一致,并为可持续的低等级煤炭和生物质利用提供全球见解。
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引用次数: 0
Quantitative evaluation of particle distribution status of lithium-ion battery (LIB) slurry under effects of rotational speeds 转速影响下锂离子电池浆体颗粒分布状态的定量评价
IF 4.3 2区 材料科学 Q2 ENGINEERING, CHEMICAL Pub Date : 2025-11-01 DOI: 10.1016/j.partic.2025.10.018
Zhilong Wang , Jianhang Lu , Jiatan Zhang , Feixiang Li , Bo Sun , Tong Zhao , Irfan Bahiuddin
This paper proposed a quantitative evaluation approach to respectively define the particle dispersion degree (PDD) of LiCoO2 particles and the PDD of carbon black (CB) particles based on the scanning electron microscopy (SEM) images of lithium-ion battery (LIB) slurries. A mixed attention module (MAM) is introduced into the instance segmentation algorithm of Mask R-CNN, which successfully identifies LiCoO2 particles and their pixel coordinates in the SEM images of LIB slurry. Subsequently, the image subtraction method is used to remove LiCoO2 particles from the SEM images with the aim of obtaining the pixel coordinates of CB particles. Additionally, the PDD of LiCoO2 particles is comprehensively evaluated by using the proportion of discrete particles, the average value of the minimum distance and the uniform deviation value; while the PDD of CB particles is evaluated by using the proportion of discrete particles and the average value of the minimum distance. Moreover, four different rotational speeds which are 300, 900, 1050 and 1200 rpm are used to differentiate particle distribution status of LIB slurry. Furthermore, in order to verify the correctness of the proposed approach, the electrochemical characteristics of LIB slurries are also analyzed by using electrochemical impedance spectroscopy (EIS) method. After performing the investigations, the conclusions illustrated that both the PDDs of LiCoO2 and CB particles have the capability of evaluating particle dispersion status within LIB slurry. Specifically, larger proportion of discrete particles and average value of the minimum distance together with smaller uniform deviation value result in higher PDDs of LiCoO2 and CB particles in the case that rotational speed is 1050 rpm when compared with other cases including 300, 900 and 1200 rpm. Those results are also consistent with the electrochemical characterizations of LIB slurries, which verified the correctness of the proposed approach. The proposed quantitative evaluation approach is of great importance for the quantitative evaluation of the dispersion degree of microscale and nanoscale particles in dense liquid-solid two-phase flow.
本文基于锂离子电池(LIB)浆料的扫描电镜(SEM)图像,提出了一种定量评价方法,分别定义LiCoO2颗粒的分散度(PDD)和炭黑颗粒的分散度(PDD)。在Mask R-CNN实例分割算法中引入混合注意模块(MAM),成功识别出LIB浆料SEM图像中的LiCoO2颗粒及其像素坐标。随后,采用图像减法将LiCoO2颗粒从SEM图像中去除,得到CB颗粒的像素坐标。利用离散粒子比例、最小距离平均值和均匀偏差值对LiCoO2粒子的PDD进行综合评价;用离散粒子的比例和最小距离的平均值来评价CB粒子的PDD。此外,采用300、900、1050和1200 rpm 4种转速来区分LIB料浆的颗粒分布状态。此外,为了验证该方法的正确性,还利用电化学阻抗谱(EIS)方法分析了锂离子电池浆料的电化学特性。研究结果表明,LiCoO2和CB颗粒的pdd均具有评价LIB浆体中颗粒分散状态的能力。其中,转速为1050 rpm时,LiCoO2和CB颗粒的pdd均高于300、900和1200 rpm时,离散颗粒比例和最小距离平均值较大,均匀偏差值较小。这些结果也与LIB浆料的电化学表征相一致,验证了所提方法的正确性。所提出的定量评价方法对于定量评价致密液固两相流中微米级和纳米级颗粒的分散程度具有重要意义。
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引用次数: 0
Recent progress on anode materials and their preparation for use in sodium ion batteries 钠离子电池负极材料及其制备研究进展
IF 4.3 2区 材料科学 Q2 ENGINEERING, CHEMICAL Pub Date : 2025-11-01 DOI: 10.1016/j.partic.2025.10.017
Mahmood Alhajj , Madzlan Aziz
Rechargeable lithium-ion batteries (LIBs) are the dominant technology for secondary batteries due to their exceptional cycle life and superior energy density. However, for large-scale energy storage applications, sodium-ion batteries (SIBs) are considered a promising alternative owing to their abundant sodium resources, low cost, and relatively high energy density. SIBs display gorgeous application prospects as a superior alternative to extensively commercialized LIBs. Problems such as the low performance of suitable anode materials in large-scale SIBs, due to the large size and sluggish kinetics of Na+ have limited their development. So, further progress in SIBs performance is still needed in terms of fast-charging capability, cyclic stability, and power/energy densities. In this review, the latest progress in the preparation strategies and application challenges of SIBs is summarized, focusing on the fundamentals of the design principles and sodium storage mechanisms in various classes of anode materials including carbon-based, inorganic, organic, and MXene-derived systems. Structural and surface engineering techniques, electrochemical performance evaluation, machine learning (ML), and artificial intelligence (AI) are also discussed to elucidate ion storage mechanisms and accelerate anode material design for next-generation SIBs.
可充电锂离子电池(lib)因其超长的循环寿命和优越的能量密度而成为二次电池的主导技术。然而,对于大规模储能应用,钠离子电池(sib)由于其丰富的钠资源、低成本和相对较高的能量密度而被认为是一个有前途的替代方案。sib作为广泛商业化的lib的优良替代品,显示出良好的应用前景。在大型sib中,合适的阳极材料由于尺寸大、Na+的动力学迟钝而性能不佳等问题限制了它们的发展。因此,在快速充电能力、循环稳定性和功率/能量密度方面,sib的性能仍需进一步提高。本文综述了sib的制备策略和应用挑战的最新进展,重点介绍了sib在碳基、无机、有机和mxene衍生等各类负极材料中的基本设计原理和钠储存机制。还讨论了结构和表面工程技术,电化学性能评估,机器学习(ML)和人工智能(AI),以阐明存储机制并加速下一代sib阳极材料的设计。
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引用次数: 0
Modeling erosion in dense liquid-solid jet: A comparative study of particle interaction effects using DDPM and DPM 密集液固射流侵蚀模拟:用DDPM和DPM对颗粒相互作用效应的比较研究
IF 4.3 2区 材料科学 Q2 ENGINEERING, CHEMICAL Pub Date : 2025-10-30 DOI: 10.1016/j.partic.2025.10.015
Xuewen Cao , Haoxuan Qu , Zhongying Xu , Haopeng Zhang , Zeyu Zhang , Wenshan Peng , Jiang Bian
Operational reliability of shale gas pipelines is critically compromised by solid particle erosion, and the effect of particle interactions on the erosion mechanism under high concentration conditions has not been fully investigated. In this study, a numerical model of liquid-solid direct jet erosion considering particle interactions is established, and the fluid flow characteristics, particle trajectories and erosion damage patterns are analyzed by comparing the discrete phase model (DPM) with the dense discrete phase model (DDPM). A systematic investigation into the influence of particle concentration, flow velocity and particle size on erosion mechanisms was conducted employing the Realizable k-ε turbulence model, the Zhang erosion model, and an experimentally verified computational mesh. The results show that increased particle concentrations lead to lower erosion rates, and DDPM predictions are about 2.5 % lower than those of two-way DPM, which overestimates erosion by ignoring particle-fluid interactions. DDPM is more effective at high concentrations, and the distribution of particle collision velocities it captures shows that particle collision velocities are greater in the center region, but DDPM predicts higher values at the radial peak, leading to an overestimation in the severely eroded zone. This study develops a more accurate numerical modeling approach for predicting erosion in high concentration liquid-solid two-phase jets.
页岩气管道的运行可靠性受到固体颗粒侵蚀的严重影响,而颗粒相互作用对高浓度条件下侵蚀机理的影响尚未得到充分研究。建立了考虑颗粒相互作用的液固直接射流冲蚀数值模型,通过对比离散相模型(DPM)和密集离散相模型(DDPM),分析了流体流动特性、颗粒运动轨迹和冲蚀损伤模式。采用Realizable k-ε湍流模型、Zhang侵蚀模型和实验验证的计算网格,系统研究了颗粒浓度、流速和粒径对侵蚀机理的影响。结果表明,颗粒浓度的增加导致侵蚀速率的降低,与忽略颗粒-流体相互作用而高估侵蚀的双向DPM相比,DDPM的预测值低2.5%左右。DDPM在高浓度时更有效,其捕获的颗粒碰撞速度分布表明,中心区域的颗粒碰撞速度较大,但DDPM在径向峰值处预测的数值较高,导致严重侵蚀区的估计过高。本研究为预测高浓度液固两相射流的侵蚀提供了一种更为精确的数值模拟方法。
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引用次数: 0
Regulation of polymer molecules on caffeine crystals of needle morphology and its flowability 聚合物分子对咖啡因结晶针状形态及其流动性的调控
IF 4.3 2区 材料科学 Q2 ENGINEERING, CHEMICAL Pub Date : 2025-10-28 DOI: 10.1016/j.partic.2025.10.012
Shuo Qi, Feng Lv, Min Su
Caffeine (CAF) crystals tend to form a high aspect ratio needle-like morphology, which seriously affects their performance in the post-processing process. To achieve precise control of crystal morphology, molecular dynamics simulation was adopted to reveal the formation mechanism of needle-like crystal patterns. Based on this, the regulatory effects of various polymer additives on CAF crystals were screened. Verification experiment shows that polypropylene glycol 1000 (PPG1000) with strong hydrophobic properties and significant steric hindrance can significantly reduce the aspect ratio of CAF crystals by reducing the interfacial interaction energy between the (2 0 0) crystal plane and the solvent. Rod-shaped CAF crystals with a lower aspect ratio of approximately 16 were successfully prepared using PPG1000 addition amount of 0.82 ​% (g/g solvent). Further, the tapped density and the Angle of repose of the rod crystals were also tested. The polymer additive has effectively regulated the morphology of the needle crystals of CAF and its flow characteristics, which has significant scientific and engineering value for improving the performance of CAF crystal products and the design of similar needle crystalline systems.
咖啡因(caff)晶体容易形成高纵横比的针状形态,严重影响其后处理性能。为了实现晶体形态的精确控制,采用分子动力学模拟方法揭示针状晶体图案的形成机理。在此基础上,筛选了不同聚合物添加剂对CAF晶体的调控作用。验证实验表明,具有较强疏水性和显著位阻的聚丙烯乙二醇1000 (PPG1000)可以通过降低(2 00)晶面与溶剂之间的界面相互作用能,显著降低CAF晶体的纵横比。在PPG1000添加量为0.82% (g/g溶剂)的条件下,成功制备了长径比约为16的棒状CAF晶体。此外,还测试了棒状晶体的攻丝密度和休止角。聚合物添加剂有效调节了CAF针状晶体的形态及其流动特性,对提高CAF晶体产品的性能和设计类似的针状晶体体系具有重要的科学和工程价值。
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引用次数: 0
Predicting granule size via in-line NIR spectroscopy during fluidized bed foam granulation and drying 通过在线近红外光谱预测流化床泡沫造粒和干燥过程中的颗粒大小
IF 4.3 2区 材料科学 Q2 ENGINEERING, CHEMICAL Pub Date : 2025-10-27 DOI: 10.1016/j.partic.2025.10.011
Romain Kersaudy , Maroua Rouabah , Abdoulah Ly , Inès Esma Achouri , Ryan Gosselin , Nicolas Abatzoglou
Wet granulation-a unit operation involving mixing polymeric binders with powdered formulations-is well established in the pharmaceutical industry, playing a major role in the manufacturing of oral solid dosage forms and improving the physical properties of granules (size, density, shape factor, etc.) before tableting. The foaming properties of aqueous polymeric binders prove useful for binder delivery within the mixing vessel, with foamed binders leading to enhanced process efficiency (binder distribution, drying time, and temperature) and product quality (heat-sensitive components) during granulation. Given the importance of this stage in producing oral solid dosage forms, understanding the relationship between critical process parameters and critical quality attributes is essential. The process analytical technology (PAT) framework enables process design, analysis, and control and facilitates process development via in-line spectroscopy combined with multivariate data analysis to yield critical product information during the unit operation. Herein, we used in-line NIR spectroscopy to monitor granule size in foam granulations of a pharmaceutical compound. The mean granule diameter was predicted using a partial least squares regression (PLSR) model (with a prediction error of 11.8 μm) and combined with a batch statistical process control (BSPC) approach for the temporal monitoring of granule size during three foam granulations.
湿造粒——一种将聚合粘合剂与粉状制剂混合的单元操作——在制药工业中已经建立起来,在口服固体剂型的生产中起着重要作用,并在片剂前改善颗粒的物理性质(大小、密度、形状因子等)。水性聚合物粘结剂的发泡特性对混合容器内的粘结剂输送非常有用,在造粒过程中,泡沫粘结剂可以提高工艺效率(粘结剂分布、干燥时间和温度)和产品质量(热敏成分)。考虑到这一阶段在生产口服固体剂型中的重要性,了解关键工艺参数和关键质量属性之间的关系是必不可少的。过程分析技术(PAT)框架实现了过程设计、分析和控制,并通过在线光谱与多变量数据分析相结合,促进了过程开发,从而在单元运行期间产生关键的产品信息。本文中,我们使用在线近红外光谱来监测药物化合物泡沫颗粒中的颗粒大小。采用偏最小二乘回归(PLSR)模型(预测误差为11.8 μm)预测平均粒径,并结合批量统计过程控制(BSPC)方法对三次泡沫造粒过程中的粒径进行时间监测。
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引用次数: 0
Kinetic shear-stress of particles in the particle-laden flow simulated using classic and second-order moment of kinetic theory of granular flow 利用颗粒流动力学理论的经典矩和二阶矩模拟了颗粒流中颗粒的运动剪切应力
IF 4.3 2区 材料科学 Q2 ENGINEERING, CHEMICAL Pub Date : 2025-10-25 DOI: 10.1016/j.partic.2025.10.009
Dan Sun
Kinetic viscosity of particles in the kinetic theory of granular flow (KTGF) was derived from the turbulence viscosity of the gas phase based on the kinetic theory of gas, with the effects of the dense phase of granular materials. KTGF is prominent in predicting the dense particle flow, being the primary numerical method for the gas-particle flow in fluidization, predominantly in the large-scale simulations as a Eulerian method. Recent studies presented that the second-order moment (SOM) of KTGF is superior to the classic KTGF in the particle-flow prediction. The difference between classic KTGF and SOM KTGF exists in the numerical model of the kinetic stresses of particles, which is calculated by the pseudo kinetic viscosity of particles in classic KTGF and by the SOM of the fluctuating velocity of particles by using the partial differential equations in SOM-KTGF. In this study, the gas-particle flow was simulated using SOM-KTGF and the stress tensors of particles predicted by the two methods were compared. It was demonstrated that the normal components of the kinetic stress tensor predicted by the two methods were close in value. However, the kinetic shear-stress was over-predicted by the classic KTGF in the dilute phase of particles in the gas-particle flow of fluidization, when the volume fraction of particles was less than 0.01. Therefore, SOM-KTGF is superior to the classic KTGF, particularly when the particle flow is dominated by the interstitial gas phase, as the particle-laden flow occurs in the lower volume fraction of particles in the dense regime, and further in the dilute and median regimes, when the volume fraction of particles less than 0.01. This superiority is caused by the high-fidelity prediction of the kinetic shear stress in SOM-KTGF rather than the prediction by classic KTGF. In addition, SOM-KTGF extended the application of KTGF from dense flows of particles in fluidization to median-dilute flows of particles in pneumatic conveying, when the volume fraction is less than 0.001.
颗粒流动动力学理论(KTGF)中颗粒的运动粘度是在气体动力学理论的基础上,结合颗粒物料致密相的影响,推导出气相的湍流粘度。KTGF在预测致密颗粒流方面表现突出,是流化过程中气粒流的主要数值方法,在大规模模拟中以欧拉方法为主。近年来的研究表明,KTGF的二阶矩(SOM)在粒子流预测方面优于经典的KTGF。经典KTGF与SOM KTGF的区别在于粒子运动应力的数值模型,该模型是通过经典KTGF中粒子的伪运动粘度和SOM-KTGF中粒子波动速度的SOM来计算的。本研究使用SOM-KTGF模拟气-颗粒流动,比较两种方法预测的颗粒应力张量。结果表明,两种方法预测的运动应力张量法向分量值接近。然而,在流化气粒流中,当颗粒体积分数小于0.01时,经典KTGF对颗粒稀相的动力学剪切应力预测过高。因此,SOM-KTGF优于经典的KTGF,特别是当颗粒流以间隙气相为主时,颗粒载流发生在致密区颗粒体积分数较低的区域,当颗粒体积分数小于0.01时,颗粒载流进一步发生在稀区和中区。这一优势是由于SOM-KTGF对运动剪切应力的预测保真度高,优于经典KTGF的预测。此外,SOM-KTGF将KTGF的应用范围从流化颗粒的密集流扩展到体积分数小于0.001时的气力输送颗粒的中稀流。
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引用次数: 0
Knowledge-informed reduced-order modeling for erosion prediction in pipe bends 基于知识的弯管侵蚀预测降阶模型
IF 4.3 2区 材料科学 Q2 ENGINEERING, CHEMICAL Pub Date : 2025-10-25 DOI: 10.1016/j.partic.2025.10.010
Ming Pan , Lijing Mu , Cenfan Liu , Xizhong Chen
Solid particle erosion in pipeline elbows poses a persistent challenge in the energy and process industries, where accurate yet efficient prediction methods are urgently needed. While computational fluid dynamics–discrete element method (CFD–DEM) simulations provide high-fidelity erosion predictions, their computational demands severely limit practical deployment. To bridge this gap, this study proposes a knowledge-informed reduced-order modeling framework that couples proper orthogonal decomposition (POD) with Kriging interpolation. The surrogate model is enhanced by numerically validated, physically motivated correlations between erosion ratios and key impact parameters, enabling improved extrapolation and interpretability. Validation against full-order CFD–DEM results demonstrates that the enhanced POD–Kriging model accurately reproduces spatial erosion fields while achieving speedups exceeding 2000 × . Compared to the conventional POD-based surrogate, the proposed approach reduces prediction errors by up to 76 %, with local error at high-risk elbow regions reduced to within 4 %. These results highlight the model's robustness and generalizability across both single- and multi-parameter operating conditions. The framework offers a computationally efficient and physically consistent alternative for erosion assessment and design optimization in industrial pipeline systems.
在能源和加工工业中,管道弯头固体颗粒侵蚀是一个持续的挑战,迫切需要准确而有效的预测方法。虽然计算流体动力学-离散元方法(CFD-DEM)模拟提供了高保真的侵蚀预测,但其计算需求严重限制了实际应用。为了弥补这一差距,本研究提出了一种知识告知的降阶建模框架,该框架将适当的正交分解(POD)与Kriging插值相结合。通过数值验证,侵蚀率和关键影响参数之间的物理相关性增强了代理模型,从而提高了外推率和可解释性。对全阶CFD-DEM结果的验证表明,改进的POD-Kriging模型可以准确地再现空间侵蚀场,且速度超过2000 ×。与传统的基于pod的替代方法相比,该方法可将预测误差降低76%,高危肘关节区域的局部误差降低到4%以内。这些结果突出了该模型在单参数和多参数操作条件下的鲁棒性和泛化性。该框架为工业管道系统的侵蚀评估和设计优化提供了一种计算效率高、物理上一致的替代方案。
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引用次数: 0
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Particuology
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