Powder Technology最新文献_第4页

Quantitative characterization of hydrophobic agglomeration at different mixing intensities using a copula-based probabilistic modeling approach 使用基于copula的概率建模方法定量表征不同混合强度下的疏水团聚

IF 4.5 2区工程技术

Powder Technology Pub Date : 2025-04-17 DOI: 10.1016/j.powtec.2025.120907

Niklas Eiermann , Orkun Furat , Jan Nicklas , Urs A. Peuker , Volker Schmidt

{"title":"Quantitative characterization of hydrophobic agglomeration at different mixing intensities using a copula-based probabilistic modeling approach","authors":"Niklas Eiermann , Orkun Furat , Jan Nicklas , Urs A. Peuker , Volker Schmidt","doi":"10.1016/j.powtec.2025.120907","DOIUrl":"10.1016/j.powtec.2025.120907","url":null,"abstract":"<div><div>The agglomeration of small poorly wetted alumina particles in a stirred tank is investigated. For different experimental conditions, two bivariate probability densities for the area-equivalent diameter and aspect ratio of primary particles and agglomerates, respectively, are determined, using 2D image data from an inline camera system. Throughout each experiment, these densities do not change since the geometries of primary particles are unaffected by the experimental conditions, while large agglomerates fragment into multiple smaller ones, which results in an equilibrium state regarding the distribution of agglomerate descriptors. Mixtures of these densities are used to model the contents of the stirred tank at each time step of the experiments. Analytical functions, whose parameters characterize the agglomeration dynamics, are fitted to the time-dependent weights of these mixtures. This enables a quantitative comparison of agglomeration processes, highlighting the impact of mixing intensity on the joint distribution of agglomerate descriptors.</div></div>","PeriodicalId":407,"journal":{"name":"Powder Technology","volume":"460 ","pages":"Article 120907"},"PeriodicalIF":4.5,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143863542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Performance enhancement of cyclone deoiling for oily sludge based on BP neural network model and genetic algorithm 基于BP神经网络模型和遗传算法的油泥旋风除油性能提升

IF 4.5 2区工程技术

Powder Technology Pub Date : 2025-04-17 DOI: 10.1016/j.powtec.2025.121029

Shifan Zhang , Jiwei Wu , Bin Gong , Shiqi Yu , Zelin Qiao , Qianyu Liu , Zhihao Su , Jianqiang Sun , Xuehai Wang , Haocheng Sun

{"title":"Performance enhancement of cyclone deoiling for oily sludge based on BP neural network model and genetic algorithm","authors":"Shifan Zhang , Jiwei Wu , Bin Gong , Shiqi Yu , Zelin Qiao , Qianyu Liu , Zhihao Su , Jianqiang Sun , Xuehai Wang , Haocheng Sun","doi":"10.1016/j.powtec.2025.121029","DOIUrl":"10.1016/j.powtec.2025.121029","url":null,"abstract":"<div><div>Performance enhancement in cyclone deoiling systems plays a critical role in improving oily sludge treatment efficiency and cutting energy consumption. This paper delved into the mechanism of cyclone deoiling, constructed Back Propagation (BP) neural networks to analyze the predictive performance of average shear rate and pressure drop, and achieved collaborative optimization of the cyclone structure by using the Nondominated Sorting Genetic Algorithm II (NSGA-II), aiming to balance deoiling efficiency and energy consumption. Through a combination of Computational Fluid Dynamics (CFD) simulations and experimental validation, the study systematically revealed the changes in particle dynamics and properties of oil-based mud (OBM) cuttings before and after optimization. The results demonstrated that the BP model outperformed the response surface model, Support Vector Machine (SVM), and Random Forest (RF) methods in predicting the average shear rate and pressure drop. The optimal cyclone structure corresponded to an average shear rate of 3111.23 s<sup>−1</sup> (an increase of 24.62 %) and a pressure drop of 992.54 Pa (an increase of 5.64 %), with prediction errors reduced to 0.80 % and 0.56 %, respectively. CFD simulations showed that the radial coupling centrifugal separation factor increased to 3.49 times that before optimization, and the pressure drop increased by 5.05 %. In the experiment, at an inlet velocity of 19 m/s, the oil content dropped to 0.49 %, the deoiling efficiency increased to 95.07 %, and the pressure drop increased by only 66.67 Pa, which was highly consistent with the predicted and simulated results. This study's intelligent optimization method provides an efficient, low-energy solution for oily sludge treatment, supporting sustainable oilfield development.</div></div>","PeriodicalId":407,"journal":{"name":"Powder Technology","volume":"460 ","pages":"Article 121029"},"PeriodicalIF":4.5,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143878891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dispersion and secondary explosion model of propylene oxide droplets/aluminum powder under explosion driving: Considering the initial flow field 爆炸驱动下环氧丙烷液滴/铝粉的分散及二次爆炸模型：考虑初始流场

IF 4.5 2区工程技术

Powder Technology Pub Date : 2025-04-16 DOI: 10.1016/j.powtec.2025.121045

Linghui Zeng , Jiafan Ren , Zhongqi Wang , Han Li , Xing Chen , Shenghua Fu

{"title":"Dispersion and secondary explosion model of propylene oxide droplets/aluminum powder under explosion driving: Considering the initial flow field","authors":"Linghui Zeng , Jiafan Ren , Zhongqi Wang , Han Li , Xing Chen , Shenghua Fu","doi":"10.1016/j.powtec.2025.121045","DOIUrl":"10.1016/j.powtec.2025.121045","url":null,"abstract":"<div><div>The dispersion and explosion characteristics of multiphase particles under explosion-driving hold significant importance for safety design and accident prevention in the chemical industry field. In order to solve the problems of discontinuity, incompleteness of flow field conditions and significant near-field errors in the existing numerical models, a dispersion and secondary explosion model of propylene oxide droplets/ aluminum powder under explosion driving is built. The model performs continuous computations for the four stages of initial dispersion, cloud development, concentration distribution, and secondary explosion. The model considers the initial flow field conditions, effectively reducing the near-field computational error to within 10 %. The dispersion and explosion processes of mixed fuel under three conditions (static, with wind speed and with falling speed) are studied through experiments and numerical models. The results show that under the initial wind speed, the dispersion radius of the downwind area extends by 16.8 %. The burnout rate increases by 15.0 %, and the peak overpressure of the secondary explosion rises by 4.2 %. Under the initial falling speed effect, the concentration distribution of the fuel cloud becomes more uniform. The proportion of the gas phase increases. It has been verified that the velocity change of the initial flow field can influence the stripping and evaporation effects of droplets, thereby strengthening the explosive properties of the cloud.</div></div>","PeriodicalId":407,"journal":{"name":"Powder Technology","volume":"459 ","pages":"Article 121045"},"PeriodicalIF":4.5,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143848648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Pore network modeling of iron ore agglomerates: Development of a methodology based on X-ray microtomography 铁矿团块孔隙网络建模：基于x射线微层析成像方法的发展

IF 4.5 2区工程技术

Powder Technology Pub Date : 2025-04-16 DOI: 10.1016/j.powtec.2025.121046

Igor Nogueira Lima , Karen Soares Augusto , Marcos Henrique de Pinho Mauricio , Francisco José Rodrigues da Silva Junior , Richard Bryan Magalhães Santos , Bernardo Amaral Pascarelli Ferreira , Alei Leite Alcantara Domingues , Valdirene Gonzaga de Resende , Sidnei Paciornik

{"title":"Pore network modeling of iron ore agglomerates: Development of a methodology based on X-ray microtomography","authors":"Igor Nogueira Lima , Karen Soares Augusto , Marcos Henrique de Pinho Mauricio , Francisco José Rodrigues da Silva Junior , Richard Bryan Magalhães Santos , Bernardo Amaral Pascarelli Ferreira , Alei Leite Alcantara Domingues , Valdirene Gonzaga de Resende , Sidnei Paciornik","doi":"10.1016/j.powtec.2025.121046","DOIUrl":"10.1016/j.powtec.2025.121046","url":null,"abstract":"<div><div>One of the most relevant characteristics of iron ore agglomerates is their porosity, which strongly impacts their performance in the steelmaking processes. This performance depends on a porous network allowing the gas to flow through its interior without compromising its integrity. However, there is a noticeable lack of research on the relationship between flow properties, absolute permeability, and the porous structure of agglomerates, especially for cold agglomerated iron ore. This work presents a methodology for characterizing iron ore agglomerates by identifying their pore network structure using X-ray microtomography (MicroCT) and Pore Network Modeling (PNM). The methodology was applied to iron ore pellets and cold agglomerates. Thus, the influence of the microstructure of these agglomerates on the variation of their porosity and permeability was evaluated. MicroCT provided a 3D visualization of the agglomerates' microstructure, allowing the pore space's discrimination. PNM was used to simulate the absolute permeability of the samples, correlating it with porosity, pore connectivity, and pore diameters and connections. The images were acquired with a 2 μm voxel size, and the obtained porosity was around 20 %. In addition, consistent results of the agglomerates' absolute permeability were found, ranging from 0.03 to 2.4 mD. From the developed methodology, it is possible to explore the relationship between porosity, permeability, and reducibility of agglomerates. Future research can use this approach to optimize process parameters and improve the efficiency of steel production by deepening the understanding of the influence of microstructure on the physical properties and performance of the reduction process.</div></div>","PeriodicalId":407,"journal":{"name":"Powder Technology","volume":"460 ","pages":"Article 121046"},"PeriodicalIF":4.5,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143855815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Chlorine-doping boosting Na+ transport kinetics of P2-type layered Na0.66Ni0.27Zn0.06Mn0.67O2 cathode for Na-ion batteries via regulating ion migration path 氯掺杂通过调节离子迁移路径促进 Na 离子电池 P2- 型层状 Na0.66Ni0.27Zn0.06Mn0.67O2 正极的 Na+ 迁移动力学

IF 4.5 2区工程技术

Powder Technology Pub Date : 2025-04-16 DOI: 10.1016/j.powtec.2025.121043

Chen Lu , Lin Xu , Guangpeng He , Bingqian Wang , Meiqi Zheng , Zhaohong Tang , Kaiwen Zhou , Wenwei Wu , Xuehang Wu

{"title":"Chlorine-doping boosting Na+ transport kinetics of P2-type layered Na0.66Ni0.27Zn0.06Mn0.67O2 cathode for Na-ion batteries via regulating ion migration path","authors":"Chen Lu , Lin Xu , Guangpeng He , Bingqian Wang , Meiqi Zheng , Zhaohong Tang , Kaiwen Zhou , Wenwei Wu , Xuehang Wu","doi":"10.1016/j.powtec.2025.121043","DOIUrl":"10.1016/j.powtec.2025.121043","url":null,"abstract":"<div><div>Sodium-ion batteries (SIBs) with high-energy-density require high-capacity and high-voltage cathode materials. Among various cathode materials, P2-type Na<sub>0.66</sub>Ni<sub>0.27</sub>Zn<sub>0.06</sub>Mn<sub>0.67</sub>O<sub>2</sub> (NNZMO) is attractive due to its high theoretical capacity, high working voltage, low production cost, and low toxicity. However, its cycle life and rate performance still need to be further enhanced for serving the needs of commercial applications. In this work, we demonstrate that Cl doping can effectively enhance the structural stability, working voltage, and capacity of the NNZMO-x (x = 0.03, 0.06), especially NNZMO-0.03, attributed that chlorine-doped NNZMO can provide more superior structural integrity, more favorable Na<sup>+</sup> ion migration path, more electrochemical active sites. Such as, NNZMO-0.03 can provides a specific discharge capacity of 95.40 mAh g<sup>−1</sup> and a capacity retention of 86.26 % after 100 cycles at 100 mA g<sup>−1</sup>, showing marked improvement compared with NNZMO (83.40 mAh g<sup>−1</sup> and 77.36 %). Besides, the rate performance of NNZMO-0.03 is also significantly improved after doping Cl<sup>−</sup>. Such as, specific discharge capacity of 81.5 and 76.1 mAh g<sup>−1</sup> for NNZMO-0.03 vs. that of 76.3 and 65.9 mAh g<sup>−1</sup> for NNZMO at 1000 and 2000 mA g<sup>−1</sup>. Therefore, this work provides a new strategy by means of Cl doping to enhance the electrochemical performance of layered oxide cathode materials for SIBs</div></div>","PeriodicalId":407,"journal":{"name":"Powder Technology","volume":"460 ","pages":"Article 121043"},"PeriodicalIF":4.5,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143859433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Granular flow in screw conveyors: A review of experiments and discrete element method (DEM) studies 螺旋输送机中的颗粒流：实验与离散元法研究综述

IF 4.5 2区工程技术

Powder Technology Pub Date : 2025-04-16 DOI: 10.1016/j.powtec.2025.121040

Milada Pezo , Lato Pezo , Biljana Lončar , Predrag Kojić , Milica Ilić , Aca Jovanović

{"title":"Granular flow in screw conveyors: A review of experiments and discrete element method (DEM) studies","authors":"Milada Pezo , Lato Pezo , Biljana Lončar , Predrag Kojić , Milica Ilić , Aca Jovanović","doi":"10.1016/j.powtec.2025.121040","DOIUrl":"10.1016/j.powtec.2025.121040","url":null,"abstract":"<div><div>Screw conveyors are essential in industries such as mineral processing, agriculture, chemicals, plastics, cement, and food processing, facilitating granular material transport and mixing. Despite their mechanical simplicity, the complex physics of granular flow poses challenges, including bridging, blockages, and inefficient mixing. This review examines transport mechanisms and mixing in screw conveyors through experimental studies and Discrete Element Method (DEM) simulations. DEM enables detailed analysis of particle interactions, capturing transport dynamics based on Newton's laws of motion. Key operational parameters—rotational speed, inclination angle, and fill level—significantly impact transport efficiency and mixing behaviour. Recent advancements in DEM, including integration with Computational Fluid Dynamics and Finite Element Analysis, have improved predictive accuracy and system optimization. These combined approaches enhance the modelling of fluid-solid interactions and mechanical stresses. Future research aims to refine particle models by integrating complex behaviours, including cohesion, breakage, and shape variations. The efficiency of simulations is expected to be further enhanced through high-performance computing and emerging technologies such as quantum computing, thereby reducing computational costs. Implementing of real-time data analytics and predictive maintenance is anticipated to facilitate adaptive system control, ensuring stable and efficient operation. Cross-disciplinary collaboration is crucial for refining validation techniques and improving software accessibility, aligning DEM simulations with experimental and industrial applications. An integrated approach to studying granular flow in screw conveyors bridges theoretical and practical insights, enhancing efficiency, reliability, and the broader applicability of DEM in optimizing screw conveyor performance across industries.</div></div>","PeriodicalId":407,"journal":{"name":"Powder Technology","volume":"459 ","pages":"Article 121040"},"PeriodicalIF":4.5,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143844352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Pseudo-viscous modeling of transport in dense granular flows for thermal energy storage applications 致密颗粒流输运的伪粘性模拟在热能储存中的应用

IF 4.5 2区工程技术

Powder Technology Pub Date : 2025-04-15 DOI: 10.1016/j.powtec.2025.121044

Nhu Pailes Nguyen , Margarita Caulfield , Gared Colton , Devesh Ranjan , Kyu Bum Han , Peter G. Loutzenhiser

{"title":"Pseudo-viscous modeling of transport in dense granular flows for thermal energy storage applications","authors":"Nhu Pailes Nguyen , Margarita Caulfield , Gared Colton , Devesh Ranjan , Kyu Bum Han , Peter G. Loutzenhiser","doi":"10.1016/j.powtec.2025.121044","DOIUrl":"10.1016/j.powtec.2025.121044","url":null,"abstract":"<div><div>Dense, granular flows were examined to effectively capture and model bulk viscous properties in thin packed beds. A modified Couette cell with particle image velocimetry was used to experimentally determine pseudo-viscosity properties of four particulate media with varying morphologies: (1) iron oxide-coated SiO<sub>2</sub> particles, (2) CARBOBEAD CP30-60 particles, (3) CARBOBEAD CP40-100 particles, and (4) Al<sub>2</sub>O<sub>3</sub> beads. The pseudo-viscosity functions were fitted using a power law to correlate the measured shear stress as a function of measured shear rate. The pseudo-viscous functions were used as inputs to computation fluid dynamics models for a single-phase viscous fluid to predict granular flow profiles. Steady-state free surface velocity profiles at angular velocities <7 rad/s predicted by the model were in good agreement with the experimental particle image velocimetry measurements, resulting in Pearson correlation coefficients of 0.97 for iron-oxide coated SiO<sub>2</sub> particles and 0.95 for CP30-60 particles. This alternative approach to measuring pseudo-viscous properties under shearing and modeling bulk transport behavior of granular flow using computation fluid dynamics model offered significant reduction in computational load compared to discrete element methods.</div></div>","PeriodicalId":407,"journal":{"name":"Powder Technology","volume":"460 ","pages":"Article 121044"},"PeriodicalIF":4.5,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143863543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analytical solution for the polydisperse random close packing problem in 2D 二维多分散随机密堆积问题的解析解

IF 4.5 2区工程技术

Powder Technology Pub Date : 2025-04-15 DOI: 10.1016/j.powtec.2025.121008

Alessio Zaccone

{"title":"Analytical solution for the polydisperse random close packing problem in 2D","authors":"Alessio Zaccone","doi":"10.1016/j.powtec.2025.121008","DOIUrl":"10.1016/j.powtec.2025.121008","url":null,"abstract":"<div><div>An analytical theory for the random close packing density, <span><math><msub><mrow><mi>ϕ</mi></mrow><mrow><mtext>RCP</mtext></mrow></msub></math></span>, of polydisperse hard disks is provided using an equilibrium model of crowding (Zaccone, 2022) which has been justified on the basis of extensive numerical analysis of the maximally random jammed (MRJ) line in the phase diagram of hard spheres (Anzivino et al., 2023). The solution relies on the equations of state for the hard disk fluid and provides predictions for <span><math><msub><mrow><mi>ϕ</mi></mrow><mrow><mtext>RCP</mtext></mrow></msub></math></span> as a function of the ratio, <span><math><mi>s</mi></math></span>, of the standard deviation of the distribution of disk diameters to its mean. For a power-law size distribution with <span><math><mrow><mi>s</mi><mo>=</mo><mn>0</mn><mo>.</mo><mn>246</mn></mrow></math></span>, the theory yields <span><math><mrow><msub><mrow><mi>ϕ</mi></mrow><mrow><mtext>RCP</mtext></mrow></msub><mo>=</mo><mn>0</mn><mo>.</mo><mn>892</mn></mrow></math></span>, which compares well with the most recent numerical estimate <span><math><mrow><msub><mrow><mi>ϕ</mi></mrow><mrow><mtext>RCP</mtext></mrow></msub><mo>=</mo><mn>0</mn><mo>.</mo><mn>905</mn></mrow></math></span> based on the Monte-Carlo swap algorithms (Ghimenti et al., 2024).</div></div>","PeriodicalId":407,"journal":{"name":"Powder Technology","volume":"459 ","pages":"Article 121008"},"PeriodicalIF":4.5,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143844354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

GPU-DEM study of the flow and energy dissipation behaviors of burden materials in a full bell-less blast furnace charging system 基于GPU-DEM的全无钟高炉装料系统物料流动及能量耗散特性研究

IF 4.5 2区工程技术

Powder Technology Pub Date : 2025-04-14 DOI: 10.1016/j.powtec.2025.121035

Patricio Jacobs-Capdeville , Shibo Kuang , Tim Evans , Sunny Song , Aibing Yu

{"title":"GPU-DEM study of the flow and energy dissipation behaviors of burden materials in a full bell-less blast furnace charging system","authors":"Patricio Jacobs-Capdeville , Shibo Kuang , Tim Evans , Sunny Song , Aibing Yu","doi":"10.1016/j.powtec.2025.121035","DOIUrl":"10.1016/j.powtec.2025.121035","url":null,"abstract":"<div><div>The blast furnace bell-less top charging system involves multiple handling steps that affect burden distribution in the furnace throat. This study employs a GPU-DEM model to analyze particle motion and energy dissipation of burden materials from the belt conveyor to the furnace throat, providing insights into flow behavior, segregation, degradation, and erosion. Particle properties and size distributions strongly affect the flow structure. Pellets exhibit higher velocities than lumps, sinters, and coke, with differences decreasing in the rotating chute. Four regions of high energy dissipation were found, with coke and sinter degradation reaching 15 % of the feed and lump and pellet degradation remaining around 1 %. Wear intensifies with broader particle size distributions, driven by shear energy. Segregation before hopper filling is minimal, but in-hopper segregation significantly impacts in-furnace segregation, where larger particles accumulate at the periphery and top. Heap formation arises mainly from shifts between rolling and impact energy dissipation.</div></div>","PeriodicalId":407,"journal":{"name":"Powder Technology","volume":"459 ","pages":"Article 121035"},"PeriodicalIF":4.5,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143835387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Deep oxidation and rupture processes in the aging of boron particles by time-sequenced slicing approach 时间序列切片法研究硼颗粒老化过程中的深度氧化和断裂过程

IF 4.5 2区工程技术

Powder Technology Pub Date : 2025-04-14 DOI: 10.1016/j.powtec.2025.121033

Yuanjian Li , Li Yang , Sicheng Chen , Yi Ding , Ji-Min Han

{"title":"Deep oxidation and rupture processes in the aging of boron particles by time-sequenced slicing approach","authors":"Yuanjian Li , Li Yang , Sicheng Chen , Yi Ding , Ji-Min Han","doi":"10.1016/j.powtec.2025.121033","DOIUrl":"10.1016/j.powtec.2025.121033","url":null,"abstract":"<div><div>The energy performance of boron-based energetic materials gradually deteriorates over time, primarily influenced by the formation and evolution of the oxide layer on boron particle surfaces. However, accurately characterizing the structural evolution of this oxide layer remains challenging due to its nanoscale characteristics and inward growth, thereby limiting a comprehensive understanding of the aging process. To address this, this study integrates accelerated aging experiments with micro-nanostructure processing techniques and develops a time-sequenced slicing approach for systematically analyzing the oxidation evolution of boron particles. Experimental results indicate that the growth of the boron oxide layer follows a two-stage process: an early slow-growth phase dominated by boron‑oxygen diffusion, followed by a mid-stage accelerated growth phase driven by structural degradation. The growth rate constants of these two modes differ by approximately a factor of 17.7. During oxidation, the chemical composition of boron undergoes a transformation from elemental boron to mixed boron oxides and eventually to boric acid (B → B<sub>n</sub>O<sub>m</sub> → H₃BO₃), leading to a decrease in surface density, an enhancement of oxidation-induced expansion, and the formation of cracks and voids. These structural changes directly influence oxidation kinetics and account for the variation in oxidation rates between the early and mid-aging stages. This study elucidates the microscopic structural evolution mechanism of boron particles under storage conditions, providing critical theoretical insights for optimizing energy performance assessment and storage stability.</div></div>","PeriodicalId":407,"journal":{"name":"Powder Technology","volume":"459 ","pages":"Article 121033"},"PeriodicalIF":4.5,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143829488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0