Particuology最新文献

{"title":"Micromechanical exploration of asymmetric mobilization of arching effect in granular materials by DEM","authors":"Linjie Deng ,&nbsp;Beibing Dai ,&nbsp;Fengtao Liu ,&nbsp;Weihai Yuan ,&nbsp;Jun Yang","doi":"10.1016/j.partic.2025.10.005","DOIUrl":"10.1016/j.partic.2025.10.005","url":null,"abstract":"<div><div>This study investigates the asymmetrical arching phenomenon in inclined granular deposits by performing the DEM simulations of trapdoor tests. The results indicate that the weakest arching effect occurs at deposit inclination angles of 30° ∼ 45°, evidenced by the highest arching ratio on the trapdoor, largest deposit settlement, and lowest fabric anisotropy intensity. The asymmetrical arching effect is manifested by lower arching ratios, greater deposit settlements and larger fabric anisotropy magnitudes on the left part beside the trapdoor compared to the right part. The arching asymmetry depends on the angle <em>Ψ</em> formed between the potential failure plane's orientation and the deposit inclination direction, and this angle (<em>Ψ</em>_<em>L</em>) for region L is on average lower than that (<em>Ψ</em>_<em>R</em>) for region R. A larger <em>Ψ</em>_<em>R</em> leads to a more notable inter-particle locking effect and a higher resistance to deformation for region R, which further causes larger arching ratios and less remarkable deposit settlements. Moreover, the arching asymmetry degree is positively correlated with the discrepancy between <em>Ψ</em>_<em>L</em> and <em>Ψ</em>_<em>R</em>. The disparity of mechanical responses between regions L and R aggravates with increasing <em>Ψ</em>_<em>R</em> – <em>Ψ</em>_<em>L</em>, and the strongest asymmetrical arching effect occurs around <em>θ</em> = 30°, where <em>Ψ</em>_<em>R</em> – <em>Ψ</em>_<em>L</em> takes the maximum value.</div></div>","PeriodicalId":401,"journal":{"name":"Particuology","volume":"107 ","pages":"Pages 176-191"},"PeriodicalIF":4.3,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145425080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of an in-situ micro fluidized bed thermogravimetric analysis method for assessing attrition behavior of oxygen carrier particles in chemical looping","authors":"Songming Yao,&nbsp;Lei Liu","doi":"10.1016/j.partic.2025.10.002","DOIUrl":"10.1016/j.partic.2025.10.002","url":null,"abstract":"<div><div>It is evident that oxygen carriers play a pivotal role in the chemical looping combustion. Although the majority of studies have concentrated on enhancing the high-temperature thermal stability and reactivity of oxygen carriers, it is imperative to study the attrition behaviors of oxygen carriers precisely. In this work, a micro fluidized bed thermogravimetric analysis (MFB-TGA) was developed to obtain the attrition properties through real-time measurement of weight changes during the redox reactions. Ilmenite, iron ore, and laterite ore were selected as the oxygen carriers, and the contributions of mechanical, thermal, and chemical stresses to oxygen carrier attrition were investigated. It was found that ilmenite and iron ore started stable attrition just after the 20th and 5th cycles due to the activation phenomenon. Laterite ore suffered a fast attrition stage with a rate of 0.37 % h⁻¹ before the 20th cycle, after that, the attrition rate changed to be slow. At the end of activation, ilmenite and iron ore attrition was led by mechanical stress with the proportion of ∼40 %, while chemical stress was the predominant factor of laterite ore attrition with the proportion of ∼57.6 %. The proposed micro fluidized bed thermogravimetric method provides an effective and convenient pathway to determine, evaluate, and compare the attrition behavior of oxygen carriers in laboratory.</div></div>","PeriodicalId":401,"journal":{"name":"Particuology","volume":"107 ","pages":"Pages 81-91"},"PeriodicalIF":4.3,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145359687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Simulation and analysis of bulk particle water entry dynamics using MP-PIC-VOF: A new volume-conservative model","authors":"Utkan Çalışkan,&nbsp;Sanja Mišković","doi":"10.1016/j.partic.2025.10.004","DOIUrl":"10.1016/j.partic.2025.10.004","url":null,"abstract":"<div><div>This paper introduces the advanced MP-PIC-VOF model tailored for dense particle-laden flows with free surface, which has been developed and extensively tested across a set of validation cases found in literature and original bulk particle water entry case. A distinctive feature of the MP-PIC method is its demonstrated ability to accurately capture the behavior of closely packed particles in a fluid, even in the absence of direct pairwise particle-particle interactions. At a closed packed limit, the MP-PIC method achieves the accurate representation of the state through the resolved mean particle velocity field and implementation of the velocity limiter in the inter-particle stress force. The new model integrates a trilinear interpolation technique, specifically adapted for unstructured hexahedral meshes, and a weighted least squares method for efficient gradient computation that operates at a sub-cell level, enabling more accurate calculation of inter-particle stress gradients. Other key contributions include the integration of hydrostatic pressure adaptation in the momentum equation and a volume-conservative alpha transport equation that ensures mass conservation during the transfer of the solid phase between distinct fluid phases. The coupling framework includes a range of coupled fluid-particle forces important for particles immersed in liquid, including a dense virtual mass force. The model's validation against experimental data and CFD-DEM-VOF results focuses on key flow parameters, specifically particle velocity, dispersion profile, and cavity evolution during bulk particle water entry. The model is shown to accurately simulate complex solid-liquid-gas interactions, demonstrating its potential for optimizing a wide range of complex industrial processes such as liquid fluidized beds, solid-liquid stirred tanks, and clarifiers.</div></div>","PeriodicalId":401,"journal":{"name":"Particuology","volume":"107 ","pages":"Pages 113-133"},"PeriodicalIF":4.3,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145359689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantifying the impact of particle size distribution variability on angle of repose measurement precision: A friction-dependent analysis using PyBullet physics simulation","authors":"Chia-Ming Chang ,&nbsp;Yu-Chieh Ting ,&nbsp;Yong-Ming Dai ,&nbsp;Chien-Tzu Huang","doi":"10.1016/j.partic.2025.09.019","DOIUrl":"10.1016/j.partic.2025.09.019","url":null,"abstract":"<div><div>Particle size distribution effects on angle of repose measurements remain insufficiently quantified despite their industrial importance. This study systematically investigates friction–polydispersity interactions using PyBullet DEM simulations with factorial design and statistical analysis. Three friction levels (0.3, 0.5, 0.7) and five coefficients of variation (0–100 %) were examined in 750 simulations. Results show that friction is the overwhelmingly dominant factor, explaining 97.7 % of the variance, whereas polydispersity plays a minor but friction-dependent role. Low-friction systems are highly sensitive to size variability, with even modest heterogeneity leading to unstable heaps. In contrast, high-friction systems remain robust, tolerating broad distributions without significant precision loss. The simulated high-friction angles also agree well with theoretical and experimental benchmarks, supporting the model's predictive capability. Overall, the findings establish friction-dependent tolerance criteria for particle size heterogeneity and highlight that accurate friction determination is far more predictive than exhaustive size characterization. These insights provide evidence-based guidelines for granular material handling and quality control in industrial practice.</div></div>","PeriodicalId":401,"journal":{"name":"Particuology","volume":"107 ","pages":"Pages 157-165"},"PeriodicalIF":4.3,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145425078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spray dust suppression technology from a bibliometric perspective: Research status and trend prediction based on deep learning","authors":"Yuanyuan Xin ,&nbsp;Zhengcheng Lou ,&nbsp;Jiaqi Guo ,&nbsp;Hailin Gu ,&nbsp;Mingming Chai","doi":"10.1016/j.partic.2025.09.018","DOIUrl":"10.1016/j.partic.2025.09.018","url":null,"abstract":"<div><div>Spray dust suppression technology plays a critical role in controlling coal mine dust and has attracted growing attention in recent years. However, the diversity of research directions has made it difficult to clearly anticipate future developments in the field. To address this, the present study adopts a bibliometric approach, integrating visualization tools such as VOSviewer, CiteSpace, and Scimago with advanced deep learning models including BERTopic, Holt-Winters, Prophet, and Bi-LSTM. A comprehensive analysis was conducted on relevant publications indexed in the Web of Science Core Collection from 1994 to 2024 to identify research hotspots and forecast future trends. The findings reveal that spray dust suppression research has undergone three distinct phases: initial development, steady growth, and rapid expansion, with a marked increase in research activity after 2017. China, the United States, and Australia are the main contributors, with research concentrated in mining-focused universities and institutes. Keyword co-occurrence networks and BERTopic modeling indicate that current research centers on environmental pollution control, spray fluid dynamics simulation, the application of surfactants and charged mist, spray system optimization, and intelligent dust suppression technologies. By combining burst keyword analysis with multi-model forecasting, the study predicts that future research will emphasize the development of novel eco-friendly materials, multi-technology synergistic enhancements, and the construction of intelligent dust suppression systems. The “bibliometric analysis–topic modeling–trend prediction” methodological framework established in this study provides conceptual support for subsequent research.</div></div>","PeriodicalId":401,"journal":{"name":"Particuology","volume":"107 ","pages":"Pages 92-112"},"PeriodicalIF":4.3,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145359688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting granule size via in-line NIR spectroscopy during fluidized bed foam granulation and drying","authors":"Romain Kersaudy ,&nbsp;Maroua Rouabah ,&nbsp;Abdoulah Ly ,&nbsp;Inès Esma Achouri ,&nbsp;Ryan Gosselin ,&nbsp;Nicolas Abatzoglou","doi":"10.1016/j.partic.2025.10.011","DOIUrl":"10.1016/j.partic.2025.10.011","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":401,"journal":{"name":"Particuology","volume":"107 ","pages":"Pages 232-242"},"PeriodicalIF":4.3,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145474238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of staged fluidized-bed gasification systems in Japan: Advances and prospects","authors":"Lianfeng Zhu ,&nbsp;Xiaowen Zhou ,&nbsp;Yushani Alahakoon ,&nbsp;Chao Wang ,&nbsp;Guangwen Xu ,&nbsp;Abuliti Abudula ,&nbsp;Guoqing Guan","doi":"10.1016/j.partic.2025.10.019","DOIUrl":"10.1016/j.partic.2025.10.019","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":401,"journal":{"name":"Particuology","volume":"107 ","pages":"Pages 327-338"},"PeriodicalIF":4.3,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145517079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modeling erosion in dense liquid-solid jet: A comparative study of particle interaction effects using DDPM and DPM","authors":"Xuewen Cao ,&nbsp;Haoxuan Qu ,&nbsp;Zhongying Xu ,&nbsp;Haopeng Zhang ,&nbsp;Zeyu Zhang ,&nbsp;Wenshan Peng ,&nbsp;Jiang Bian","doi":"10.1016/j.partic.2025.10.015","DOIUrl":"10.1016/j.partic.2025.10.015","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":401,"journal":{"name":"Particuology","volume":"107 ","pages":"Pages 274-286"},"PeriodicalIF":4.3,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145525611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Simulation of solid particle erosion wear using discrete element method: Comparison of experimental and analysis results","authors":"Mehmet Esat Aydin ,&nbsp;Veysel Firat ,&nbsp;Mehmet Bagci","doi":"10.1016/j.partic.2025.10.003","DOIUrl":"10.1016/j.partic.2025.10.003","url":null,"abstract":"<div><div>The Discrete Element Method (DEM) stands out as an effective computational tool for modeling complex mechanical wear processes such as solid particle erosion. The DEM method offers significant advantages in terms of providing realistic results, particularly when it comes to examining particle and surface interactions over time and predicting surface deformations. In this study, the effectiveness of DEM in determining the solid particle erosion wear behavior was evaluated by comparing it with experimental data. In the experimental phase, aluminum oxide (Al₂O₃) particles were impacted onto St37 structural steel samples at different impact angles (30°, 60°, 90°) and different quantities (1, 2, 3 kg) to calculate erosion rates. DEM based simulation analyses were performed using the same parameters, and surface deformations were modelled. When compared with experimental data, the simulation results showed high convergence, particularly at high impact angles such as 60° and 90° (5–15 % deviation). However, deviations increased at low impact angles such as 30°. While DEM analyses can successfully predict surface embedment deformations, they have not been able to adequately reflect damage caused by ductile behavior such as sliding. The surface embedment effect has shown a similarity of around 5 % at high impact angles compared to experimental data. In addition, ANOVA tests were applied to the erosion rates found in experiments and simulations to statistically evaluate the results. The test results statistically revealed that the most effective variable on the erosion rate was the angle of impact (p &lt; 0.0001). The results demonstrate that the discrete element method is a reliable approach for modeling solid particle erosion wear behavior and, when used in conjunction with experimental data, can provide effective solutions for predicting and preventing erosion-induced damage during the design phase in systems such as jet engine turbines, space applications, and dust particle interaction engineering problems.</div></div>","PeriodicalId":401,"journal":{"name":"Particuology","volume":"107 ","pages":"Pages 134-156"},"PeriodicalIF":4.3,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145359690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Synthesis of nano FePO4 particles via high-temperature oxidative precipitation in microreactor","authors":"Jing Lao,&nbsp;Zihan Mu,&nbsp;Yangcheng Lu","doi":"10.1016/j.partic.2025.10.007","DOIUrl":"10.1016/j.partic.2025.10.007","url":null,"abstract":"<div><div>A novel high temperature oxidation precipitation method for synthesizing high-purity nano-sized ferric phosphate was proposed. We systematically investigated the impact of reaction temperature on the properties of the ferric phosphate product and its slurry. The study found that the FePO₄ obtained by the high-temperature precipitation method consisted of amorphous nanoparticles with a narrow size distribution around 30 nm. Increasing the reaction temperature did not affect the purity or crystal structure of the particles, but it reduced the viscosity and solid content of the slurry, beneficial for improving the solid-liquid separation efficiency in subsequent production processes. Characterization of products obtained at different reaction temperatures using FTIR, XPS, and ICP-OES revealed that elevated temperatures decreased the content of hydroxyl groups on the surface of the ferric phosphate particles, weakening the adsorption of metal ion impurities on the particle surface and the interaction between particles. The LiFePO₄@C material synthesized using the nano FePO₄ product obtained by the high-temperature oxidative precipitation method as a precursor exhibited good rate performance (137.1 mAh g⁻¹ at 5 C). This high-temperature oxidative precipitation method might enable controllable, continuous, and easily scalable production of nano-sized FePO₄ production.</div></div>","PeriodicalId":401,"journal":{"name":"Particuology","volume":"107 ","pages":"Pages 166-175"},"PeriodicalIF":4.3,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145425079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}