Pub Date : 2025-12-01Epub Date: 2025-10-18DOI: 10.1016/j.partic.2025.10.006
Klidi Qyteti , Salvatore la Manna , Enric Illana , Diego Barletta , Massimo Poletto , Viktor Scherer
In particle systems, understanding mechanical interactions between particles is fundamental for accurately predicting material behavior under various conditions, especially when cohesive forces play a critical role. The Discrete Element Method (DEM) is able to model these interactions based on material as well as contact properties. This paper evaluates the accuracy of DEM in predicting material behavior, for which a cost-effective cohesion model is implemented within an in-house DEM code. Simulations of wooden particles in a shear cell, with and without grease coating, are able to replicate the corresponding experimental results. The addition of the cohesion model results in a negligible increase in computational effort, which is of key importance for its application to larger systems.
{"title":"Discrete element modeling of shear cell experiments with cohesive wooden spheres","authors":"Klidi Qyteti , Salvatore la Manna , Enric Illana , Diego Barletta , Massimo Poletto , Viktor Scherer","doi":"10.1016/j.partic.2025.10.006","DOIUrl":"10.1016/j.partic.2025.10.006","url":null,"abstract":"<div><div>In particle systems, understanding mechanical interactions between particles is fundamental for accurately predicting material behavior under various conditions, especially when cohesive forces play a critical role. The Discrete Element Method (DEM) is able to model these interactions based on material as well as contact properties. This paper evaluates the accuracy of DEM in predicting material behavior, for which a cost-effective cohesion model is implemented within an in-house DEM code. Simulations of wooden particles in a shear cell, with and without grease coating, are able to replicate the corresponding experimental results. The addition of the cohesion model results in a negligible increase in computational effort, which is of key importance for its application to larger systems.</div></div>","PeriodicalId":401,"journal":{"name":"Particuology","volume":"107 ","pages":"Pages 300-312"},"PeriodicalIF":4.3,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145525686","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}
Pub Date : 2025-12-01Epub Date: 2025-10-17DOI: 10.1016/j.partic.2025.10.002
Songming Yao, Lei Liu
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.
{"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, 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<sup>−1</sup> 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}
Pub Date : 2025-12-01Epub Date: 2025-10-16DOI: 10.1016/j.partic.2025.10.004
Utkan Çalışkan, Sanja Mišković
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.
{"title":"Simulation and analysis of bulk particle water entry dynamics using MP-PIC-VOF: A new volume-conservative model","authors":"Utkan Çalışkan, 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}
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.
{"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 , Yu-Chieh Ting , Yong-Ming Dai , 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}
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.
喷雾抑尘技术在煤矿粉尘治理中起着至关重要的作用，近年来受到越来越多的关注。然而，研究方向的多样性使得很难清晰地预测该领域的未来发展。为了解决这个问题，本研究采用文献计量学方法，将可视化工具（如VOSviewer， CiteSpace和Scimago）与先进的深度学习模型（包括BERTopic， Holt-Winters， Prophet和Bi-LSTM）集成在一起。对1994 - 2024年Web of Science Core Collection收录的相关文献进行综合分析，确定研究热点，预测未来趋势。研究结果表明，喷雾降尘研究经历了初始发展、稳定增长和快速扩张三个阶段，2017年以后研究活动明显增加。中国、美国和澳大利亚是主要贡献者，研究集中在以矿业为重点的大学和研究所。关键词共现网络和BERTopic建模表明，目前的研究重点是环境污染控制、喷雾流体动力学仿真、表面活性剂和带电雾的应用、喷雾系统优化和智能抑尘技术。将突发关键词分析与多模型预测相结合，预测未来研究重点将放在新型环保材料的开发、多技术协同增强、智能降尘系统的建设等方面。本研究建立的“文献计量分析-主题建模-趋势预测”方法框架为后续研究提供了概念支持。
{"title":"Spray dust suppression technology from a bibliometric perspective: Research status and trend prediction based on deep learning","authors":"Yuanyuan Xin , Zhengcheng Lou , Jiaqi Guo , Hailin Gu , 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}
Pub Date : 2025-12-01Epub Date: 2025-10-27DOI: 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.
{"title":"Predicting granule size via in-line NIR spectroscopy during fluidized bed foam granulation and drying","authors":"Romain Kersaudy , Maroua Rouabah , Abdoulah Ly , Inès Esma Achouri , Ryan Gosselin , 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}
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.
{"title":"Development of staged fluidized-bed gasification systems in Japan: Advances and prospects","authors":"Lianfeng Zhu , Xiaowen Zhou , Yushani Alahakoon , Chao Wang , Guangwen Xu , Abuliti Abudula , 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 CO<sub>2</sub>-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}
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.
{"title":"Modeling erosion in dense liquid-solid jet: A comparative study of particle interaction effects using DDPM and DPM","authors":"Xuewen Cao , Haoxuan Qu , Zhongying Xu , Haopeng Zhang , Zeyu Zhang , Wenshan Peng , 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}
Pub Date : 2025-12-01Epub Date: 2025-10-17DOI: 10.1016/j.partic.2025.10.003
Mehmet Esat Aydin , Veysel Firat , Mehmet Bagci
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 < 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.
{"title":"Simulation of solid particle erosion wear using discrete element method: Comparison of experimental and analysis results","authors":"Mehmet Esat Aydin , Veysel Firat , 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 (Al<sub>2</sub>O<sub>3</sub>) 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 < 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}
Pub Date : 2025-12-01Epub Date: 2025-10-23DOI: 10.1016/j.partic.2025.10.007
Jing Lao, Zihan Mu, Yangcheng Lu
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.
提出了一种高温氧化沉淀法合成高纯度纳米磷酸铁的新方法。系统地研究了反应温度对磷酸铁产品及其浆料性能的影响。研究发现，高温沉淀法制备的FePO4由非晶纳米颗粒组成，粒径分布在30 nm左右。提高反应温度不影响颗粒的纯度和晶体结构，但降低了料浆的粘度和固含量，有利于在后续生产工艺中提高固液分离效率。利用FTIR、XPS和ICP-OES对不同反应温度下得到的产物进行表征，发现温度升高降低了磷酸铁颗粒表面羟基的含量，减弱了金属离子杂质在颗粒表面的吸附和颗粒间的相互作用。以高温氧化沉淀法得到的纳米FePO4产物为前驱体合成的LiFePO4@C材料具有良好的速率性能（5℃时为137.1 mAh g−1）。这种高温氧化沉淀法可以实现可控、连续和易于扩展的纳米FePO4生产。
{"title":"Synthesis of nano FePO4 particles via high-temperature oxidative precipitation in microreactor","authors":"Jing Lao, Zihan Mu, 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 FePO<sub>4</sub> 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 LiFePO<sub>4</sub>@C material synthesized using the nano FePO<sub>4</sub> product obtained by the high-temperature oxidative precipitation method as a precursor exhibited good rate performance (137.1 mAh g<sup>−1</sup> at 5 C). This high-temperature oxidative precipitation method might enable controllable, continuous, and easily scalable production of nano-sized FePO<sub>4</sub> 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}
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