Particuology最新文献

英文中文

Data driven analysis of particulate systems for development of reliable model to determine drag coefficient of non-spherical particles

IF 4.1 2区材料科学 Q2 ENGINEERING, CHEMICAL

Particuology

Pub Date : 2025-02-01 DOI: 10.1016/j.partic.2024.12.006

Tauseeq Hussain , Atta Ullah , Rehan Zubair Khalid , Farooq Ahmad , Fei Li , Asifullah Khan

Non-spherical particles are extensively encountered in the process industry such as feedstock or catalysts e.g., energy, food, pharmaceuticals, and chemicals. The design of equipment used to process these particles is highly dependent upon the accurate and reliable modeling of hydrodynamics of particulate media involved. Drag coefficient of these particles is the most significant of all parameters. A universal model to predict the drag coefficient of such particles has not yet been developed due to the diversity and complexity of particle shapes and sizes. Taking this into consideration, we propose a unique approach to model the drag coefficient of non-spherical particles using machine learning (ML) to move towards generalization. A comprehensive database of approximately five thousand data points from reliable experiments and high-resolution simulations was compiled, covering a wide range of conditions. The drag coefficient was modeled as a function of Reynolds number, sphericity, Corey Shape Factor, aspect ratio, volume fraction, and angle of incidence. Three ML techniques—Artificial Neural Networks, Random Forest, and AdaBoost—were used to train the models. All models demonstrated strong generalization when tested on unseen data. However, AdaBoost outperformed the others with the lowest MAPE (20.1%) and MRD (0.069). Additional analysis on excluded data confirmed the robust predictive abilities and generalization of the proposed model. The models were also evaluated across three flow regimes—Stokes, transitional, and turbulent—to further assess their generalization. A comparative analysis with well-known empirical correlations, such as Haider and Levenspiel and Chien, showed that all ML models outperformed traditional approaches, with AdaBoost achieving the best results. The current work demonstrates that new generated ML techniques can be reliably used to predict drag coefficient of non-spherical particles paving way towards generalization of ML approach.

{"title":"Data driven analysis of particulate systems for development of reliable model to determine drag coefficient of non-spherical particles","authors":"Tauseeq Hussain , Atta Ullah , Rehan Zubair Khalid , Farooq Ahmad , Fei Li , Asifullah Khan","doi":"10.1016/j.partic.2024.12.006","DOIUrl":"10.1016/j.partic.2024.12.006","url":null,"abstract":"<div><div>Non-spherical particles are extensively encountered in the process industry such as feedstock or catalysts e.g., energy, food, pharmaceuticals, and chemicals. The design of equipment used to process these particles is highly dependent upon the accurate and reliable modeling of hydrodynamics of particulate media involved. Drag coefficient of these particles is the most significant of all parameters. A universal model to predict the drag coefficient of such particles has not yet been developed due to the diversity and complexity of particle shapes and sizes. Taking this into consideration, we propose a unique approach to model the drag coefficient of non-spherical particles using machine learning (ML) to move towards generalization. A comprehensive database of approximately five thousand data points from reliable experiments and high-resolution simulations was compiled, covering a wide range of conditions. The drag coefficient was modeled as a function of Reynolds number, sphericity, Corey Shape Factor, aspect ratio, volume fraction, and angle of incidence. Three ML techniques—Artificial Neural Networks, Random Forest, and AdaBoost—were used to train the models. All models demonstrated strong generalization when tested on unseen data. However, AdaBoost outperformed the others with the lowest MAPE (20.1%) and MRD (0.069). Additional analysis on excluded data confirmed the robust predictive abilities and generalization of the proposed model. The models were also evaluated across three flow regimes—Stokes, transitional, and turbulent—to further assess their generalization. A comparative analysis with well-known empirical correlations, such as Haider and Levenspiel and Chien, showed that all ML models outperformed traditional approaches, with AdaBoost achieving the best results. The current work demonstrates that new generated ML techniques can be reliably used to predict drag coefficient of non-spherical particles paving way towards generalization of ML approach.</div></div>","PeriodicalId":401,"journal":{"name":"Particuology","volume":"97 ","pages":"Pages 219-235"},"PeriodicalIF":4.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143134323","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}

引用次数: 0

CFD-DEM modeling of fracture initiation with polymer injection in granular media

IF 4.1 2区材料科学 Q2 ENGINEERING, CHEMICAL

Particuology

Pub Date : 2025-02-01 DOI: 10.1016/j.partic.2024.12.001

Daniyar Kazidenov, Yerlan Amanbek

We numerically study the mechanisms and conditions for fracture initiation in weakly cohesive granular media induced by non-Newtonian polymer solutions. A coupled computational fluid dynamics–discrete element method (CFD-DEM) approach is utilized to model fluid flow in a porous medium. The flow behavior of polymer solutions and the drag force acting on particles are calculated using a power-law model. The adequacy of the numerical model is confirmed by comparing the results with a laboratory experiment. The numerical results are consistent with the experimental data presenting similar trends in dimensionless parameters that incorporate fluid flow rate, rheology, peak pressure, and confining stress. The results show that fluid flow rate, rheology, and solid material characteristics strongly influence fracture initiation behavior. Injection of a more viscous guar-based solution results in wider fractures induced by grain displacement, whereas a less viscous XG-based solution creates more linear fractures dominated by infiltration. The ratio of peak pressures between two fluids is higher in the rigid material than in the softer material. Finally, the dimensionless parameters 1/Π₁ and τ₂, which account for fluid and solid material properties accordingly, are effective indicators in determining fracture initiation induced by shear-thinning fluids. Our numerical results show that fracture initiation occurs above 1/Π₁ = 0.06 and τ₂ = 2 ⋅ 10⁻⁷.

{"title":"CFD-DEM modeling of fracture initiation with polymer injection in granular media","authors":"Daniyar Kazidenov, Yerlan Amanbek","doi":"10.1016/j.partic.2024.12.001","DOIUrl":"10.1016/j.partic.2024.12.001","url":null,"abstract":"<div><div>We numerically study the mechanisms and conditions for fracture initiation in weakly cohesive granular media induced by non-Newtonian polymer solutions. A coupled computational fluid dynamics–discrete element method (CFD-DEM) approach is utilized to model fluid flow in a porous medium. The flow behavior of polymer solutions and the drag force acting on particles are calculated using a power-law model. The adequacy of the numerical model is confirmed by comparing the results with a laboratory experiment. The numerical results are consistent with the experimental data presenting similar trends in dimensionless parameters that incorporate fluid flow rate, rheology, peak pressure, and confining stress. The results show that fluid flow rate, rheology, and solid material characteristics strongly influence fracture initiation behavior. Injection of a more viscous guar-based solution results in wider fractures induced by grain displacement, whereas a less viscous XG-based solution creates more linear fractures dominated by infiltration. The ratio of peak pressures between two fluids is higher in the rigid material than in the softer material. Finally, the dimensionless parameters 1/Π<sub>1</sub> and <em>τ</em><sub>2</sub>, which account for fluid and solid material properties accordingly, are effective indicators in determining fracture initiation induced by shear-thinning fluids. Our numerical results show that fracture initiation occurs above 1/Π<sub>1</sub> = 0.06 and <em>τ</em><sub>2</sub> = 2 ⋅ 10<sup>−7</sup>.</div></div>","PeriodicalId":401,"journal":{"name":"Particuology","volume":"97 ","pages":"Pages 58-68"},"PeriodicalIF":4.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143134455","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}

引用次数: 0

A review of airborne microorganism transmission and control in household indoor air

IF 4.1 2区材料科学 Q2 ENGINEERING, CHEMICAL

Particuology

Pub Date : 2025-02-01 DOI: 10.1016/j.partic.2024.12.008

Yulei Zhao , Mingyu Xiong , Yu Huang , Kin-fai Ho , Junji Cao , Long Cui

People spend the majority of their time indoors. Indoor airborne microorganisms, comprised of airborne particles containing fungi, bacteria, and virus present a significant concern in household environment due to their potential implications for indoor air quality and human health. This review synthesizes recent advancements in the fields of indoor air quality science, microbiology, and environmental engineering, providing insights into the sources, concentrations, transmission, influencing factors and control technology of indoor airborne microorganisms in residential environments. Factors such as occupant activities, pets, indoor temperature, humidity, and ventilation systems are critical in shaping the patterns and quantities of these microorganisms.

引用次数: 0

Optical and radiative properties of coated black carbon during hygroscopic growth and retrieval errors of mixing state using single-particle soot photometer

IF 4.1 2区材料科学 Q2 ENGINEERING, CHEMICAL

Particuology

Pub Date : 2025-02-01 DOI: 10.1016/j.partic.2024.12.010

Jia Liu , Donghui Zhou , Cancan Zhu , Jinbao Han , Bo Yin

Under environment with various water contents, the variations in the mixing state and particle size of coated black carbon (BC) aerosols cause changes in optical and radiative effects. In this study, fractal models for thinly, partially, and thickly coated BC under six relative humidities (RHs = 0–95%) are constructed and optically simulated at 1064 and 532 nm. Differential scattering cross-sections are selected to retrieve the mixing state (D_p/D_c) of BC to investigate the possible retrieval errors caused by the nonspherical morphology when using the single-particle soot photometer (SP2). Furthermore, the radiative forcing of BC aerosols at different RHs are analyzed. Results showed that the retrieval errors (REs) of D_p/D_c are negative for coated particles with BC volume fraction smaller than 0.10, indicating that the mixing states of coated fractal BC are underestimated during the hygroscopic growth. The partially-coated BC has the best retrieval accuracy of the mixing state, followed by the closed-cell and coated-aggregate model, judging from averaged REs. Radiative forcing enhancements for partially-coated aerosols with different BC volume fractions exponentially increase to opposite values, resulting in a warming or cooling effect. This study helps understand the uncertainties in D_p/D_c of BC aerosols retrieved by SP2 and their radiative forcing at different RHs.

{"title":"Optical and radiative properties of coated black carbon during hygroscopic growth and retrieval errors of mixing state using single-particle soot photometer","authors":"Jia Liu , Donghui Zhou , Cancan Zhu , Jinbao Han , Bo Yin","doi":"10.1016/j.partic.2024.12.010","DOIUrl":"10.1016/j.partic.2024.12.010","url":null,"abstract":"<div><div>Under environment with various water contents, the variations in the mixing state and particle size of coated black carbon (BC) aerosols cause changes in optical and radiative effects. In this study, fractal models for thinly, partially, and thickly coated BC under six relative humidities (RHs = 0–95%) are constructed and optically simulated at 1064 and 532 nm. Differential scattering cross-sections are selected to retrieve the mixing state (<em>D</em><sub><em>p</em></sub>/<em>D</em><sub><em>c</em></sub>) of BC to investigate the possible retrieval errors caused by the nonspherical morphology when using the single-particle soot photometer (SP2). Furthermore, the radiative forcing of BC aerosols at different RHs are analyzed. Results showed that the retrieval errors (REs) of <em>D</em><sub><em>p</em></sub><em>/D</em><sub><em>c</em></sub> are negative for coated particles with BC volume fraction smaller than 0.10, indicating that the mixing states of coated fractal BC are underestimated during the hygroscopic growth. The partially-coated BC has the best retrieval accuracy of the mixing state, followed by the closed-cell and coated-aggregate model, judging from averaged REs. Radiative forcing enhancements for partially-coated aerosols with different BC volume fractions exponentially increase to opposite values, resulting in a warming or cooling effect. This study helps understand the uncertainties in <em>D</em><sub><em>p</em></sub>/<em>D</em><sub><em>c</em></sub> of BC aerosols retrieved by SP2 and their radiative forcing at different RHs.</div></div>","PeriodicalId":401,"journal":{"name":"Particuology","volume":"97 ","pages":"Pages 183-192"},"PeriodicalIF":4.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143134464","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}

引用次数: 0

Numerical simulations of gas-liquid-solid circulating flows coupled to mesoscale parameters and measurements

IF 4.1 2区材料科学 Q2 ENGINEERING, CHEMICAL

Particuology

Pub Date : 2025-02-01 DOI: 10.1016/j.partic.2024.12.013

Lubin Zhang , Yongli Ma , Mingyan Liu

Gas-liquid-solid circulating fluidized bed (GLSCFB) is an important type of chemical reactor. The complex mesoscale flow structure of GLSCFB was described through the mesoscale flow structure parameters based on the energy-minimization multi-scale (EMMS) model. The liquid-solid drag force model (Drag-ls model) was proposed and it was found that the drag coefficient between liquid and solid in three-phase systems increased compared to liquid-solid two-phase systems because of the influence of gas phase. The gas-solid drag force model (Drag-gs model) was proposed based on a modified unified wake model. Furthermore, the combination of EMMS model and computational fluid dynamics (CFD) in GLSCFB was implemented, and the dynamic evolution process of particle clusters and distributions of gas holdup and solid holdup in GLSCFB were simulated more accurately by the models. The simulation results indicate that the drag forces exerted on the solid phase by both the liquid and gas phases are coupled and mutually influence each other. The simulated values of solid holdup may deviate from the experimental values if the interactions between the gas-solid and liquid-solid phases are corrected independently. When the average solid holdup of the bed is low, the mesoscale phenomena such as particle aggregation are not obvious. As the solid holdup increases, there is a significant phenomenon of particle aggregation in the bed. The particles undergo a spatiotemporal evolution process of forming elongated clusters with high solid holdup, spherical clusters with high solid holdup, and clusters with low solid holdup which has large surface areas.

{"title":"Numerical simulations of gas-liquid-solid circulating flows coupled to mesoscale parameters and measurements","authors":"Lubin Zhang , Yongli Ma , Mingyan Liu","doi":"10.1016/j.partic.2024.12.013","DOIUrl":"10.1016/j.partic.2024.12.013","url":null,"abstract":"<div><div>Gas-liquid-solid circulating fluidized bed (GLSCFB) is an important type of chemical reactor. The complex mesoscale flow structure of GLSCFB was described through the mesoscale flow structure parameters based on the energy-minimization multi-scale (EMMS) model. The liquid-solid drag force model (Drag-ls model) was proposed and it was found that the drag coefficient between liquid and solid in three-phase systems increased compared to liquid-solid two-phase systems because of the influence of gas phase. The gas-solid drag force model (Drag-gs model) was proposed based on a modified unified wake model. Furthermore, the combination of EMMS model and computational fluid dynamics (CFD) in GLSCFB was implemented, and the dynamic evolution process of particle clusters and distributions of gas holdup and solid holdup in GLSCFB were simulated more accurately by the models. The simulation results indicate that the drag forces exerted on the solid phase by both the liquid and gas phases are coupled and mutually influence each other. The simulated values of solid holdup may deviate from the experimental values if the interactions between the gas-solid and liquid-solid phases are corrected independently. When the average solid holdup of the bed is low, the mesoscale phenomena such as particle aggregation are not obvious. As the solid holdup increases, there is a significant phenomenon of particle aggregation in the bed. The particles undergo a spatiotemporal evolution process of forming elongated clusters with high solid holdup, spherical clusters with high solid holdup, and clusters with low solid holdup which has large surface areas.</div></div>","PeriodicalId":401,"journal":{"name":"Particuology","volume":"97 ","pages":"Pages 236-256"},"PeriodicalIF":4.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143134324","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}

引用次数: 0

A novel critical velocity model for the incipient motion of non-spherical particles on cuttings bed in extended reach wells

IF 4.1 2区材料科学 Q2 ENGINEERING, CHEMICAL

Particuology

Pub Date : 2025-02-01 DOI: 10.1016/j.partic.2024.12.011

Wei Hu , Ning Guan , Jinya Zhang , Binggui Xu , Hongwu Zhu

Accurately predicting the minimum velocity required to initiate particles movement on a cuttings bed surface during drilling operations is crucial for efficient and cost-effective removal of deposited particles. However, current models neglect the influence of particle shape on the drag coefficient and static friction coefficient during rolling and sliding on a cuttings bed. Accordingly, this study developed an experimental setup for cuttings transport and employed both theoretical analysis and experimental methods to investigate the critical velocity for the incipient motion of particles under various operational conditions. A novel semi-mechanical criterion model was developed for the incipient motion of particles, incorporating a shape correction factor for non-spherical particles. A balance equation for the threshold Shields number, determined by particle driving forces and resistances, was established, and a numerical procedure was formulated to determine the critical velocity for the incipient motion of particles. The model predictions show strong agreement with experimental results. The study found that higher eccentricity, inclination, and fluid viscosity increased the difficulty of initiating particle movement on the cuttings bed surface, thus requiring higher annular velocities for effective cuttings removal. Conversely, increasing particle size facilitated easier removal of the cuttings bed. Compared to non-Newtonian fluids, Newtonian fluids proved more effective in cuttings removal. The findings of this study are significant for optimizing hole cleaning parameters and improving the efficiency of cuttings removal.

{"title":"A novel critical velocity model for the incipient motion of non-spherical particles on cuttings bed in extended reach wells","authors":"Wei Hu , Ning Guan , Jinya Zhang , Binggui Xu , Hongwu Zhu","doi":"10.1016/j.partic.2024.12.011","DOIUrl":"10.1016/j.partic.2024.12.011","url":null,"abstract":"<div><div>Accurately predicting the minimum velocity required to initiate particles movement on a cuttings bed surface during drilling operations is crucial for efficient and cost-effective removal of deposited particles. However, current models neglect the influence of particle shape on the drag coefficient and static friction coefficient during rolling and sliding on a cuttings bed. Accordingly, this study developed an experimental setup for cuttings transport and employed both theoretical analysis and experimental methods to investigate the critical velocity for the incipient motion of particles under various operational conditions. A novel semi-mechanical criterion model was developed for the incipient motion of particles, incorporating a shape correction factor for non-spherical particles. A balance equation for the threshold Shields number, determined by particle driving forces and resistances, was established, and a numerical procedure was formulated to determine the critical velocity for the incipient motion of particles. The model predictions show strong agreement with experimental results. The study found that higher eccentricity, inclination, and fluid viscosity increased the difficulty of initiating particle movement on the cuttings bed surface, thus requiring higher annular velocities for effective cuttings removal. Conversely, increasing particle size facilitated easier removal of the cuttings bed. Compared to non-Newtonian fluids, Newtonian fluids proved more effective in cuttings removal. The findings of this study are significant for optimizing hole cleaning parameters and improving the efficiency of cuttings removal.</div></div>","PeriodicalId":401,"journal":{"name":"Particuology","volume":"97 ","pages":"Pages 193-206"},"PeriodicalIF":4.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143134325","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}

引用次数: 0

DEM investigation into the coupling effects of particle asphericity and interface roughness on shear behaviour of soil-structure interface

IF 4.1 2区材料科学 Q2 ENGINEERING, CHEMICAL

Particuology

Pub Date : 2025-02-01 DOI: 10.1016/j.partic.2024.11.019

Dong Su , Dongzhan Wu , Meng Fan , Runqi Zhang , Jianhang Chen , Hao Xiong , Xiangsheng Chen

Soil-structure interfaces (SSI) are common in geotechnical structures, and understanding their shear behavior is essential for effective design. However, the coupling effects of particle shape and interface roughness on SSI remain understudied. This study addresses this gap by employing five types of super-ellipsoid particles with varying asphericity (η) values to model non-spherical particles. Interface shear tests with different roughness levels (R_n) were conducted using Discrete Element Method (DEM) simulations. The results show that both η and R_n significantly influence shear strength, localized shear band thickness, and soil fabric, with two types of coupling effects: single-factor dominance and double-factor interaction. The influence on coordination number (C_n) and probability distribution of normalized contact force is more straightforward. Specifically, non-spherical particles exhibit a higher initial C_n due to enhanced interlocking, while R_n has a lesser impact. The normalized contact force at the interface follows an exponential distribution, similar to pure soil, and is largely independent of η and R_n. Notably, the shear zone is divided into three equal parts for soil fabric analysis. These findings offer new insights into SSI, contributing to more effective and safer geotechnical designs.

{"title":"DEM investigation into the coupling effects of particle asphericity and interface roughness on shear behaviour of soil-structure interface","authors":"Dong Su , Dongzhan Wu , Meng Fan , Runqi Zhang , Jianhang Chen , Hao Xiong , Xiangsheng Chen","doi":"10.1016/j.partic.2024.11.019","DOIUrl":"10.1016/j.partic.2024.11.019","url":null,"abstract":"<div><div>Soil-structure interfaces (SSI) are common in geotechnical structures, and understanding their shear behavior is essential for effective design. However, the coupling effects of particle shape and interface roughness on SSI remain understudied. This study addresses this gap by employing five types of super-ellipsoid particles with varying asphericity (<em>η</em>) values to model non-spherical particles. Interface shear tests with different roughness levels (<em>R</em><sub><em>n</em></sub>) were conducted using Discrete Element Method (DEM) simulations. The results show that both <em>η</em> and <em>R</em><sub><em>n</em></sub> significantly influence shear strength, localized shear band thickness, and soil fabric, with two types of coupling effects: single-factor dominance and double-factor interaction. The influence on coordination number (<em>C</em><sub><em>n</em></sub>) and probability distribution of normalized contact force is more straightforward. Specifically, non-spherical particles exhibit a higher initial <em>C</em><sub><em>n</em></sub> due to enhanced interlocking, while <em>R</em><sub><em>n</em></sub> has a lesser impact. The normalized contact force at the interface follows an exponential distribution, similar to pure soil, and is largely independent of <em>η</em> and <em>R</em><sub><em>n</em></sub>. Notably, the shear zone is divided into three equal parts for soil fabric analysis. These findings offer new insights into SSI, contributing to more effective and safer geotechnical designs.</div></div>","PeriodicalId":401,"journal":{"name":"Particuology","volume":"97 ","pages":"Pages 39-57"},"PeriodicalIF":4.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143134454","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}

引用次数: 0

Experimental study on single-unit solid particle packed bed for thermal energy storage of extracted steam from thermal power plant to consume more renewable energy

IF 4.1 2区材料科学 Q2 ENGINEERING, CHEMICAL

Particuology

Pub Date : 2025-02-01 DOI: 10.1016/j.partic.2024.12.007

Xiang Liu, Huaan Li, Laiquan Lv, Lijia Wei, Hao Zhou

Solid particles instead of molten salt as a heat storage medium for extracted steam energy storage are essential in thermal power flexibility retrofit. This study constructs a charge-discharge experimental device using by-products from the steel industry as heat storage materials, similar to a battery cell, which is easily scalable and accomplishes the steam-solid particle-steam energy conversion. Investigation parameters include temperature distribution, power variation, and cycle efficiency for different charging and discharging modes. Results indicate that the charging mode II outperforms mode I in temperature uniformity, charging flow rate, and pressure loss, yielding higher charging power and total convective heat transfer coefficients at 13 kW and 275 W/(m² K), respectively. The pilot device demonstrates commendable insulating properties. Its heat dissipation rate is approximately 33.33%, which surpasses that of reported thermal storage devices. Moreover, the mode II exhibits superior temperature non-uniformity during heat release, ensuring that 40 kg/h of superheated steam at 220 °C can be produced continuously for 5 min. The cycling efficiency is noteworthy, reaching 65% in low flow rate discharge, accompanied by 79% charging efficiency and 82% discharging efficiency. A temperature difference cloud map elucidates the primary phase change region, emphasizing preheating, evaporation, and superheating segments. Experimental results provide new ideas for combining waste elimination in the steel industry and energy storage in thermal power plants.

{"title":"Experimental study on single-unit solid particle packed bed for thermal energy storage of extracted steam from thermal power plant to consume more renewable energy","authors":"Xiang Liu, Huaan Li, Laiquan Lv, Lijia Wei, Hao Zhou","doi":"10.1016/j.partic.2024.12.007","DOIUrl":"10.1016/j.partic.2024.12.007","url":null,"abstract":"<div><div>Solid particles instead of molten salt as a heat storage medium for extracted steam energy storage are essential in thermal power flexibility retrofit. This study constructs a charge-discharge experimental device using by-products from the steel industry as heat storage materials, similar to a battery cell, which is easily scalable and accomplishes the steam-solid particle-steam energy conversion. Investigation parameters include temperature distribution, power variation, and cycle efficiency for different charging and discharging modes. Results indicate that the charging mode II outperforms mode I in temperature uniformity, charging flow rate, and pressure loss, yielding higher charging power and total convective heat transfer coefficients at 13 kW and 275 W/(m<sup>2</sup> K), respectively. The pilot device demonstrates commendable insulating properties. Its heat dissipation rate is approximately 33.33%, which surpasses that of reported thermal storage devices. Moreover, the mode II exhibits superior temperature non-uniformity during heat release, ensuring that 40 kg/h of superheated steam at 220 °C can be produced continuously for 5 min. The cycling efficiency is noteworthy, reaching 65% in low flow rate discharge, accompanied by 79% charging efficiency and 82% discharging efficiency. A temperature difference cloud map elucidates the primary phase change region, emphasizing preheating, evaporation, and superheating segments. Experimental results provide new ideas for combining waste elimination in the steel industry and energy storage in thermal power plants.</div></div>","PeriodicalId":401,"journal":{"name":"Particuology","volume":"97 ","pages":"Pages 99-116"},"PeriodicalIF":4.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143134457","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}

引用次数: 0

Three-dimensional CFD-DEM investigation of dynamic characteristics of biomass particles in a conical spouted bed

IF 4.1 2区材料科学 Q2 ENGINEERING, CHEMICAL

Particuology

Pub Date : 2025-02-01 DOI: 10.1016/j.partic.2024.11.013

Ming Hao , Xiaolong Xing

A numerical investigation of the three-dimensional conical spouted bed was conducted using CFD coupled with discrete element method to systematically analyze particle-gas flow patterns, bubble volume fluctuations, and fountain characteristics. Moreover, the impact of conical angles on dynamic characteristics is demonstrated under varying gas inlet velocity and particle diameter. Firstly, the simulation result shows that increasing the conical angle is advantageous for enhancing both y-direction and angular velocities of particles, while the impact of this angle varies with inlet velocity and particle diameter. The great inlet velocity and particle diameter significantly enhance the voidage, while the larger conical angle promotes the uniform radial particle distribution. Besides, smaller conical angle and medium inlet velocity is prone to result in the higher frequency and amplitude for the fluctuations of particle height. Meanwhile, enlarging the conical angle results in a shift of the fountain frequency from high to low when the particle size is small. The conical angle plays a crucial role in determining bubble behavior under the condition of medium velocity and small diameter. Besides, the fine particle and small conical angle are prone to cause the noticeable main frequencies.

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引用次数: 0

Green synthesis and eco-biological evaluation of Ag/Fe bimetallic nanoparticles using Vallaris solanacea leaf extract targeting insecticide resistance

IF 4.1 2区材料科学 Q2 ENGINEERING, CHEMICAL

Particuology

Pub Date : 2025-02-01 DOI: 10.1016/j.partic.2024.12.003

Arooj Azeem , Muhammad Naveed , Sarmad Mahmood , Shafiq ur Rehman , Tariq Aziz , Nouf A. Assiri , Sahar A. Alshareef , Maha Aljabri , Rewaa S. Jalal , Fakhria A. Al-Joufi

The emergence of insecticide resistance presents a major challenge in pest control and agriculture, while the use of conventional pesticides raises environmental and health concerns. This study addresses these issues through the green synthesis of Ag/Fe bimetallic nanoparticles (BMNPs) using Vallaris solanacea plant extract and evaluates their eco-biological activities. The synthesized Ag/Fe BMNPs, with an average size of 30 nm as determined by SEM, were characterized by UV–Vis spectroscopy, FTIR, EDX, and SEM. In vitro assays revealed significant anti-inflammatory (91%), antioxidant (95%), anti-diabetic, anti-hemolytic, and antimicrobial activities. Additionally, the nanoparticles demonstrated 100% mortality against Sitophilus oryzae (rice weevil) and exhibited 97% degradation of the pesticide Novacide, indicating potent pesticidal and environmental remediation capabilities. Computational analysis, including molecular docking and molecular dynamics simulations, revealed strong interactions between Ag/Fe BMNPs and insecticide resistance (IR) proteins, with binding energies surpassing those of traditional pesticides, suggesting an ability to circumvent resistance mechanisms. These findings highlight the potential of Ag/Fe BMNPs as a sustainable, eco-friendly alternative for pest management and environmental applications in agriculture and beyond.

{"title":"Green synthesis and eco-biological evaluation of Ag/Fe bimetallic nanoparticles using Vallaris solanacea leaf extract targeting insecticide resistance","authors":"Arooj Azeem , Muhammad Naveed , Sarmad Mahmood , Shafiq ur Rehman , Tariq Aziz , Nouf A. Assiri , Sahar A. Alshareef , Maha Aljabri , Rewaa S. Jalal , Fakhria A. Al-Joufi","doi":"10.1016/j.partic.2024.12.003","DOIUrl":"10.1016/j.partic.2024.12.003","url":null,"abstract":"<div><div>The emergence of insecticide resistance presents a major challenge in pest control and agriculture, while the use of conventional pesticides raises environmental and health concerns. This study addresses these issues through the green synthesis of Ag/Fe bimetallic nanoparticles (BMNPs) using <em>Vallaris solanacea</em> plant extract and evaluates their eco-biological activities. The synthesized Ag/Fe BMNPs, with an average size of 30 nm as determined by SEM, were characterized by UV–Vis spectroscopy, FTIR, EDX, and SEM. In vitro assays revealed significant anti-inflammatory (91%), antioxidant (95%), anti-diabetic, anti-hemolytic, and antimicrobial activities. Additionally, the nanoparticles demonstrated 100% mortality against <em>Sitophilus oryzae</em> (rice weevil) and exhibited 97% degradation of the pesticide Novacide, indicating potent pesticidal and environmental remediation capabilities. Computational analysis, including molecular docking and molecular dynamics simulations, revealed strong interactions between Ag/Fe BMNPs and insecticide resistance (IR) proteins, with binding energies surpassing those of traditional pesticides, suggesting an ability to circumvent resistance mechanisms. These findings highlight the potential of Ag/Fe BMNPs as a sustainable, eco-friendly alternative for pest management and environmental applications in agriculture and beyond.</div></div>","PeriodicalId":401,"journal":{"name":"Particuology","volume":"97 ","pages":"Pages 80-98"},"PeriodicalIF":4.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143134465","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}

引用次数: 0

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