Pub Date : 2024-10-24DOI: 10.1016/j.powtec.2024.120391
Jiangang Ku , Jujian Yan , Jun Xia , Zhaolian Wang , Quanxiang Yan , Zhongyun Lei , Qian Wang
The application of rotating magnetic field can reduce the effect of agglomeration of fine-grained strong magnetic minerals in the sorting process. In this study, a three-dimensional finite element model of two spherical magnetic particles agglomerated in a rotating magnetic field is established, and a rotating magnetic field is constructed using a quadrupole magnet to verify the simulation results. The results show that the numerical simulation results can predict the experimental results more accurately, and the trajectories of the magnetic particles in the agglomeration process are centrosymmetric spiral curves. The utilization of the rotating magnetic field as well as increasing the rotating magnetic field speed, magnetic field strength, and the initial spacing of the magnetic particles will enhance the tendency of the magnetic particles to get rid of the agglomeration.
{"title":"Manipulating three-dimensional magnetic particles motion in a rotating magnetic field","authors":"Jiangang Ku , Jujian Yan , Jun Xia , Zhaolian Wang , Quanxiang Yan , Zhongyun Lei , Qian Wang","doi":"10.1016/j.powtec.2024.120391","DOIUrl":"10.1016/j.powtec.2024.120391","url":null,"abstract":"<div><div>The application of rotating magnetic field can reduce the effect of agglomeration of fine-grained strong magnetic minerals in the sorting process. In this study, a three-dimensional finite element model of two spherical magnetic particles agglomerated in a rotating magnetic field is established, and a rotating magnetic field is constructed using a quadrupole magnet to verify the simulation results. The results show that the numerical simulation results can predict the experimental results more accurately, and the trajectories of the magnetic particles in the agglomeration process are centrosymmetric spiral curves. The utilization of the rotating magnetic field as well as increasing the rotating magnetic field speed, magnetic field strength, and the initial spacing of the magnetic particles will enhance the tendency of the magnetic particles to get rid of the agglomeration.</div></div>","PeriodicalId":407,"journal":{"name":"Powder Technology","volume":"449 ","pages":"Article 120391"},"PeriodicalIF":4.5,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142653859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-24DOI: 10.1016/j.powtec.2024.120393
Wenguang Nan , Lanzhou Ge , Ziming He , Zhonggang Sun , Jinzhong Lu
Powder-based additive manufacturing (AM) technology has been widely used in various industries. The powder spreading process and its spreadability play a crucial role in ensuring the quality of the final product and the overall production system. This review aims to provide a comprehensive understanding of the issues related to powder spreading and spreadability in AM, as they significantly impact production consistency, process optimisation, and manufacturing cost reduction. A clear definition of spreadability and its corresponding metrics are presented, and the difference between the spreadability and flowability is also clarified. Meanwhile, the factors influencing the spreadability and spreading process, including the powder mixture and gas atmosphere, are thoroughly reviewed. The underlying mechanisms of these factors are discussed and summarised, particularly the critical spreading speed and the shear band developed in front of the spreader. Furthermore, the defects within the spread layer are carefully classified with a summary of the corresponding causes and mechanisms, in which the importance of particle jamming is clarified. The detection of defects using machine learning and the optimisation of spreadability are also reviewed. Finally, future trends and research opportunities, such as the integration of artificial intelligence into in-situ defect detection and subsequent adjustment of spreading conditions, are highlighted.
粉末增材制造（AM）技术已广泛应用于各行各业。粉末铺展工艺及其可铺展性对确保最终产品和整个生产系统的质量起着至关重要的作用。本综述旨在全面了解 AM 中与粉末铺展和可铺展性相关的问题，因为这些问题对生产一致性、工艺优化和降低制造成本有重大影响。文中给出了铺展性的明确定义及其相应指标，并阐明了铺展性与流动性之间的区别。同时，对影响铺展性和铺展过程的因素（包括粉末混合物和气体环境）进行了深入探讨。讨论并总结了这些因素的内在机理，特别是临界铺展速度和铺展器前方形成的剪切带。此外，还对铺展层内的缺陷进行了仔细分类，并总结了相应的原因和机制，其中阐明了颗粒堵塞的重要性。此外，还综述了利用机器学习检测缺陷和优化铺展性的方法。最后，还强调了未来的趋势和研究机会，如将人工智能整合到现场缺陷检测和随后的铺展条件调整中。
{"title":"Powder spreading and spreadability in powder-based additive manufacturing: State of the art and perspectives","authors":"Wenguang Nan , Lanzhou Ge , Ziming He , Zhonggang Sun , Jinzhong Lu","doi":"10.1016/j.powtec.2024.120393","DOIUrl":"10.1016/j.powtec.2024.120393","url":null,"abstract":"<div><div>Powder-based additive manufacturing (AM) technology has been widely used in various industries. The powder spreading process and its spreadability play a crucial role in ensuring the quality of the final product and the overall production system. This review aims to provide a comprehensive understanding of the issues related to powder spreading and spreadability in AM, as they significantly impact production consistency, process optimisation, and manufacturing cost reduction. A clear definition of spreadability and its corresponding metrics are presented, and the difference between the spreadability and flowability is also clarified. Meanwhile, the factors influencing the spreadability and spreading process, including the powder mixture and gas atmosphere, are thoroughly reviewed. The underlying mechanisms of these factors are discussed and summarised, particularly the critical spreading speed and the shear band developed in front of the spreader. Furthermore, the defects within the spread layer are carefully classified with a summary of the corresponding causes and mechanisms, in which the importance of particle jamming is clarified. The detection of defects using machine learning and the optimisation of spreadability are also reviewed. Finally, future trends and research opportunities, such as the integration of artificial intelligence into in-situ defect detection and subsequent adjustment of spreading conditions, are highlighted.</div></div>","PeriodicalId":407,"journal":{"name":"Powder Technology","volume":"449 ","pages":"Article 120393"},"PeriodicalIF":4.5,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142552265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-24DOI: 10.1016/j.powtec.2024.120388
Binbin Huo , Yamei Zhang , Dongmin Wang
Ladle slag is a kind of metallurgical solid waste with great potential to be used to prepare alkali-activated ladle slag materials (ALS) and to capture CO2 due to its rich Ca and Si minerals. In this investigation, sodium dodecyl sulfate (SDS) was applied to optimize the microstructure of ALS, aiming to improve the CO2 capture property of ALS. The effect of SDS on CO2 capture property, compressive strength, pore structure and mineral evolution of ALS were comprehensively analyzed. The results show that adding SDS improves the CO2 capture property of ALS, and at 0.20 % SDS dosage, the CO2 capture capability of ALS reaches 6.17 %, a 48 % increase over the reference group. However, SDS incorporation decreases the compressive strength of ALS, but benefits for the carbon footprint owing to the improved CO2 capture amount. This study provides a novel direction for optimizing the CO2 capture properties and application of LS.
钢包渣是一种冶金固体废弃物，因其富含 Ca 和 Si 矿物质，在制备碱活性钢包渣材料（ALS）和捕集二氧化碳方面具有巨大潜力。本研究采用十二烷基硫酸钠（SDS）优化 ALS 的微观结构，旨在提高 ALS 的二氧化碳捕集性能。研究全面分析了 SDS 对 ALS 的二氧化碳捕集性能、抗压强度、孔隙结构和矿物演化的影响。结果表明，添加 SDS 可改善 ALS 的二氧化碳捕集性能，当 SDS 用量为 0.20 % 时，ALS 的二氧化碳捕集能力达到 6.17 %，比参照组提高了 48 %。然而，加入 SDS 会降低 ALS 的抗压强度，但由于提高了二氧化碳捕获量，对碳足迹也有好处。这项研究为优化二氧化碳捕集性能和 LS 的应用提供了一个新的方向。
{"title":"Optimizing CO2 capture property of alkali-activated ladle slag materials with sodium dodecyl sulfate","authors":"Binbin Huo , Yamei Zhang , Dongmin Wang","doi":"10.1016/j.powtec.2024.120388","DOIUrl":"10.1016/j.powtec.2024.120388","url":null,"abstract":"<div><div>Ladle slag is a kind of metallurgical solid waste with great potential to be used to prepare alkali-activated ladle slag materials (ALS) and to capture CO<sub>2</sub> due to its rich Ca and Si minerals. In this investigation, sodium dodecyl sulfate (SDS) was applied to optimize the microstructure of ALS, aiming to improve the CO<sub>2</sub> capture property of ALS. The effect of SDS on CO<sub>2</sub> capture property, compressive strength, pore structure and mineral evolution of ALS were comprehensively analyzed. The results show that adding SDS improves the CO<sub>2</sub> capture property of ALS, and at 0.20 % SDS dosage, the CO<sub>2</sub> capture capability of ALS reaches 6.17 %, a 48 % increase over the reference group. However, SDS incorporation decreases the compressive strength of ALS, but benefits for the carbon footprint owing to the improved CO<sub>2</sub> capture amount. This study provides a novel direction for optimizing the CO<sub>2</sub> capture properties and application of LS.</div></div>","PeriodicalId":407,"journal":{"name":"Powder Technology","volume":"449 ","pages":"Article 120388"},"PeriodicalIF":4.5,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142552798","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-24DOI: 10.1016/j.powtec.2024.120397
Yi Liu, Yunyan Guo, Jiafei Li, Kai Han, Chongwei An, Zhongliang Ma, Bidong Wu
Controlling the structure to meet the demand for high-energy, low-sensitivity energetic materials in modern military and civilian applications is an effective method. In this study, hexanitrostilbene (HNS) microspheres with a multi-cavity structure were prepared using nitrocellulose (NC) and fluororubber (F2604) as binders via microjet droplet technology. The effects of flow rate, receiving liquid temperature, and suspension concentration on the morphology, particle size, and cavity of the HNS microspheres were investigated. Furthermore, the impact of the multi-cavity structure on the microspheres' specific surface area, dispersibility, thermal properties, safety performance, and combustion performance was studied. Results showed that the multi-cavity HNS microspheres retained the raw materials' crystal structure while exhibiting improved dispersibility, higher activation energy, and shorter ignition delay. Moreover, the multi-cavity structure outperformed the solid structure in terms of specific surface area, safety performance, and combustion performance. This study opens up a new direction for the preparation of multi-structured energetic microspheres.
{"title":"Controllable preparation of hexanitrostilbene (HNS) microspheres with multi-cavity structure to enhance safety and combustion performance","authors":"Yi Liu, Yunyan Guo, Jiafei Li, Kai Han, Chongwei An, Zhongliang Ma, Bidong Wu","doi":"10.1016/j.powtec.2024.120397","DOIUrl":"10.1016/j.powtec.2024.120397","url":null,"abstract":"<div><div>Controlling the structure to meet the demand for high-energy, low-sensitivity energetic materials in modern military and civilian applications is an effective method. In this study, hexanitrostilbene (HNS) microspheres with a multi-cavity structure were prepared using nitrocellulose (NC) and fluororubber (F<sub>2604</sub>) as binders via microjet droplet technology. The effects of flow rate, receiving liquid temperature, and suspension concentration on the morphology, particle size, and cavity of the HNS microspheres were investigated. Furthermore, the impact of the multi-cavity structure on the microspheres' specific surface area, dispersibility, thermal properties, safety performance, and combustion performance was studied. Results showed that the multi-cavity HNS microspheres retained the raw materials' crystal structure while exhibiting improved dispersibility, higher activation energy, and shorter ignition delay. Moreover, the multi-cavity structure outperformed the solid structure in terms of specific surface area, safety performance, and combustion performance. This study opens up a new direction for the preparation of multi-structured energetic microspheres.</div></div>","PeriodicalId":407,"journal":{"name":"Powder Technology","volume":"449 ","pages":"Article 120397"},"PeriodicalIF":4.5,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142552803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-23DOI: 10.1016/j.powtec.2024.120390
Hong Zhong , Liu Yang , Jianzhong Song , Xiaoke Li , Xiaohu Wu
Hybrid nanofluids have garnered significant attention due to excellent heat transfer performance and potential applications. Conducting comprehensive research on hybrid nanofluids holds paramount importance. This study investigates the effects of surfactants, particle concentrations, mixing ratio and storage time of TiN/MWCNT-OH hybrid nanofluids on stability, thermal conductivity, and viscosity. It proposes a Grey Wolf Optimizer-Backpropagation neural network model for predicting thermal properties. The results indicate that the inclusion of PVP-K30 surfactant leads to remarkable stability of hybrid nanofluids at a concentration of 50 ppm over a period of two weeks. An increase in the proportion of MWCNT-OH results in a slight increase in thermal conductivity, which exhibits a maximum increase of 46 % with elevated temperature and particle concentrations. The viscosity of hybrid nanofluids gradually decreases as temperature rises, although demonstrates a non-linear correlation with concentrations. The neural network model exhibits a high predictive accuracy of 99.3507 % for thermal conductivity and 98.8924 % for viscosity.
{"title":"Investigation of thermal properties of TiN/MWCNT-OH hybrid nanofluids and GWO-BP neural network model","authors":"Hong Zhong , Liu Yang , Jianzhong Song , Xiaoke Li , Xiaohu Wu","doi":"10.1016/j.powtec.2024.120390","DOIUrl":"10.1016/j.powtec.2024.120390","url":null,"abstract":"<div><div>Hybrid nanofluids have garnered significant attention due to excellent heat transfer performance and potential applications. Conducting comprehensive research on hybrid nanofluids holds paramount importance. This study investigates the effects of surfactants, particle concentrations, mixing ratio and storage time of TiN/MWCNT-OH hybrid nanofluids on stability, thermal conductivity, and viscosity. It proposes a Grey Wolf Optimizer-Backpropagation neural network model for predicting thermal properties. The results indicate that the inclusion of PVP-K30 surfactant leads to remarkable stability of hybrid nanofluids at a concentration of 50 ppm over a period of two weeks. An increase in the proportion of MWCNT-OH results in a slight increase in thermal conductivity, which exhibits a maximum increase of 46 % with elevated temperature and particle concentrations. The viscosity of hybrid nanofluids gradually decreases as temperature rises, although demonstrates a non-linear correlation with concentrations. The neural network model exhibits a high predictive accuracy of 99.3507 % for thermal conductivity and 98.8924 % for viscosity.</div></div>","PeriodicalId":407,"journal":{"name":"Powder Technology","volume":"449 ","pages":"Article 120390"},"PeriodicalIF":4.5,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142552804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-23DOI: 10.1016/j.powtec.2024.120374
T. Plath, S. Luding, T. Weinhart
Population balance methods utilised in multiphase flow simulations mark a significant advancement in computational fluid dynamics. However, existing approaches exhibit shortcomings, such as being prone to inaccuracies or being computationally prohibitive. Addressing these challenges, a recent innovation in closure for the method of moments is the introduction of quadrature based moments methods (QBMM). Discretising a distribution by a number of discrete elements, QBMM facilitate efficient and accurate tracking of density distributions, particularly for particle size distributions (PSD). However, obtaining the full particle size distribution information using these methods requires reconstructing the distribution from a finite set of moments, which is not a trivial step.
This study introduces a novel combination of the maximum entropy reconstruction (MER) and QBMM, establishing a robust and rapid framework for the time evolution and reconstruction of PSDs. As proof of concept for this framework, we focus on the direct quadrature method of moments (DQMOM) with spatially homogeneous and monovariate distributions. We show that coupling of MER with DQMOM has numerous advantages. To verify the framework, special cases of constant growth, aggregation, and breakage are considered for which analytical solutions can be found. Furthermore, we show the advantage of using DQMOM with volume-based over length-based distributions, and address numerical as well as theoretical issues.
Application of the framework is successfully conducted on the evolution of the PSD from a twin-screw wet granulation dataset, considering all active primary physical mechanisms in a wet granulation process, namely growth, aggregation, and breakage. This showcases the consistency of the proposed framework and underscores its applicability to real-world scenarios.
{"title":"Population balance modelling and reconstruction by quadrature method of moments for wet granulation","authors":"T. Plath, S. Luding, T. Weinhart","doi":"10.1016/j.powtec.2024.120374","DOIUrl":"10.1016/j.powtec.2024.120374","url":null,"abstract":"<div><div>Population balance methods utilised in multiphase flow simulations mark a significant advancement in computational fluid dynamics. However, existing approaches exhibit shortcomings, such as being prone to inaccuracies or being computationally prohibitive. Addressing these challenges, a recent innovation in closure for the method of moments is the introduction of quadrature based moments methods (QBMM). Discretising a distribution by a number of discrete elements, QBMM facilitate efficient and accurate tracking of density distributions, particularly for particle size distributions (PSD). However, obtaining the full particle size distribution information using these methods requires reconstructing the distribution from a finite set of moments, which is not a trivial step.</div><div>This study introduces a novel combination of the maximum entropy reconstruction (MER) and QBMM, establishing a robust and rapid framework for the time evolution and reconstruction of PSDs. As proof of concept for this framework, we focus on the direct quadrature method of moments (DQMOM) with spatially homogeneous and monovariate distributions. We show that coupling of MER with DQMOM has numerous advantages. To verify the framework, special cases of constant growth, aggregation, and breakage are considered for which analytical solutions can be found. Furthermore, we show the advantage of using DQMOM with volume-based over length-based distributions, and address numerical as well as theoretical issues.</div><div>Application of the framework is successfully conducted on the evolution of the PSD from a twin-screw wet granulation dataset, considering all active primary physical mechanisms in a wet granulation process, namely growth, aggregation, and breakage. This showcases the consistency of the proposed framework and underscores its applicability to real-world scenarios.</div></div>","PeriodicalId":407,"journal":{"name":"Powder Technology","volume":"449 ","pages":"Article 120374"},"PeriodicalIF":4.5,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142552800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-22DOI: 10.1016/j.powtec.2024.120392
J. Krzywanski , W. Nowak , D. Skrobek , A. Zylka , Waqar Muhammad Ashraf , K. Grabowska , M. Sosnowski , A. Kulakowska , T. Czakiert , Y. Gao
Adsorption cooling and desalination methods with adsorption chillers (AC) are promising in energy technologies. However, the low-performance coefficient and bulkiness of traditional packed-bed ACs, primarily due to the high voidage of the sorbent beds leading to low heat transfer coefficients, pose significant challenges. Despite numerous attempts, a practical solution to this problem is yet to be found.
In response to this challenge, we propose a novel approach: a fluidized adsorbent bed instead of the traditional packed bed. We also introduce gene expression programming (GEP) as an innovative artificial intelligence (AI) method for modeling the bed-to-wall heat transfer coefficient in the adsorption bed. Our study includes calculations and model validation for a heat transfer adsorption bed reactor designed for low-pressure adsorption processes. The fluidizing agent of the adsorbent bed was water vapor generated in the evaporator. Silica gel was used as the parent adsorption material in our tests. The heat transfer coefficient was successfully validated and determined through experiments and estimated using the formulated (b-t-wHTc) meta-model. The data evaluated by the model aligns well with the experimental results. Our calculations demonstrate that the GEP-based model accurately predicts the heat transfer coefficient and is suitable for analyzing the fluidized adsorption bed reactor.
The outlined studies serve as a benchmark for subsequent simulations of the intensified heat transfer adsorption bed reactor, as they are integral to project No. 2018/29/B/ST8/00442, titled “Research on sorption process intensification methods in modified construction of adsorbent beds,” supported by the National Science Center in Poland.
{"title":"Modeling of bed-to-wall heat transfer coefficient in fluidized adsorption bed by gene expression programming approach","authors":"J. Krzywanski , W. Nowak , D. Skrobek , A. Zylka , Waqar Muhammad Ashraf , K. Grabowska , M. Sosnowski , A. Kulakowska , T. Czakiert , Y. Gao","doi":"10.1016/j.powtec.2024.120392","DOIUrl":"10.1016/j.powtec.2024.120392","url":null,"abstract":"<div><div>Adsorption cooling and desalination methods with adsorption chillers (AC) are promising in energy technologies. However, the low-performance coefficient and bulkiness of traditional packed-bed ACs, primarily due to the high voidage of the sorbent beds leading to low heat transfer coefficients, pose significant challenges. Despite numerous attempts, a practical solution to this problem is yet to be found.</div><div>In response to this challenge, we propose a novel approach: a fluidized adsorbent bed instead of the traditional packed bed. We also introduce gene expression programming (GEP) as an innovative artificial intelligence (AI) method for modeling the bed-to-wall heat transfer coefficient in the adsorption bed. Our study includes calculations and model validation for a heat transfer adsorption bed reactor designed for low-pressure adsorption processes. The fluidizing agent of the adsorbent bed was water vapor generated in the evaporator. Silica gel was used as the parent adsorption material in our tests. The heat transfer coefficient was successfully validated and determined through experiments and estimated using the formulated (b-t-wHTc) meta-model. The data evaluated by the model aligns well with the experimental results. Our calculations demonstrate that the GEP-based model accurately predicts the heat transfer coefficient and is suitable for analyzing the fluidized adsorption bed reactor.</div><div>The outlined studies serve as a benchmark for subsequent simulations of the intensified heat transfer adsorption bed reactor, as they are integral to project No. 2018/29/B/ST8/00442, titled “Research on sorption process intensification methods in modified construction of adsorbent beds,” supported by the National Science Center in Poland.</div></div>","PeriodicalId":407,"journal":{"name":"Powder Technology","volume":"449 ","pages":"Article 120392"},"PeriodicalIF":4.5,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142526468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-22DOI: 10.1016/j.powtec.2024.120394
Keying Ma , Yuanyuan Shao , Mingyan Liu , Jesse Zhu
A pilot-scale liquid-solid inverse fluidized bed (LSIFB) with 0.33 m in inner diameter and 3.0 m in height was designed and installed. Basic hydrodynamics were investigated experimentally using particles with different diameters and densities. The minimum fluidization velocity increases with the increase of particle diameter and the decrease of particle density and is independent of particle loading. Forty eight sets of data on minimum fluidization velocities from the investigation combined with the literature were collected and summarized to establish an empirical equation by modifying the Wen and Yu equation. The modified equation can predict effectively the minimum fluidization velocity across a wide range of Archimedes number. The bed expansion ratio increases with liquid velocity and particle density but decreases with the increase of particle diameter. Based on the bed expansion characteristics, an empirical equation was proposed by correlating Archimedes number and Reynolds number to predict successfully the bed expansion.
{"title":"Basic hydrodynamics of a pilot-scale liquid-solid inverse fluidized bed","authors":"Keying Ma , Yuanyuan Shao , Mingyan Liu , Jesse Zhu","doi":"10.1016/j.powtec.2024.120394","DOIUrl":"10.1016/j.powtec.2024.120394","url":null,"abstract":"<div><div>A pilot-scale liquid-solid inverse fluidized bed (LSIFB) with 0.33 m in inner diameter and 3.0 m in height was designed and installed. Basic hydrodynamics were investigated experimentally using particles with different diameters and densities. The minimum fluidization velocity increases with the increase of particle diameter and the decrease of particle density and is independent of particle loading. Forty eight sets of data on minimum fluidization velocities from the investigation combined with the literature were collected and summarized to establish an empirical equation by modifying the Wen and Yu equation. The modified equation can predict effectively the minimum fluidization velocity across a wide range of Archimedes number. The bed expansion ratio increases with liquid velocity and particle density but decreases with the increase of particle diameter. Based on the bed expansion characteristics, an empirical equation was proposed by correlating Archimedes number and Reynolds number to predict successfully the bed expansion.</div></div>","PeriodicalId":407,"journal":{"name":"Powder Technology","volume":"449 ","pages":"Article 120394"},"PeriodicalIF":4.5,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142552799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-21DOI: 10.1016/j.powtec.2024.120387
Feng Liu , Hongxiang Tang , Mohamed A. Shahin , Honghua Zhao , Ali Karrech , Feng Zhu , He Zhou
This paper investigates the mechanical response of coral sand under particle breakage using a hierarchical multiscale model combining the discrete element method (DEM) and the finite element method (FEM). This DEM-FEM model links the microscopic interaction mechanisms to macroscopic phenomena such as strain localization and failure. A cohesive contact model was first utilized to simulate compaction bands in the DEM and construct a cohesive assembly with smaller particles distributed around a larger particle to better simulate the grinding and angular breakage of coral sand. A representative volume element (RVE) that includes particle breakage was then constructed and analyzed under periodic boundary conditions. DEM analysis was performed, and the results were compared with triaxial compression test data obtained from the literature, demonstrating that the constructed RVE effectively represents the mechanical properties of coral sand. The constructed RVE was used for hierarchical multiscale simulations, which showed good agreement with existing triaxial testing of coral sand. Finally, by setting a larger cohesive force, the constructed coral sand particles were prevented from breakage, and comparative analysis revealed that particle breakage weakens the mechanical properties of coral sand. Furthermore, different shapes of coral sand particles were constructed, and RVE and hierarchical multiscale simulations of triaxial tests were performed. The results indicated that the triaxial tests of long strip-shaped coral sand particles exhibit higher peak values compared to spherical coral sand particles. Additionally, a double porosity model of coral sand was constructed to analyze the impact of internal porosity on soil mechanical properties. The results showed that the presence of internal porosity significantly weakened the mechanical properties of coral sand. These findings highlight the significant impact of particle breakage and shape on the mechanical behavior of coral sand, offering important insights for engineering applications.
本文采用离散元素法（DEM）和有限元法（FEM）相结合的分层多尺度模型，研究了珊瑚砂在颗粒破碎情况下的机械响应。该 DEM-FEM 模型将微观相互作用机制与应变局部化和破坏等宏观现象联系起来。首先利用内聚接触模型模拟 DEM 中的压实带，并构建一个由分布在较大颗粒周围的较小颗粒组成的内聚组件，以更好地模拟珊瑚砂的研磨和角断裂。然后，在周期性边界条件下，构建并分析了包含颗粒破碎的代表性体积元素（RVE）。进行了 DEM 分析，并将分析结果与从文献中获得的三轴压缩试验数据进行了比较，结果表明构建的 RVE 有效地代表了珊瑚砂的力学特性。构建的 RVE 被用于分层多尺度模拟，与现有的珊瑚砂三轴测试结果显示出良好的一致性。最后，通过设置较大的内聚力，防止所构建的珊瑚砂颗粒破裂，对比分析表明，颗粒破裂会削弱珊瑚砂的力学性能。此外，还构建了不同形状的珊瑚砂颗粒，并对三轴试验进行了 RVE 和分层多尺度模拟。结果表明，与球形珊瑚砂颗粒相比，长条形珊瑚砂颗粒的三轴试验表现出更高的峰值。此外，还构建了珊瑚砂的双孔隙度模型，以分析内部孔隙度对土壤力学性能的影响。结果表明，内部孔隙率的存在大大削弱了珊瑚砂的力学性能。这些发现凸显了颗粒破碎和形状对珊瑚砂机械行为的重要影响，为工程应用提供了重要启示。
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We aimed to investigate the impact of surface roughness on liquid bridges between spherical particles. Sandblasting was used to control the particle size and produce glass beads and plates with different surface roughness. First, by measuring the advancing and receding contact angles of droplets on different rough surfaces, we analyzed the effects of surface roughness on wettability and hysteresis. Next, we used a custom-made liquid-bridge stretching device to measure the capillary forces of the liquid bridges between spherical particles with different surface roughness values. A charge-coupled device camera acquisition system was set up to capture the morphological changes of the liquid bridge during stretching, and Image View software was used to extract the morphological parameters of the liquid bridge. Theoretically, we reasonably simplified and solved the differential equations for the liquid bridge morphology and used the Young–Laplace equation to calculate the theoretical capillary force of the liquid bridge, providing an in-depth analysis of the influence of surface roughness on the capillary force. Finally, we studied the impact of surface roughness on the volume ratio of the liquid bridge during static stretching and the residual liquid remaining after the liquid bridge breaks. Experimental results indicated that, as the surface roughness increased, the hydrophobicity and wettability hysteresis of the solid surface also increased. The increased hydrophobicity of the surface reduces the solid-liquid contact area of the liquid bridges between the particles, making it easier to form “columnar” or “convex” liquid bridges. Additionally, the enhanced wettability hysteresis causes the solid-liquid contact boundary to lag during the stretching of the liquid bridge, resulting in a decrease in the solid-liquid contact angle. These factors directly alter the geometric shape of liquid bridges during static stretching, thereby affecting capillary forces. Meanwhile, the increase in surface roughness weakens the effect of gravity on the morphology of the liquid bridge, resulting in less liquid mass remaining on the lower sphere after the liquid bridge breaks as the surface becomes rougher.
{"title":"Effect of surface roughness on the liquid bridge between two rigid spheres","authors":"Yu Yin, Fengyin Liu, Meng Miao, Zhiheng Yuan, Yuqing Tang","doi":"10.1016/j.powtec.2024.120377","DOIUrl":"10.1016/j.powtec.2024.120377","url":null,"abstract":"<div><div>We aimed to investigate the impact of surface roughness on liquid bridges between spherical particles. Sandblasting was used to control the particle size and produce glass beads and plates with different surface roughness. First, by measuring the advancing and receding contact angles of droplets on different rough surfaces, we analyzed the effects of surface roughness on wettability and hysteresis. Next, we used a custom-made liquid-bridge stretching device to measure the capillary forces of the liquid bridges between spherical particles with different surface roughness values. A charge-coupled device camera acquisition system was set up to capture the morphological changes of the liquid bridge during stretching, and Image View software was used to extract the morphological parameters of the liquid bridge. Theoretically, we reasonably simplified and solved the differential equations for the liquid bridge morphology and used the Young–Laplace equation to calculate the theoretical capillary force of the liquid bridge, providing an in-depth analysis of the influence of surface roughness on the capillary force. Finally, we studied the impact of surface roughness on the volume ratio of the liquid bridge during static stretching and the residual liquid remaining after the liquid bridge breaks. Experimental results indicated that, as the surface roughness increased, the hydrophobicity and wettability hysteresis of the solid surface also increased. The increased hydrophobicity of the surface reduces the solid-liquid contact area of the liquid bridges between the particles, making it easier to form “columnar” or “convex” liquid bridges. Additionally, the enhanced wettability hysteresis causes the solid-liquid contact boundary to lag during the stretching of the liquid bridge, resulting in a decrease in the solid-liquid contact angle. These factors directly alter the geometric shape of liquid bridges during static stretching, thereby affecting capillary forces. Meanwhile, the increase in surface roughness weakens the effect of gravity on the morphology of the liquid bridge, resulting in less liquid mass remaining on the lower sphere after the liquid bridge breaks as the surface becomes rougher.</div></div>","PeriodicalId":407,"journal":{"name":"Powder Technology","volume":"449 ","pages":"Article 120377"},"PeriodicalIF":4.5,"publicationDate":"2024-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142526257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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