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颗粒学报（英文版）
颗粒学报（英文版）

郭慕孙

双月刊

1674-2001

jcsp@home.ipe.ac.cn

010-82629146

100080

北京中关村北二条1号中科院过程所内

颗粒学报（英文版）/Journal China ParticuologyCSCDCSTPCD北大核心EISCI
查看更多>>本刊以创精品与国际化为办刊方针，旨在反映中国颗粒学研究的最新成果、及时追踪国际颗粒学领域的最新动态。学报主要刊登国内外颗粒学领域中的研究、工程和应用方面的优秀原始论文，包括颗粒测试与表征、颗粒制备与处理、流态化、气溶胶和超微颗粒等。本刊不仅设有论坛、研究论文、研究简报等内容，还有书评、会议信息与报道、测试仪器进展等栏目，便于相关人士进行学术交流，并为科技成果的展示提供平台，信息十分丰富。本刊已陆续被美国化学文摘（CA），俄罗斯文摘杂志（AJ），剑桥科学文摘（CSA）以及中国科技论文与引文数据库(CSTPCD)收录。China PARTICUOLOGY, a bimonthly interdisciplinary journal in English, purports to present the best papers in research, engineering and application in the overall field of PARTICUOLOGY, including particle characterization, particle preparation, aerosol, fluidization and ultra-fine particles. The word PARTICUOLOGY was coined to correspond to its Chinese terminology, which denotes both the science and technology of particles. Although the journal is China-based, it serves as a medium for all accepted papers of international origin, especially the best papers representing current advances in the world. Besides scientific and engineering papers, the journal includes the following sections: R & D notes, Current events, Editorials reviews, Forum for comments, opinions and qualified speculations, News on books, instruments and meetings.Now， China Particuology has been indexed by CA, AJ , CSA and CSTPCD.??读者对象（Audiences）： 中国颗粒学会会员、国内外从事颗粒学和颗粒技术研究和生产的大专院校师生、科研院所及企业的研究人员和技术人员。 Member of Chinese Society of Particuology, and researchers or experts who are engaged in the study of particle sciences and technology coming from colleges, institutes and corporations all over the world.
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    Numerical insight into heat transfer enhancement by granules inner-migration in a moving bed:A performance comparison between slanted-stick and plow-shaped agitator

    Binfan JiangHao PeiDehong XiaHaiyang Wang...
    109-116页
    查看更多>>摘要：Waste heat recovery of high-temperature granules is one of the most promising sustainable energy supply and carbon reduction ways for industry.A moving bed indirect heat exchanger(MBIHE)with inner-migration was proposed for granular heat recovery.Granule migration and the enhanced heat transfer induced by two types of agitators(i.e.,agitator with slanted stick As and with plow-shaped surface Ap)in the MBIHE are analyzed based on DEM coupled with CFD.Owing to the effective agita-tion,the average heat transfer coefficient in the granule side is enhanced to～3 times compared to that without agitation.The heat recovery efficiency in the moving bed reached more than 70％with the agitations of either As or Ap.The heat efficiency of As is～7％higher than that of Ap,but with at least 60％greater rotational torque.To ensure reliable agitation,the Ap is suggested to be adopted in the MBIHE to induce granule migration.
      原文链接:
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    Micro-flow structure at regime transition from bubbling to turbulent fluidization in a fluidized bed

    Chaoyu YanYue YuanXiaoyang WeiJesse Zhu...
    117-130页
    查看更多>>摘要：Gas-solid fluidized beds have found extensive utilization in frontline manufacturing,in particular as low-velocity beds.The fluidization status,the bubbling or turbulent flow regime and the transition in between,determine the system performance in practical applications.Though the convoluted hydrodynamics are quantitively evaluated through numerous data-processing methodologies,none of them alone can reflect all the critical information to identify the transition from the bubbling to the turbulent regime.Accord-ingly,this study was to exploit a coupling data processing methodology,in the combination of standard deviation,power spectrum density,probability density function,wavelet transform,and wavelet multi-resolution method,to jointly explain the micro-flow structure at the regime transition from bubbling to turbulent fluidization.The transient differential pressure fluctuation was measured for the evaluation in a fluidized bed(0.267 m i.d.× 2.5 m height)with FCC catalysts(dp=65 μm,ρp=1780 kg/m3)at different superficial gas velocities(0.02-1.4 m/s).The results show that the onset of turbulent fluidization starts earlier in the top section of the bed than in the bottom section.The wavelet decomposition displays that the fluctuation of differential pressure mainly concentrates on the sub-signals with an intermediate frequency band.These sub-signals could be synthesized into three types of scales(micro-scale,meso-scale,and macro-scale),representing the multi-scale hydrodynamics in the fluidized bed.The micro-scale signal has the characteristic information of bubbling fluidization,and the characteristic informa-tion of turbulent fluidization is mainly represented by the meso-scale signal.This work provides a sys-tematic comprehension of fluidization status assessment and serves as an impetus for more coupling analysis in this sector.
      原文链接:
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    Gas-solid reactor optimization based on EMMS-DPM simulation and machine learning

    Haolei ZhangAiqi ZhuJi XuWei Ge...
    131-143页
    查看更多>>摘要：Design,scaling-up,and optimization of industrial reactors mainly depend on step-by-step experiments and engineering experience,which is usually time-consuming,high cost,and high risk.Although nu-merical simulation can reproduce high resolution details of hydrodynamics,thermal transfer,and re-action process in reactors,it is still challenging for industrial reactors due to huge computational cost.In this study,by combining the numerical simulation and artificial intelligence(AI)technology of machine learning(ML),a method is proposed to efficiently predict and optimize the performance of industrial reactors.A gas-solid fluidization reactor for the methanol to olefins process is taken as an example.1500 cases under different conditions are simulated by the coarse-grain discrete particle method based on the Energy-Minimization Multi-Scale model,and thus,the reactor performance data set is constructed.To develop an efficient reactor performance prediction model influenced by multiple factors,the ML method is established including the ensemble learning strategy and automatic hyperparameter opti-mization technique,which has better performance than the methods based on the artificial neural network.Furthermore,the operating conditions for highest yield of ethylene and propylene or lowest pressure drop are searched with the particle swarm optimization algorithm due to its strength to solve non-linear optimization problems.Results show that decreasing the methanol inflow rate and increasing the catalyst inventory can maximize the yield,while decreasing methanol the inflow rate and reducing the catalyst inventory can minimize the pressure drop.The two objectives are thus conflicting,and the practical operations need to be compromised under different circumstance.
      原文链接:
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    Rheological and stability analysis of cement pastes incorporating silica-based wastes

    Julia da Rosa MartinsJanaíde Cavalcante RochaDachamir HotzaLuciano Senff...
    144-152页
    查看更多>>摘要：This study investigates the influence of waste characteristics,especially zeta potential,on the properties of cement pastes and solutions.The focus is to evaluate the impact of the zeta potential of cement particles and waste materials on the sedimentation speed,rheology,and hardening time of stabilized cement pastes.Portland Cement Ⅱ F 40,retarder additive,silica,and fly ash were used in the research.The pastes were prepared,and during the stabilization period,their rheological properties and pH were evaluated.The zeta potential and sedimentation speed of the cement and waste particles were measured at the pH that the pastes presented during the entire stabilization period.After the stabilization period,the pastes were subjected to the hardening time test.The zeta potential analyses revealed diverse values for the different powder types,with the cement particles exhibiting a zeta potential of-3.0 mV,the silica particles exhibiting-10.5 mV,and the fly ash particles exhibiting-20.3 mV.The influence of the high zeta potential modulus was observed on the sedimentation speed,with the solution containing fly ash exhibiting a speed of 40.01 μm/s,whereas the solution containing only cement exhibited a speed of 99.38 μm/s.In the pastes,the results indicate that the presence of fly ash particles with a significantly negative zeta potential led to a 16％reduction in hardening time compared to particles with a lower modulus of zeta potential.Rheometry tests showed that the inclusion of fly ash particles prevented the formation of agglomerates.Although the zeta potential influenced agglomerate formation and hardening time,it was found to have no effect on yield stress or viscosity.
      原文链接:
    • NETL
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    Energy budget of cold and hot gas-solid fluidized beds through CFD-DEM simulations

    Lei BiYunpeng JiaoChunjiang LiuJianhua Chen...
    153-171页
    查看更多>>摘要：Direct energy budget is carried out for both cold and hot flow in gas-solid fluidization systems.First,the energy paths are proposed from thermodynamic viewpoints.Energy consumption means total power input to the specific system,and it can be decomposed into energy retention and energy dissipation.Energy retention is the variation of accumulated mechanical energy in the system,and energy dissi-pation is the energy converted to heat by irreversible processes.Then based on the Computational Fluid Dynamics-Discrete Element Method(CFD-DEM)framework,different energy terms are quantified from the specific flow elements of fluid cells and particles as well as their interactions with the wall.In order to clarify the energy budget,it is important to identify which system is studied:the particle-fluid system or the particle sub-system.For the cold flow,the total energy consumption of the particle sub-system can well indicate the onset of bubbling and turbulent,while the variation of local energy consumption terms can reflect the evolution of heterogeneous structures.For the hot flow,different heat transfer mecha-nisms are analyzed and the solver is modified to reproduce the experimental results.The impact of the heat transfer mechanisms and heat production on energy consumption is also investigated.The pro-posed budget method has proven to be energy-conservative and easy to conduct,and it is hopeful to be applied to other multiphase flow systems.
      原文链接:
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    CFD simulation and optimization of an industrial cement gas-solid air classifier

    Mohamadreza EsmaeilpourAli MohebbiVahab Ghalandari
    172-184页
    查看更多>>摘要：An air classifier is one of the main and effective devices in cement industry.In this study,a three-dimensional,steady and two-phase(solid-gas)computational fluid dynamics(CFD)simulation was performed to optimize the performance of this device in the Kerman Momtazan cement plant,Iran.After the validation of CFD results,the air flow field and air path lines between fixed blades were checked carefully and the non-uniformity in velocity distribution and the formation of vortex flows between the blades close to particle inlets were observed.The study tried to improve the device efficiency by changing the method of entering particles into the device,resulting in a reduction in air classifier electrical energy consumption(from 41 to 35(kW h)/t)and an increase in production rate(from 203 to 214 t/h).Additionally,the study investigated the effects of other modifiable operating conditions like rotary cage rotation speed,pressure difference,and inlet air temperature on the particle size distribution and classifier efficiency.The results showed that increasing the cage rotation speed decreased the product rate and the product particles mean diameter while increasing pressure difference or increasing temperature increased the product rate and the product particles mean diameter.It was concluded that these modifiable operating conditions can significantly affect the performance of the air classifier in the cement industry.
      原文链接:
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    Shape-changing particles for locally resolved particle geometry in DEM simulations

    Enric IllanaKlidi QytetiMaik ScharnowskiMaximilian Br?mmer...
    185-190页
    查看更多>>摘要：Taking into account the complex shape of particles in discrete element method(DEM)simulations of large-scale granular systems is computationally demanding due to the time-consuming contact detec-tion algorithms for polyhedral particles.In this short communication,a novel approach that locally re-solves the particle shapes where needed and uses a simplified representation elsewhere,to accelerate simulations without compromising accuracy,is presented.For this purpose,a method employing a smooth transition of the particle shape representation from analytical spheres to shape-resolving polyhedra is introduced in DEM.The feasibility and correct implementation of this approach are demonstrated through simulations of hopper discharge involving spherical and dodecahedral particles from a flat bottom silo or shaft kiln.The model capabilities,in terms of accuracy as well as reduction in computational effort,are quantified for a moving bed with continuous outflow.
      原文链接:
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    Efficient construction of calcium fluoride nanoaggregates for enhanced water vapor adsorption

    Dan-Lei YangJing CaoRong-Kun LiuJie-Xin Wang...
    191-197页
    查看更多>>摘要：Calcium fluoride(CaF2)is an ideal adsorbent for the dehydration of gaseous hydrogen fluoride(HF)containing water vapor.In this work,a novel CaF2 absorbent,spherical CaF2 nanoaggregates(NAs)with a closely packed structure,was proposed and efficiently fabricated by spray drying technology.As the building blocks of CaF2 NAs,the CaF2 nanoparticles(NPs)were prepared by the addition of excess cal-cium ions(Ca2+)or fluorine ions(F-)in the synthesis.The results indicated that the CaF2 NPs synthesized by excess Ca2+and the corresponding NAs exhibited much better water vapor adsorption properties than their counterparts by excess F-,owing to higher zeta potentials.More importantly,whether excess Ca2+or F-,CaF2 NAs had further enhanced water vapor adsorption capacity compared to primary CaF2 NPs,possibly owing to their unique nano-micro secondary structures and higher surface areas.This work has great potential in the development of high-performance absorbents for separating moisture from cor-rosive gas HF.
      原文链接:
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    Implementation and validation of a bonded particle model to predict rheological properties of viscoelastic materials

    Michael MascaraArno MayrhoferStefan RadlChristoph Kloss...
    198-210页
    查看更多>>摘要：This work focuses on implementing a particle-based method able to characterize viscoelastic materials whose rheological properties,such as storage modulus G'and loss modulus G",are known.It is based on the bonded particle model,with the elastic constitutive relation here substituted with a viscoelastic one to capture time-scale effects.The Burgers model,vastly used in literature to model viscoelastic systems,is discretized and implemented.The test case used for calibration comprises of a cubic lattice,sheared with a periodic motion,to mimic the effect of a shear rheometer.After appropriate filtering of the stress response,the rheological properties are obtained,highlighting the effect of the lattice geometry,as well as the particle size,on the accuracy of the model.Moreover,the Burgers parameters are calibrated by analytically fitting the experimental dataset,showing the limitation of the Burgers model.The micro-contact parameters are obtained from the macro parameters through appropriate scaling.After completing a frequency sweep,the simulated G'and G"show a relatively large error,around 25％for G'for example.For this reason,a more robust model,namely the generalized Maxwell model,has been implemented.The calibration procedure is performed in the same fashion as for the Burgers model.Moreover,the tangential micro-contact parameters are scaled w.r.t.the normal ones.This scaling parameter,called α,is calibrated by minimizing the root mean square error between simulation and experimental data,giving errors below 10％in both G'and G"for a large dataset.Additionally,a full ring plate-plate rheometer setup is simulated,and the simulation is compared with the given experimental dataset,again finding a good agreement.
      原文链接:
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    Enhancing flotation recovery of residual carbon from gasification waste by mixing hydrophobic powder with diesel as collector

    Rui HanNingning ZhangAnning ZhouZhen Li...
    211-217页
    查看更多>>摘要：Coal gasification fine slag(CGFS)is a solid waste containing residual carbon and ash generated during the coal gasification process,and the separation of the two components is the essential way to realize its environmental pollution reduction and resource value increase.Froth flotation is the preferred method for separating CGFS,but there is a barrier of low carbon recovery in this process due to the extensive adsorption of collector by the well-developed pores on residual carbon.In this study,a sufficiently simple yet innovative collector,a mixture of hydrophobic powder and diesel,was proposed in an attempt to break the bottleneck.Flotation experiments with common diesel and this novel collector were per-formed respectively,and FTIR,XPS,and SEM-EDX were employed to analyze the collector action mechanism.Flotation results revealed that the novel collector could significantly improve the residual carbon recovery;test results demonstrated that the novel collector could increase the hydrophobic functional group content on the fine slag surface,and the hydrophobic powders in this novel collector mainly appeared at the pore openings of the flotation concentrate.The essence of the mechanism is that the hydrophobic powders play a dual role of blocking pores and providing adsorption sites,thus facili-tating the spreading of diesel on the carbon surface and promoting its floatability.The study can provide creative ideas for the efficient disposal of coal gasification waste.
      原文链接:
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