Tannery wastewater is a challenging effluent due to its high concentrations of chromium,total sulfides,and recalcitrant organic compounds.This study presented a novel electrocoagulation(EC)process using a self-induced...Tannery wastewater is a challenging effluent due to its high concentrations of chromium,total sulfides,and recalcitrant organic compounds.This study presented a novel electrocoagulation(EC)process using a self-induced external-loop airlift reactor(ELAR),which operated without mechanical mixing and relied on hydrogen and oxygen microbubbles for internal circulation.Under optimal conditions(pH of 6,a current density of 50 mA/cm2,an electrolysis time of 20 min),the ELAR achieved high pollutant removal efficiencies(88%chemical oxygen demand(COD)removal and 92%Cr removal)with lower energy consumption(10.8 kW·h/m3)and reduced operational costs(1.83 USD per cubic meter)compared to a stirred tank reactor.Artificial neural network(ANN)modeling enabled data-driven optimization,further improving COD removal to 94%with reducing energy input.Kinetic and isotherm analyses confirmed chemisorption as the dominant mechanism.Life cycle assessment(LCA)and solar integration scenarios highlighted the environmental benefits of the ELAR system.Sludge characterization indicated potential for reuse as construction materials.This study uniquely introduced an ELAR system that operates without mechanical agitation,combined with ANN modeling and LCA,representing the first integrated approach for optimizing and assessing EC performance in tannery wastewater treatment.These findings demonstrate that the ELAR system offers a cost-effective and sustainable solution for industrial wastewater remediation.展开更多
Safety is of paramount importance in nuclear power plants.Accurate and reliable accident diagnosis is essential for ensuring operational safety in reactor systems.The convergence of Industry 4.0 technologies and deep ...Safety is of paramount importance in nuclear power plants.Accurate and reliable accident diagnosis is essential for ensuring operational safety in reactor systems.The convergence of Industry 4.0 technologies and deep learning methods has emerged as a promising approach for improving the operational safety of nuclear energy systems,particularly in fault detection and diagnosis(FDD)applications.This study proposes a novel adaptive accident diagnosis framework tailored for molten salt reactors(MSRs)based on an enhanced residual convolutional neural network(AM-RCNN).The AM-RCNN incorporates an anti-noise module implemented using the soft thresholding method,together with an attention mechanism,to improve robustness.Datasets representing eight distinct operational scenarios were generated using the RELAP5-TMSR simulation tool.An appropriate subset of input features for MSR accident diagnosis was selected using Pearson correlation analysis and random forest importance ranking.The models were subsequently trained,validated,optimized,and tested.Comparative analyses with conventional RCNN and CNN architectures demonstrate the diagnostic advantages of the proposed approach.In addition,the integration of Bayesian optimization further enhances the performance of the AM-RCNN.As a contribution to intelligent monitoring research for MSRs,the proposed method provides reliable decision support for nuclear system operation,particularly in autonomous scenarios.展开更多
Knowing the precise relationship between fuel loading and reactivity is essential for guiding reactor criticality extrapolation and online refueling in molten salt reactors(MSRs).This study aims to explore and explain...Knowing the precise relationship between fuel loading and reactivity is essential for guiding reactor criticality extrapolation and online refueling in molten salt reactors(MSRs).This study aims to explore and explain the linear relationship between reactivity and the reciprocal of uranium concentration in thermal-spectrum MSRs.By applying neutron balance theory,we analyzed the neutron absorption cross sections of various nuclides in single-lattice models with varying fuel concentrations.Our findings reveal a simple linear correlation between reactivity and the reciprocal of uranium concentration,which can be explained from the perspective of nuclear reaction cross sections that adhere to the 1/v law in the thermal neutron spectrum.Furthermore,we identified that the neutron absorption single-group cross sections of structural materials and carrier salts exhibit an approximately linear relationship with the fission single-group cross section of 235 U;similarly,the reciprocal of 235U’s fission cross section exhibits an approximately linear relationship with uranium concentration.This linear relationship deviates as the volume fraction of molten salt increases,due to a greater proportion of neutrons being captured in the resonance energy spectrum.However,it remains valid for molten salt volume fractions up to 25%and demonstrates broad applicability in the physical design and operation of thermal molten salt reactors.展开更多
Liquid-containing structures,including steam generators,water-cooling systems,in-containment refueling water storage tanks,suppression tanks,and tritiated water storage facilities,are integral components of nuclear re...Liquid-containing structures,including steam generators,water-cooling systems,in-containment refueling water storage tanks,suppression tanks,and tritiated water storage facilities,are integral components of nuclear reactor systems and are crucial for ensuring operational safety and stability.Traditional seismic analysis methods often struggle to accurately predict the dynamic behavior of such structures,particularly under transient events such as earthquakes.This paper presents a comprehensive study that applies the hybrid Eulerian-Lagrangian method to analyze fluid-structure interactions within these structures.The efficacy of this method for capturing the complex dynamics induced by liquid movement is demonstrated through simulations conducted primarily in a vertical storage tank.A comparative analysis with traditional response-spectrum analysis methods underscores the limitations of conventional approaches,particularly in terms of accounting for nonlinear free-surface motions and dynamic velocity distributions.The structural response of the tank containing liquid calculated using the hybrid Eulerian-Lagrangian method is approximately twice that calculated using the response-spectrum method,whereas in the case of a tank without liquid,the response is the same.Additionally,a high dynamic stress distribution exists near the liquid level of the structure.This study addresses the intricate interplay between structural components and fluid dynamics,thereby extrapolating insights from tanks to enhance safety protocols and design considerations for future nuclear devices.展开更多
Laser-induced aerosols,predominantly submicron in size,pose significant environmental and health risks during the decommissioning of nuclear reactors.This study experimentally investigated the removal of laser-generat...Laser-induced aerosols,predominantly submicron in size,pose significant environmental and health risks during the decommissioning of nuclear reactors.This study experimentally investigated the removal of laser-generated aerosol particles using a water spray system integrated with an innovative system for pre-injecting electrically charged mist in our facility.To simulate aerosol generation in reactor decommissioning,a high-power laser was used to irradiate various materials(including stainless steel,carbon steel,and concrete),generating aerosol particles that were agglomerated with injected water mist and subsequently scavenged by water spray.Experimental results demonstrate enhanced aerosol removal via aerosol-mist agglomeration,with charged mist significantly improving particle capture by increasing wettability and size.The average improvements for the stainless steel,carbon steel,and concrete were 40%,44%,and 21%,respectively.The results of experiments using charged mist with different polarities(both positive and negative)and different surface coatings reveal that the dominant polarity of aerosols varies with the irradiated materials,influenced by their crystal structure and electron emission properties.Notably,surface coatings such as ZrO2and CeO2were found to possibly alter aerosol charging characteristics,thereby affecting aerosol removal efficiency with charged mist configurations.The innovative aerosol-mist agglomeration approach shows promise in mitigating radiation exposure,ensuring environmental safety,and reducing contaminated water during reactor dismantling.This study contributes critical knowledge for the development of advanced aerosol management strategies for nuclear reactor decommissioning.The understanding obtained in this work is also expected to be useful for various environmental and chemical engineering applications such as gas decontamination,air purification,and pollution control.展开更多
The electrochemical oxidation of biomass-derived platform molecule 5-hydroxymethylfurfural(HMF)represents a crucial pathway for green transformation into high-value chemicals,yet its reaction pathway selectivity,effic...The electrochemical oxidation of biomass-derived platform molecule 5-hydroxymethylfurfural(HMF)represents a crucial pathway for green transformation into high-value chemicals,yet its reaction pathway selectivity,efficiency,and catalyst stability are strongly dependent on the electrolyte pH environment.Under alkaline conditions,high OH−concentration facilitates preferential aldehyde group oxidation and efficient deprotonation,enabling highly efficient synthesis of 2,5-furandicarboxylic acid,but simultaneously induces HMF self-degradation and complicates product separation.As pH decreases,the reaction mechanism shifts toward enhanced hydroxymethyl oxidation,leading to intermediate accumulation(such as 5-hydroxymethyl-2-furancarboxylic acid,2,5-diformylfuran,and 5-formyl-2-furancarboxylic acid)with challenging selectivity control and significantly slowed reaction kinetics.This review comprehensively examines the systematic differences in HMF oxidation pathways and surface catalytic mechanisms across the full pH range from alkaline to acidic conditions.Addressing the distinct reaction characteristics and core challenges in alkaline,near-neutral,and acidic media,we systematically evaluate design strategies for high-efficiency electrocatalysts and explore reactor design aspects.Future research should focus on process integration(with tailored reactor design)for energy consumption reduction in alkaline systems,targeted synthesis of diverse oxidation products in near-neutral systems,and innovative catalyst development for acidic systems,thereby advancing the efficiency,selectivity,and practical application of HMF electrooxidation technologies across the entire pH spectrum through synergistic optimization of catalyst,reactor,and process.展开更多
Electrocatalytic oxidation is a promising technology for wastewater treatment,but poor mass transfer and low current efficiency impaded its engineering applications.To address these issues,researchers have developed f...Electrocatalytic oxidation is a promising technology for wastewater treatment,but poor mass transfer and low current efficiency impaded its engineering applications.To address these issues,researchers have developed flow-through electrochemical reactors(FERs)primarily based on porous electrodes,where the pore structure significantly impacts the electrochemical reaction.Therefore,this study systematically investigated the impact of different pore sizes on the fluid dynamics,current potential distribution,mass transfer processes,and degradation performance of FERs.Computational Fluid Dynamics(CFD)results indicated that smaller pore sizes(10μm,30μm,and 60μm)significantly enhanced convective effects within the fluid,reduced short fluid paths and dead volume regions within the microchannels,and facilitated mass transfer processes.Additionally,smaller pore sizes were conducive to a uniform distribution of current density.Furthermore,Fe(CN)64−oxidation experiments revealed that the current density at a pore size of 160μm was notably lower than that at 10μm,indicating slower mass transfer of Fe(CN)64−within larger channels.Calculations based on experimental results demonstrated that the mass transfer rate at a pore size of 10μm was six times than that at 160μm,further confirming the enhancing effect of smaller pore sizes on the mass transfer process.Lastly,experiments on tetracycline degradation showed that at a residence time of 90 s,the removal efficiencies of tetracycline were 80%and 39.1%for porous electrodes with pore sizes of 10μm and 160μm,respectively,demonstrating the superior removal efficiency of smaller pore sizes for tetracycline degradation.展开更多
Correction to:Nuclear Science and Techniques(2025)36:111 http://gffzzd3cc09b8251d45dfs6ucbxw9wcfuf6bcw.ffgz.tsg.suse.edu.cn/10.1007/s41365-025-01681-9.In the sentence beginning‘The weights of the parameters used for the…’in this article,the text‘RCSs’should have ...Correction to:Nuclear Science and Techniques(2025)36:111 http://gffzzd3cc09b8251d45dfs6ucbxw9wcfuf6bcw.ffgz.tsg.suse.edu.cn/10.1007/s41365-025-01681-9.In the sentence beginning‘The weights of the parameters used for the…’in this article,the text‘RCSs’should have read‘SCRs’.In Table 7 of this article,the column header ρ_fuel was incorrect and should have read CPv_fuel.For completeness and transparency,the old incorrect version and the corrected version of Table 7 are displayed below.展开更多
A steady thermo-hydraulic model of the helical tube steam generator was first constructed to study the coupled heat transfer process between the primary and secondary sides based on a discrete modeling method,and obta...A steady thermo-hydraulic model of the helical tube steam generator was first constructed to study the coupled heat transfer process between the primary and secondary sides based on a discrete modeling method,and obtain the heat flux density distribution along the steam generator.Then,taking the obtained coupled heat flux density distribution as the thermal boundary condition input,considering the dynamic variation of physical properties on the secondary side,a dynamic model based on the time-domain method suitable for two-phase flow instability among parallel multiple channels of the steam generator was constructed.Finally,taking the lead-bismuth fast reactor as an example,flow instability of the steam generator was analyzed under an inlet lead-bismuth temperature of 320℃~480℃ and an inlet water temperature of 160℃~240℃.It was found that flow instability is less likely to occur under coupled heat conditions,compared with that under uniform or linear distribution.Flow excursion is prone to occur under low inlet temperature of the primary or secondary side.As the inlet lead bismuth temperature increases from 320℃ to 480℃,average heat flux significantly increases by 2.5 times,and the non-uniformity of heat flux distribution increases of 49%.Meanwhile,the density wave oscillation amplitude gradually increases,and system stability weakens.展开更多
Solar iron production from H2-based direct reduction of iron ore was investigated in a continuously particle-fed reactor for performance analysis.Concentrated solar energy was used as the external source of high-te...Solar iron production from H2-based direct reduction of iron ore was investigated in a continuously particle-fed reactor for performance analysis.Concentrated solar energy was used as the external source of high-temperature process heat and hydrogen was used as reductant,thereby enabling decarbonation of the iron-making process.The solar reactor featured a rotary kiln composed of a refractory conical cavity,in which the reacting particles were injected and extracted under a flow of H2reductant,subjected to real concentrated solar irradiation.The reactor was experimentally tested under both continuous and semi-continuous operation modes to determine and compare the key performance metrics.The on-sun experiments focused on unraveling the effect of the cavity material and operating mode on the process performance including H2consumption,particle conversion,and iron product purity.A cavity made of mullite appeared unfavorable for continuous particle flow due to agglomeration and adherence to the walls.Conversely,boron nitride promoted particle flowability while totally eliminating adhesion to the walls.In continuous mode,the conversion was kinetically limited due to a low particle residence time in the cavity.Semi-continuous operation was thus tested with cavity rotation turned off during injection and rotation turned on for particles extraction,which warranted a high-enough reaction duration with particle conversion approaching completion.Maximum conversion up to 99%was achieved with complete recovery yield of the converted product at the reactor outlet.Characterization of solid products(XRD,SEM/EDX)confirmed the successful production of pure sponge iron.Further scaling-up of the solar reactor concept with longer cavity length will enhance the particle residence time,thereby favoring their conversion in continuous mode.展开更多
Rotating packed beds(RPBs),as classic process intensification reactors,have been adopted for shipboard desulfurization to meet the stringent emission limits.However,conventional RPBs are unsuitable for open-loop seawa...Rotating packed beds(RPBs),as classic process intensification reactors,have been adopted for shipboard desulfurization to meet the stringent emission limits.However,conventional RPBs are unsuitable for open-loop seawater scrubbing because the required large liquid throughput necessitates an enlarged rotor diameter,leading to prohibitive power consumption and large footprint.To address this limitation,this work developed a high-gravity assisted atomization reactor(HAAR)with multi-phase intensification internals,in which a downsized rotor was used exclusively for liquid atomization while guide baffles and static wire meshes were integrated as internal structures to improve gas distribution and promote liquid secondary dispersion,respectively.The open-and closed-loop desulfurization performance and energy dissipation(ED)of HAAR were systematically evaluated,clarifying the effect of multiphase intensification internals.Experiments under open-loop seawater and closed-loop sodium sulfite systems achieved desulfurization efficiencies of 76.2%to 93.8%and 92.5%to 98.2%,respectively,which meet the emission limits.Internal installation caused marginal increases in ED,while significantly enhancing the desulfurization process.An artificial neural network(ANN)model was established to quantify parameter importance and evaluate operating strategies,forecasting within±10%deviation from the experimental data.Compared with conventional reactors,HAAR achieved about 1 order of magnitude higher the overall gas-phase volumetric mass-transfer coefficient(KGA)than spray towers with slightly enlarged ED and comparable values of KGA for conventional RPBs with 1—2 orders of magnitude lower ED,demonstrating the potential for desulfurization applications in marine engineering.This work stimulated advances in marine exhaust gas purification and provided valuable guidance for internal-structure design and data-driven ANN analysis aimed at optimized performance and intelligent operation.展开更多
The flow-through electrochemical reactor had attracted much attention in wastewater treatment because it can improve the mass transfer process of pollutants.However,its application was limited because the matched poro...The flow-through electrochemical reactor had attracted much attention in wastewater treatment because it can improve the mass transfer process of pollutants.However,its application was limited because the matched porous electrode was difficult to process,easy to be blocked and had insufficient treatment capacity.Therefore,a novel type of flow-through electrochemical reactor based on activated carbon particles was proposed in this study,which enhanced mass transfer and electrochemical process.The effects of process parameters such as voltage and particle dosage were also investigated.Compared with the traditional flow-through electrochemical reactor,the new electrochemical reactor with activated carbon particles layer improved the removal efficiency of RhB from 13.0%to 97.9%under the same operating conditions.A kinetic model based on the new reactor was established,which showed that the removal process of RhB conformed to the apparent first-order kinetic model.Meanwhile,the apparent first-order surface-induced adsorption reaction rate constant and electrochemical reaction rate constant were determined.In order to investigate the operation stability of the new reactor,six rounds of long-term experiments were carried out in this study.The results showed that the removal efficiency of RhB remained above 96.5%during each round of experiments without blockage occurring.In the treatment of actual printing and dyeing wastewater,the new reactor could achieve a COD removal rate of 78.6%after 8 reaction hours.Therefore,the flow-through electrochemical reactor combined with activated carbon particles layer had a good application prospect in the field of wastewater treatment.展开更多
Research on the solid-liquid mixing process and its enhancement mechanisms in multi-shaft stirred reactors still face challenges that limit its industrial applications.This work employs the RNG k-εmodel combined with...Research on the solid-liquid mixing process and its enhancement mechanisms in multi-shaft stirred reactors still face challenges that limit its industrial applications.This work employs the RNG k-εmodel combined with the EE-KTGF model to numerically simulate the solid-liquid mixing process within a multi-shaft stirred reactor,yielding satisfactory results when compared to experimental data.Comparative analysis of the solid-liquid mixing performance under four different operational conditions reveals that applying variable speed conditions to the bottom impeller results in a smaller solid concentration gradient,reduced particle settling rates,and an improvement in solid homogeneity by 2.74% to 3.22% compared to other operational conditions.This operational condition enables more effective suspension and uniform distribution of solid particles throughout the reactor,thereby enhancing overall mixing efficiency.Flow fieldanalysis under different operational conditions indicates that applying variable speed to the bottom impeller significantlyimproves flow fieldstability,reduces axial back-mixing,and optimizes the axial distribution of solid particles.Further dynamic mode decomposition of the flowfieldand time series analysis of modal coefficientselucidate a multi-scale synergistic nesting chaos-enhanced mechanism characterized by“macroscopic stability,mesoscopic matching,and microscopic resonance”.This work provides a theoretical foundation for the design and operational optimization of multi-shaft stirred reactors.展开更多
The interaction and feedback between 3D neutronics and thermal hydraulics are of great significance in reactor safety analyses,particularly for the TRIGA reactor.Owing to the TRIGA reactor’s pulse-transient operation...The interaction and feedback between 3D neutronics and thermal hydraulics are of great significance in reactor safety analyses,particularly for the TRIGA reactor.Owing to the TRIGA reactor’s pulse-transient operation status,the power changes by six to eight orders of magnitude within an extremely short duration;this operation is significantly different from PWRs and imposes some challenges for conventional neutronics methods.To describe the transient status of rod insertion or withdrawal,a novel time-dependent particle transport algorithm based on the combined and moving geometry methods is developed and integrated into the neutronics code MagicMC,which is a Monte Carlo particle transport code developed by the Nuclear Energy and Application Laboratory.Combined with the subchannel model,this work presents neutronics and thermal-hydraulics coupling methods for high-fidelity simulation of the TRIGA reactor.First,a steady-state coupling method is established based on over-relaxation iteration,and the number of neutrons in the Monte Carlo simulation is adaptively controlled according to convergence.Subsequently,a transient coupling method is proposed based on the semi-implicit coupling strategy,and a dynamically changing time-step strategy is designed for the coupling iterative process to achieve reasonable convergence.The parameter mapping strategy between neutronics and thermal hydraulics was constructed using one-to-one mapping and volume weight methods.To verify the reliability of the methods,a JSI TRIGA Mark Ⅱ reactor was selected as the validation benchmark.The coupling results were in good agreement with the experimental data of the JSI TRIGA Mark Ⅱ reactor,and the coupling methods achieved a high-fidelity numerical simulation of TRIGA reactor.Therefore,the coupling methods proposed in this paper can provide technical support for reactor experiments and the safe operation of the TRIGA reactor.展开更多
Reactor physics is the study of neutron properties,focusing on the use of models to examine the interactions between neutrons and materials in nuclear reactors.Artificial intelligence(AI)has made significant contribut...Reactor physics is the study of neutron properties,focusing on the use of models to examine the interactions between neutrons and materials in nuclear reactors.Artificial intelligence(AI)has made significant contributions to reactor physics,such as in operational simulations,safety design,real-time monitoring,core management,and maintenance.This paper presents a comprehensive review of AI approaches in reactor physics,especially considering the category of Machine Learning(ML,which we also refer to as AI/ML to recall the AI name we found in articles),with the aim of describing the application scenarios,frontier topics,unsolved challenges,and future research directions.From equation solving and state parameter prediction to nuclear industry applications,this study provides a step-by-step overview of ML methods applied to steadystate,transient,and burnup problems.Most studies have achieved industry-demanded models by enhancing the efficiency of deterministic methods or correcting uncertainty methods,which leads to successful applications.However,research on ML methods in reactor physics is somewhat fragmented,and the ability to generalize models must be strengthened.Progress is still possible,especially in addressing theoretical challenges and enhancing industrial applications,such as building surrogate models and digital twins.展开更多
The synthesis of propylene carbonate(PC)from CO2 and propylene oxide(PO)is a typical gas-liquid biphasic system,where gas-liquid mass transfer efficiency significantly influences CO2 cycloaddition reactions.Here...The synthesis of propylene carbonate(PC)from CO2 and propylene oxide(PO)is a typical gas-liquid biphasic system,where gas-liquid mass transfer efficiency significantly influences CO2 cycloaddition reactions.Here,we proposed a microchannel reaction system for the CO2 cycloaddition reaction catalyzed by ionic liquid within an aqueous environment.The effect of liquid flow rate,temperature and residence time on gas-liquid flow pattern,catalytic performance and mass transfer were systematically investigated.The results revealed that the PC generation rate reached 560.11 mmol·ml−1·h−1at a 50 cm of flow distance under reaction conditions of 105℃,2.5 MPa,QG=176 ml·min−1 and QL=0.3 ml·min−1.Variations in mass transfer rate and reaction rate at different flow distances were experimentally studied.The reaction efficiency gradually decreased with increasing flow distance,which were attributed to the reduction of mass transfer caused by decreasing bubble velocity.Optimizing bubble velocity at an appropriate position enhanced reaction efficiency by improving mass transfer,achieving a 97.7%PC yield within 2.85 min.Furthermore,a kinetic model coupling intrinsic kinetics with gas-liquid mass transfer was developed for CO2 cycloaddition reaction.The kinetic model was applied to predict PC reaction rates in microchannel reactors at various temperatures and liquid flow rates,achieving an average relative error of 9.6%.展开更多
Nuclear reactor coolant pumps require frequent maintenance to ensure operational safety.One critical aspect of this maintenance is verifying the integrity of the mechanical sealing system.Due to the lack of an evaluat...Nuclear reactor coolant pumps require frequent maintenance to ensure operational safety.One critical aspect of this maintenance is verifying the integrity of the mechanical sealing system.Due to the lack of an evaluation criteria and an incomplete understanding of how end-face defects lead to failure,defective mechanical seals are often replaced empirically,which not only contributes to economic losses but also poses risks to reactor safety.To reveal the mechanism by which surface defects affect sealing performance,this study proposes a classification method for end-face defects based on the analysis of approximately one hundred used mechanical seals.A defect characterization model was established by extracting key features of the observed defects.The influence of these defects on sealing performance was analyzed using a liquid-thermal-solid coupling model.Changes in sealing gap,leakage rates,and film stiffness with respect to defect size,location,and other characteristics are discussed.This work contributes to a deeper understanding of defect failure mechanisms.These results can serve as a reference for evaluating defective seals.展开更多
This study investigated the effects of different manganese forms(MnCl2and MnO2)on the nitrogen and phosphorus removal performance of moving bed biofilm reactor(MBBR).Compared to the control without manganese,the...This study investigated the effects of different manganese forms(MnCl2and MnO2)on the nitrogen and phosphorus removal performance of moving bed biofilm reactor(MBBR).Compared to the control without manganese,the addition of MnCl2and MnO2increased NO3--N removal efficiency by 11.47%and 9.54%,and total nitrogen(TN)removal efficiency by 17.91%and 15.45%,respectively.The average accumulation of NO2--N decreased from 3.02 to 0.04 mg/L and 0.18 mg/L,respectively.The manganese redox system induced by MnCl2enhanced total phosephorus(TP)removal efficiency by approximately 3.5 times,while MnO2reduced TP removal efficiency by 2.94%.After discontinuing MnCl2and MnO2supplementation,denitrification efficiency significantly declined,and Mn(Ⅱ)reduced by BioMnOx could not sustain the manganese cycling process long-term.Extracellular polymeric substances(EPS)analysis revealed that MnCl2and MnO2stimulated the production of uronic acids,amideⅢ,and secondary amides in proteins.High-throughput sequencing indicated that Proteobacteria,Bacteroidetes,Chloroflexi,and Acidobacteria were the dominant phyla involved in denitrification,but different manganese sources altered the microbial community composition.The relative abundance of Proteobacteria generally decreased,while Bacteroidetes increased by 16.29%and 4.14%with MnCl2and MnO2.MnCl2was more conducive to the Bacteroidetes growth.This study provides a practical framework for applying manganeseenhanced MBBR system in wastewater treatment plants to improve nitrogen removal efficiency and operational stability.展开更多
Gas-liquid hydrodynamic characteristics under chemical reaction-enhanced mass transfer are crucial parameters for analyzing mass transfer behavior in microreactor,which can facilitate the optimization of the reaction ...Gas-liquid hydrodynamic characteristics under chemical reaction-enhanced mass transfer are crucial parameters for analyzing mass transfer behavior in microreactor,which can facilitate the optimization of the reaction conditions to achieve efficient mass transfer and improve catalytic performance.Herin,the movement and shrinkage of CO2 bubbles in the microreactor were visualized and monitored using a high-speed camera.Four typical patterns such as bubble flow,bubble-Taylor flow,Taylor flow and Taylor-annular flow were observed,and the impact of temperature on flow pattern transition lines was investigated.Furthermo re,the correlation models for predicting dimensionless initial CO2 bubble length(LB/d)and liquid-side volumetric mass transfer coefficient were developed to illustrate the effects of reaction conditions on the hydrodynamics and mass transfer behavior of CO2 bubble accompanying the chemical reaction.This work deepens the understanding of the hydrodynamics and mass transfer characteristics in a real CO2 cycloaddition reaction system and provides a theoretical basis for the design and optimization of gas-liquid microreactor.展开更多
Developing an irradiation embrittlement predictive model for low-Cu reactor pressure vessel steels is essential for extending the life of modern pressurized water reactors.Irradiation-produced dislocation loops are re...Developing an irradiation embrittlement predictive model for low-Cu reactor pressure vessel steels is essential for extending the life of modern pressurized water reactors.Irradiation-produced dislocation loops are recognized as the leading causes of embrittlement,surpassing the mechanism of Cu clustering with a reduction in Cu content in modern steels.Extensive data have been accumulated from surveillance programs on high-Cu steels used in old reactors.The extrapolation of these data to low-Cu systems for embrittlement prediction requires a comprehensive understanding of the interactions between Cu,particularly Cu-rich clusters,and radiation defects.Therefore,in this study,ab initio calculations of vacancy aggregation in solute clusters containing Cu,Ni,Mn,and Si were performed.The interactions between the solute elements and vacancies in the solute clusters and Fe matrix were analyzed.The results demonstrated the occurrence of attractive interactions between the Cu clusters and vacancies.The addition of Si and the synergistic effect between Ni and Mn facilitated vacancy aggregation in the solute clusters.The behavior of Mn correlated with its magnetic state,and the size effects of the solute elements were analyzed.展开更多
摘要Tannery wastewater is a challenging effluent due to its high concentrations of chromium,total sulfides,and recalcitrant organic compounds.This study presented a novel electrocoagulation(EC)process using a self-induced external-loop airlift reactor(ELAR),which operated without mechanical mixing and relied on hydrogen and oxygen microbubbles for internal circulation.Under optimal conditions(pH of 6,a current density of 50 mA/cm2,an electrolysis time of 20 min),the ELAR achieved high pollutant removal efficiencies(88%chemical oxygen demand(COD)removal and 92%Cr removal)with lower energy consumption(10.8 kW·h/m3)and reduced operational costs(1.83 USD per cubic meter)compared to a stirred tank reactor.Artificial neural network(ANN)modeling enabled data-driven optimization,further improving COD removal to 94%with reducing energy input.Kinetic and isotherm analyses confirmed chemisorption as the dominant mechanism.Life cycle assessment(LCA)and solar integration scenarios highlighted the environmental benefits of the ELAR system.Sludge characterization indicated potential for reuse as construction materials.This study uniquely introduced an ELAR system that operates without mechanical agitation,combined with ANN modeling and LCA,representing the first integrated approach for optimizing and assessing EC performance in tannery wastewater treatment.These findings demonstrate that the ELAR system offers a cost-effective and sustainable solution for industrial wastewater remediation.
基金supported by the Youth Innovation Promotion Association(YIPA)of the Chinese Academy of Sciences(No.E329290101)。
摘要Safety is of paramount importance in nuclear power plants.Accurate and reliable accident diagnosis is essential for ensuring operational safety in reactor systems.The convergence of Industry 4.0 technologies and deep learning methods has emerged as a promising approach for improving the operational safety of nuclear energy systems,particularly in fault detection and diagnosis(FDD)applications.This study proposes a novel adaptive accident diagnosis framework tailored for molten salt reactors(MSRs)based on an enhanced residual convolutional neural network(AM-RCNN).The AM-RCNN incorporates an anti-noise module implemented using the soft thresholding method,together with an attention mechanism,to improve robustness.Datasets representing eight distinct operational scenarios were generated using the RELAP5-TMSR simulation tool.An appropriate subset of input features for MSR accident diagnosis was selected using Pearson correlation analysis and random forest importance ranking.The models were subsequently trained,validated,optimized,and tested.Comparative analyses with conventional RCNN and CNN architectures demonstrate the diagnostic advantages of the proposed approach.In addition,the integration of Bayesian optimization further enhances the performance of the AM-RCNN.As a contribution to intelligent monitoring research for MSRs,the proposed method provides reliable decision support for nuclear system operation,particularly in autonomous scenarios.
基金supported by the Youth Innovation Promotion Association of the Chinese Academy of Sciences(No.2020261)the Strategic Priority Research Program of the Chinese Academy of Sciences(No.XDA02010000)the Young Potential Program of the Shanghai Institute of Applied Physics,Chinese Academy of Sciences(No.SINAP-YXJH-202412)。
摘要Knowing the precise relationship between fuel loading and reactivity is essential for guiding reactor criticality extrapolation and online refueling in molten salt reactors(MSRs).This study aims to explore and explain the linear relationship between reactivity and the reciprocal of uranium concentration in thermal-spectrum MSRs.By applying neutron balance theory,we analyzed the neutron absorption cross sections of various nuclides in single-lattice models with varying fuel concentrations.Our findings reveal a simple linear correlation between reactivity and the reciprocal of uranium concentration,which can be explained from the perspective of nuclear reaction cross sections that adhere to the 1/v law in the thermal neutron spectrum.Furthermore,we identified that the neutron absorption single-group cross sections of structural materials and carrier salts exhibit an approximately linear relationship with the fission single-group cross section of 235 U;similarly,the reciprocal of 235U’s fission cross section exhibits an approximately linear relationship with uranium concentration.This linear relationship deviates as the volume fraction of molten salt increases,due to a greater proportion of neutrons being captured in the resonance energy spectrum.However,it remains valid for molten salt volume fractions up to 25%and demonstrates broad applicability in the physical design and operation of thermal molten salt reactors.
基金supported by the Fusion Vacuum Electrophysics Device Design and Development Project(No.Y15HX11706)。
摘要Liquid-containing structures,including steam generators,water-cooling systems,in-containment refueling water storage tanks,suppression tanks,and tritiated water storage facilities,are integral components of nuclear reactor systems and are crucial for ensuring operational safety and stability.Traditional seismic analysis methods often struggle to accurately predict the dynamic behavior of such structures,particularly under transient events such as earthquakes.This paper presents a comprehensive study that applies the hybrid Eulerian-Lagrangian method to analyze fluid-structure interactions within these structures.The efficacy of this method for capturing the complex dynamics induced by liquid movement is demonstrated through simulations conducted primarily in a vertical storage tank.A comparative analysis with traditional response-spectrum analysis methods underscores the limitations of conventional approaches,particularly in terms of accounting for nonlinear free-surface motions and dynamic velocity distributions.The structural response of the tank containing liquid calculated using the hybrid Eulerian-Lagrangian method is approximately twice that calculated using the response-spectrum method,whereas in the case of a tank without liquid,the response is the same.Additionally,a high dynamic stress distribution exists near the liquid level of the structure.This study addresses the intricate interplay between structural components and fluid dynamics,thereby extrapolating insights from tanks to enhance safety protocols and design considerations for future nuclear devices.
基金financial support from the Nuclear Energy Science&Technology and Human Resource Development Project of the Japan Atomic Energy Agency/Collaborative Laboratories for Advanced Decommissioning Science(No.R04I034)The author Ruicong Xu appreciates the scholarship(financial support)from the China Scholarship Council(CSC,No.202106380073).
摘要Laser-induced aerosols,predominantly submicron in size,pose significant environmental and health risks during the decommissioning of nuclear reactors.This study experimentally investigated the removal of laser-generated aerosol particles using a water spray system integrated with an innovative system for pre-injecting electrically charged mist in our facility.To simulate aerosol generation in reactor decommissioning,a high-power laser was used to irradiate various materials(including stainless steel,carbon steel,and concrete),generating aerosol particles that were agglomerated with injected water mist and subsequently scavenged by water spray.Experimental results demonstrate enhanced aerosol removal via aerosol-mist agglomeration,with charged mist significantly improving particle capture by increasing wettability and size.The average improvements for the stainless steel,carbon steel,and concrete were 40%,44%,and 21%,respectively.The results of experiments using charged mist with different polarities(both positive and negative)and different surface coatings reveal that the dominant polarity of aerosols varies with the irradiated materials,influenced by their crystal structure and electron emission properties.Notably,surface coatings such as ZrO2and CeO2were found to possibly alter aerosol charging characteristics,thereby affecting aerosol removal efficiency with charged mist configurations.The innovative aerosol-mist agglomeration approach shows promise in mitigating radiation exposure,ensuring environmental safety,and reducing contaminated water during reactor dismantling.This study contributes critical knowledge for the development of advanced aerosol management strategies for nuclear reactor decommissioning.The understanding obtained in this work is also expected to be useful for various environmental and chemical engineering applications such as gas decontamination,air purification,and pollution control.
基金supported by the National Key R&D Program of China(2023YFA1507400)the National Natural Science Foundation of China(Grant No.22325805,22441010,22408203)+2 种基金Beijing Natural Science Foundation(Grant No.JQ22003)the Haihe Laboratory of Sustainable Chemical Transformations(24HHWCSS00007)Tsinghua University Dushi Program,and Sinopec Group(PR20232572).
摘要The electrochemical oxidation of biomass-derived platform molecule 5-hydroxymethylfurfural(HMF)represents a crucial pathway for green transformation into high-value chemicals,yet its reaction pathway selectivity,efficiency,and catalyst stability are strongly dependent on the electrolyte pH environment.Under alkaline conditions,high OH−concentration facilitates preferential aldehyde group oxidation and efficient deprotonation,enabling highly efficient synthesis of 2,5-furandicarboxylic acid,but simultaneously induces HMF self-degradation and complicates product separation.As pH decreases,the reaction mechanism shifts toward enhanced hydroxymethyl oxidation,leading to intermediate accumulation(such as 5-hydroxymethyl-2-furancarboxylic acid,2,5-diformylfuran,and 5-formyl-2-furancarboxylic acid)with challenging selectivity control and significantly slowed reaction kinetics.This review comprehensively examines the systematic differences in HMF oxidation pathways and surface catalytic mechanisms across the full pH range from alkaline to acidic conditions.Addressing the distinct reaction characteristics and core challenges in alkaline,near-neutral,and acidic media,we systematically evaluate design strategies for high-efficiency electrocatalysts and explore reactor design aspects.Future research should focus on process integration(with tailored reactor design)for energy consumption reduction in alkaline systems,targeted synthesis of diverse oxidation products in near-neutral systems,and innovative catalyst development for acidic systems,thereby advancing the efficiency,selectivity,and practical application of HMF electrooxidation technologies across the entire pH spectrum through synergistic optimization of catalyst,reactor,and process.
基金supported by the National Natural Science Foundation of China(Nos.U22A20241 and 21876105)Shaanxi“Scientist&Engineer”Team(No.2023KXJ-131)Xianyang Key S&T Special Projects(No.L2023-ZDKJ-QCY-SXGG-GY-007).
摘要Electrocatalytic oxidation is a promising technology for wastewater treatment,but poor mass transfer and low current efficiency impaded its engineering applications.To address these issues,researchers have developed flow-through electrochemical reactors(FERs)primarily based on porous electrodes,where the pore structure significantly impacts the electrochemical reaction.Therefore,this study systematically investigated the impact of different pore sizes on the fluid dynamics,current potential distribution,mass transfer processes,and degradation performance of FERs.Computational Fluid Dynamics(CFD)results indicated that smaller pore sizes(10μm,30μm,and 60μm)significantly enhanced convective effects within the fluid,reduced short fluid paths and dead volume regions within the microchannels,and facilitated mass transfer processes.Additionally,smaller pore sizes were conducive to a uniform distribution of current density.Furthermore,Fe(CN)64−oxidation experiments revealed that the current density at a pore size of 160μm was notably lower than that at 10μm,indicating slower mass transfer of Fe(CN)64−within larger channels.Calculations based on experimental results demonstrated that the mass transfer rate at a pore size of 10μm was six times than that at 160μm,further confirming the enhancing effect of smaller pore sizes on the mass transfer process.Lastly,experiments on tetracycline degradation showed that at a residence time of 90 s,the removal efficiencies of tetracycline were 80%and 39.1%for porous electrodes with pore sizes of 10μm and 160μm,respectively,demonstrating the superior removal efficiency of smaller pore sizes for tetracycline degradation.
摘要Correction to:Nuclear Science and Techniques(2025)36:111 http://gffzzd3cc09b8251d45dfs6ucbxw9wcfuf6bcw.ffgz.tsg.suse.edu.cn/10.1007/s41365-025-01681-9.In the sentence beginning‘The weights of the parameters used for the…’in this article,the text‘RCSs’should have read‘SCRs’.In Table 7 of this article,the column header ρ_fuel was incorrect and should have read CPv_fuel.For completeness and transparency,the old incorrect version and the corrected version of Table 7 are displayed below.
基金supported by Natural Science Basic Research Program of Shaanxi Province(Grant Nos.2025JC-YBMS-475,2025JC-YBMS-420)Joint Funds of the National Natural Science Foundation of China(Grant No.U20B2036)National Natural Science Foundation of China(Grant No.52274064).
摘要A steady thermo-hydraulic model of the helical tube steam generator was first constructed to study the coupled heat transfer process between the primary and secondary sides based on a discrete modeling method,and obtain the heat flux density distribution along the steam generator.Then,taking the obtained coupled heat flux density distribution as the thermal boundary condition input,considering the dynamic variation of physical properties on the secondary side,a dynamic model based on the time-domain method suitable for two-phase flow instability among parallel multiple channels of the steam generator was constructed.Finally,taking the lead-bismuth fast reactor as an example,flow instability of the steam generator was analyzed under an inlet lead-bismuth temperature of 320℃~480℃ and an inlet water temperature of 160℃~240℃.It was found that flow instability is less likely to occur under coupled heat conditions,compared with that under uniform or linear distribution.Flow excursion is prone to occur under low inlet temperature of the primary or secondary side.As the inlet lead bismuth temperature increases from 320℃ to 480℃,average heat flux significantly increases by 2.5 times,and the non-uniformity of heat flux distribution increases of 49%.Meanwhile,the density wave oscillation amplitude gradually increases,and system stability weakens.
基金funded by the French National Agency for Research(ANR,METASOL project,contract N°ANR-20-CE05-0008-02 and NEWIRON project,contract N°ANR-24-PESP-0008).
摘要Solar iron production from H2-based direct reduction of iron ore was investigated in a continuously particle-fed reactor for performance analysis.Concentrated solar energy was used as the external source of high-temperature process heat and hydrogen was used as reductant,thereby enabling decarbonation of the iron-making process.The solar reactor featured a rotary kiln composed of a refractory conical cavity,in which the reacting particles were injected and extracted under a flow of H2reductant,subjected to real concentrated solar irradiation.The reactor was experimentally tested under both continuous and semi-continuous operation modes to determine and compare the key performance metrics.The on-sun experiments focused on unraveling the effect of the cavity material and operating mode on the process performance including H2consumption,particle conversion,and iron product purity.A cavity made of mullite appeared unfavorable for continuous particle flow due to agglomeration and adherence to the walls.Conversely,boron nitride promoted particle flowability while totally eliminating adhesion to the walls.In continuous mode,the conversion was kinetically limited due to a low particle residence time in the cavity.Semi-continuous operation was thus tested with cavity rotation turned off during injection and rotation turned on for particles extraction,which warranted a high-enough reaction duration with particle conversion approaching completion.Maximum conversion up to 99%was achieved with complete recovery yield of the converted product at the reactor outlet.Characterization of solid products(XRD,SEM/EDX)confirmed the successful production of pure sponge iron.Further scaling-up of the solar reactor concept with longer cavity length will enhance the particle residence time,thereby favoring their conversion in continuous mode.
基金supported by the National Natural Science Foundation of China(22288102 and 22408013)China Postdoctoral Science Foundation(2025M771144)Postdoctoral Fellowship Program of China Postdoctoral Science Foundation(GZC20250779)。
摘要Rotating packed beds(RPBs),as classic process intensification reactors,have been adopted for shipboard desulfurization to meet the stringent emission limits.However,conventional RPBs are unsuitable for open-loop seawater scrubbing because the required large liquid throughput necessitates an enlarged rotor diameter,leading to prohibitive power consumption and large footprint.To address this limitation,this work developed a high-gravity assisted atomization reactor(HAAR)with multi-phase intensification internals,in which a downsized rotor was used exclusively for liquid atomization while guide baffles and static wire meshes were integrated as internal structures to improve gas distribution and promote liquid secondary dispersion,respectively.The open-and closed-loop desulfurization performance and energy dissipation(ED)of HAAR were systematically evaluated,clarifying the effect of multiphase intensification internals.Experiments under open-loop seawater and closed-loop sodium sulfite systems achieved desulfurization efficiencies of 76.2%to 93.8%and 92.5%to 98.2%,respectively,which meet the emission limits.Internal installation caused marginal increases in ED,while significantly enhancing the desulfurization process.An artificial neural network(ANN)model was established to quantify parameter importance and evaluate operating strategies,forecasting within±10%deviation from the experimental data.Compared with conventional reactors,HAAR achieved about 1 order of magnitude higher the overall gas-phase volumetric mass-transfer coefficient(KGA)than spray towers with slightly enlarged ED and comparable values of KGA for conventional RPBs with 1—2 orders of magnitude lower ED,demonstrating the potential for desulfurization applications in marine engineering.This work stimulated advances in marine exhaust gas purification and provided valuable guidance for internal-structure design and data-driven ANN analysis aimed at optimized performance and intelligent operation.
基金supported by the National Key Research and Development Program of China(No.2022YFC3005804).
摘要The flow-through electrochemical reactor had attracted much attention in wastewater treatment because it can improve the mass transfer process of pollutants.However,its application was limited because the matched porous electrode was difficult to process,easy to be blocked and had insufficient treatment capacity.Therefore,a novel type of flow-through electrochemical reactor based on activated carbon particles was proposed in this study,which enhanced mass transfer and electrochemical process.The effects of process parameters such as voltage and particle dosage were also investigated.Compared with the traditional flow-through electrochemical reactor,the new electrochemical reactor with activated carbon particles layer improved the removal efficiency of RhB from 13.0%to 97.9%under the same operating conditions.A kinetic model based on the new reactor was established,which showed that the removal process of RhB conformed to the apparent first-order kinetic model.Meanwhile,the apparent first-order surface-induced adsorption reaction rate constant and electrochemical reaction rate constant were determined.In order to investigate the operation stability of the new reactor,six rounds of long-term experiments were carried out in this study.The results showed that the removal efficiency of RhB remained above 96.5%during each round of experiments without blockage occurring.In the treatment of actual printing and dyeing wastewater,the new reactor could achieve a COD removal rate of 78.6%after 8 reaction hours.Therefore,the flow-through electrochemical reactor combined with activated carbon particles layer had a good application prospect in the field of wastewater treatment.
基金supported by the Chongqing Natural Science Foundation Innovation and Development Joint Fund Project(CSTB2022NSCQ-LZX0014)Fundamental Research Funds for Central Universities(2022CDJQY-005,2023CDJXY-047)At the same time,this work also received funding from the China Scholarship Council and Young Elite Scientists Sponsorship Program for Doctoral Students by the China Association for Science and Technology(CAST)to Tong Meng.
摘要Research on the solid-liquid mixing process and its enhancement mechanisms in multi-shaft stirred reactors still face challenges that limit its industrial applications.This work employs the RNG k-εmodel combined with the EE-KTGF model to numerically simulate the solid-liquid mixing process within a multi-shaft stirred reactor,yielding satisfactory results when compared to experimental data.Comparative analysis of the solid-liquid mixing performance under four different operational conditions reveals that applying variable speed conditions to the bottom impeller results in a smaller solid concentration gradient,reduced particle settling rates,and an improvement in solid homogeneity by 2.74% to 3.22% compared to other operational conditions.This operational condition enables more effective suspension and uniform distribution of solid particles throughout the reactor,thereby enhancing overall mixing efficiency.Flow fieldanalysis under different operational conditions indicates that applying variable speed to the bottom impeller significantlyimproves flow fieldstability,reduces axial back-mixing,and optimizes the axial distribution of solid particles.Further dynamic mode decomposition of the flowfieldand time series analysis of modal coefficientselucidate a multi-scale synergistic nesting chaos-enhanced mechanism characterized by“macroscopic stability,mesoscopic matching,and microscopic resonance”.This work provides a theoretical foundation for the design and operational optimization of multi-shaft stirred reactors.
基金supported by the National Natural Science Foundation of China(Nos.12475174 and 12542055)the Natural Science Foundation of Hunan Province(Nos.2022JJ40345 and 2021JJ40445).
摘要The interaction and feedback between 3D neutronics and thermal hydraulics are of great significance in reactor safety analyses,particularly for the TRIGA reactor.Owing to the TRIGA reactor’s pulse-transient operation status,the power changes by six to eight orders of magnitude within an extremely short duration;this operation is significantly different from PWRs and imposes some challenges for conventional neutronics methods.To describe the transient status of rod insertion or withdrawal,a novel time-dependent particle transport algorithm based on the combined and moving geometry methods is developed and integrated into the neutronics code MagicMC,which is a Monte Carlo particle transport code developed by the Nuclear Energy and Application Laboratory.Combined with the subchannel model,this work presents neutronics and thermal-hydraulics coupling methods for high-fidelity simulation of the TRIGA reactor.First,a steady-state coupling method is established based on over-relaxation iteration,and the number of neutrons in the Monte Carlo simulation is adaptively controlled according to convergence.Subsequently,a transient coupling method is proposed based on the semi-implicit coupling strategy,and a dynamically changing time-step strategy is designed for the coupling iterative process to achieve reasonable convergence.The parameter mapping strategy between neutronics and thermal hydraulics was constructed using one-to-one mapping and volume weight methods.To verify the reliability of the methods,a JSI TRIGA Mark Ⅱ reactor was selected as the validation benchmark.The coupling results were in good agreement with the experimental data of the JSI TRIGA Mark Ⅱ reactor,and the coupling methods achieved a high-fidelity numerical simulation of TRIGA reactor.Therefore,the coupling methods proposed in this paper can provide technical support for reactor experiments and the safe operation of the TRIGA reactor.
基金supported by the Natural Science Foundation of Shanghai(No.23ZR1429300)Innovation Funds of CNNC(Lingchuang Fund,No.CNNC-LCKY-202234)the National Natural Science Foundation of China(No.U25A20200)。
摘要Reactor physics is the study of neutron properties,focusing on the use of models to examine the interactions between neutrons and materials in nuclear reactors.Artificial intelligence(AI)has made significant contributions to reactor physics,such as in operational simulations,safety design,real-time monitoring,core management,and maintenance.This paper presents a comprehensive review of AI approaches in reactor physics,especially considering the category of Machine Learning(ML,which we also refer to as AI/ML to recall the AI name we found in articles),with the aim of describing the application scenarios,frontier topics,unsolved challenges,and future research directions.From equation solving and state parameter prediction to nuclear industry applications,this study provides a step-by-step overview of ML methods applied to steadystate,transient,and burnup problems.Most studies have achieved industry-demanded models by enhancing the efficiency of deterministic methods or correcting uncertainty methods,which leads to successful applications.However,research on ML methods in reactor physics is somewhat fragmented,and the ability to generalize models must be strengthened.Progress is still possible,especially in addressing theoretical challenges and enhancing industrial applications,such as building surrogate models and digital twins.
基金supported by the National Key Projects for Fundamental Research and development of China(2020YFA0710202)the China Postdoctoral Science Foundation(2024M761567)Shandong Postdoctoral Science Foundation(SDCX-ZG-202400271).
摘要The synthesis of propylene carbonate(PC)from CO2 and propylene oxide(PO)is a typical gas-liquid biphasic system,where gas-liquid mass transfer efficiency significantly influences CO2 cycloaddition reactions.Here,we proposed a microchannel reaction system for the CO2 cycloaddition reaction catalyzed by ionic liquid within an aqueous environment.The effect of liquid flow rate,temperature and residence time on gas-liquid flow pattern,catalytic performance and mass transfer were systematically investigated.The results revealed that the PC generation rate reached 560.11 mmol·ml−1·h−1at a 50 cm of flow distance under reaction conditions of 105℃,2.5 MPa,QG=176 ml·min−1 and QL=0.3 ml·min−1.Variations in mass transfer rate and reaction rate at different flow distances were experimentally studied.The reaction efficiency gradually decreased with increasing flow distance,which were attributed to the reduction of mass transfer caused by decreasing bubble velocity.Optimizing bubble velocity at an appropriate position enhanced reaction efficiency by improving mass transfer,achieving a 97.7%PC yield within 2.85 min.Furthermore,a kinetic model coupling intrinsic kinetics with gas-liquid mass transfer was developed for CO2 cycloaddition reaction.The kinetic model was applied to predict PC reaction rates in microchannel reactors at various temperatures and liquid flow rates,achieving an average relative error of 9.6%.
基金Supported by National Natural Science Foundation of China(Grant No.51975315)National Science and Technology Major Project of China(Grant No.2019-IV-0020-0088).
摘要Nuclear reactor coolant pumps require frequent maintenance to ensure operational safety.One critical aspect of this maintenance is verifying the integrity of the mechanical sealing system.Due to the lack of an evaluation criteria and an incomplete understanding of how end-face defects lead to failure,defective mechanical seals are often replaced empirically,which not only contributes to economic losses but also poses risks to reactor safety.To reveal the mechanism by which surface defects affect sealing performance,this study proposes a classification method for end-face defects based on the analysis of approximately one hundred used mechanical seals.A defect characterization model was established by extracting key features of the observed defects.The influence of these defects on sealing performance was analyzed using a liquid-thermal-solid coupling model.Changes in sealing gap,leakage rates,and film stiffness with respect to defect size,location,and other characteristics are discussed.This work contributes to a deeper understanding of defect failure mechanisms.These results can serve as a reference for evaluating defective seals.
基金supported by the Key Projects of Natural Science Research in Colleges and Universities of Anhui Province(No.2024AH050453)Anhui Natural Science Foundation Project(Nos.2408085QD117 and 2408085MC064)。
摘要This study investigated the effects of different manganese forms(MnCl2and MnO2)on the nitrogen and phosphorus removal performance of moving bed biofilm reactor(MBBR).Compared to the control without manganese,the addition of MnCl2and MnO2increased NO3--N removal efficiency by 11.47%and 9.54%,and total nitrogen(TN)removal efficiency by 17.91%and 15.45%,respectively.The average accumulation of NO2--N decreased from 3.02 to 0.04 mg/L and 0.18 mg/L,respectively.The manganese redox system induced by MnCl2enhanced total phosephorus(TP)removal efficiency by approximately 3.5 times,while MnO2reduced TP removal efficiency by 2.94%.After discontinuing MnCl2and MnO2supplementation,denitrification efficiency significantly declined,and Mn(Ⅱ)reduced by BioMnOx could not sustain the manganese cycling process long-term.Extracellular polymeric substances(EPS)analysis revealed that MnCl2and MnO2stimulated the production of uronic acids,amideⅢ,and secondary amides in proteins.High-throughput sequencing indicated that Proteobacteria,Bacteroidetes,Chloroflexi,and Acidobacteria were the dominant phyla involved in denitrification,but different manganese sources altered the microbial community composition.The relative abundance of Proteobacteria generally decreased,while Bacteroidetes increased by 16.29%and 4.14%with MnCl2and MnO2.MnCl2was more conducive to the Bacteroidetes growth.This study provides a practical framework for applying manganeseenhanced MBBR system in wastewater treatment plants to improve nitrogen removal efficiency and operational stability.
基金supported by the National Key Projects for Fundamental Research and Development Program of China(2020YFA0710202)the China Postdoctoral Science Foundation(2024M761567)Shandong Postdoctoral Science Foundation(SDCX-ZG-202400271)。
摘要Gas-liquid hydrodynamic characteristics under chemical reaction-enhanced mass transfer are crucial parameters for analyzing mass transfer behavior in microreactor,which can facilitate the optimization of the reaction conditions to achieve efficient mass transfer and improve catalytic performance.Herin,the movement and shrinkage of CO2 bubbles in the microreactor were visualized and monitored using a high-speed camera.Four typical patterns such as bubble flow,bubble-Taylor flow,Taylor flow and Taylor-annular flow were observed,and the impact of temperature on flow pattern transition lines was investigated.Furthermo re,the correlation models for predicting dimensionless initial CO2 bubble length(LB/d)and liquid-side volumetric mass transfer coefficient were developed to illustrate the effects of reaction conditions on the hydrodynamics and mass transfer behavior of CO2 bubble accompanying the chemical reaction.This work deepens the understanding of the hydrodynamics and mass transfer characteristics in a real CO2 cycloaddition reaction system and provides a theoretical basis for the design and optimization of gas-liquid microreactor.
基金supported by the National Natural Science Foundation of China(No.12205188)Natural Science Foundation of Shanghai(No.22ZR1428700)China National Nuclear Corporation(No.CNNC-LCKY-202236).
摘要Developing an irradiation embrittlement predictive model for low-Cu reactor pressure vessel steels is essential for extending the life of modern pressurized water reactors.Irradiation-produced dislocation loops are recognized as the leading causes of embrittlement,surpassing the mechanism of Cu clustering with a reduction in Cu content in modern steels.Extensive data have been accumulated from surveillance programs on high-Cu steels used in old reactors.The extrapolation of these data to low-Cu systems for embrittlement prediction requires a comprehensive understanding of the interactions between Cu,particularly Cu-rich clusters,and radiation defects.Therefore,in this study,ab initio calculations of vacancy aggregation in solute clusters containing Cu,Ni,Mn,and Si were performed.The interactions between the solute elements and vacancies in the solute clusters and Fe matrix were analyzed.The results demonstrated the occurrence of attractive interactions between the Cu clusters and vacancies.The addition of Si and the synergistic effect between Ni and Mn facilitated vacancy aggregation in the solute clusters.The behavior of Mn correlated with its magnetic state,and the size effects of the solute elements were analyzed.