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中国化学工程学报(英文版)
中国化学工程学报(英文版)

廖叶华

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1004-9541

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中国化学工程学报(英文版)/Journal Chinese Journal of Chemical EngineeringCSCDCSTPCD北大核心EISCI
查看更多>>The Chinese Journal of Chemical Engineering (Bimonthly, started in 1982) is the official journal of the Chemical Industry and Engineering Society of China and published by the Chemical Industry Press. The aim of the journal is to develop the international exchange of scientific and technical information in the field of chemical engineering. It publishes original research papers that cover the major advancements and achievements in chemical engineering in China as well as some articles from overseas contributors. The topics of journal include chemical engineering, chemical technology, biochemical engineering, energy and environmental engineering and other relevant fields. Papers are published on the basis of their relevance to theoretical research, practical application or potential uses in the industry as Research Papers, Research Notes, Chemical Engineering Data and Reviews. Prominent domestic and overseas chemical experts and scholars have been invited to form an International Advisory Board and the Editorial Committee. It enjoys recognition among Chinese academia and industry as a reliable source of information of what is going on in chemical engineering research, both domestic and abroad.
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    Efficient and eco-friendly carbon dioxide capture with metal phosphate catalysts in monoethanolamine solutions

    Chunjin ZhangXue YaoLinlin ChenHua Tang...
    121-130页
    查看更多>>摘要:Catalytic carbon dioxide(CO2)desorption has emerged as a promising approach to enhance the effi-ciency of CO2 capture while minimizing energy demands,crucial for advancing chemical absorption methods.This study investigates the catalytic potential of three metal phosphates(aluminium phosphate(AlPO4),cobaltous phosphate(Co3(PO4)2),and zinc phosphate(Zn3(PO4)2))in improving the MEA(monoethanolamine)-based CO2 absorption-desorption performance.Among the catalysts tested,AlPO4 demonstrated superior performance,enhancing CO2 absorption capacity by 4.2%to 9.3%and desorption capacity by 12.3%to 22.7%across five cycles.Notably,AlPO4 increased the CO2 desorption rate by over 104.4%at a desorption temperature of 81.3 ℃,simultaneously reducing the required sensible heat by 12.3%to 22.7%,compared to processes without catalysts.The improved efficiency is attributed to AlPO4's ability to effectively transfer hydrogen protons from protonated MEA to carbamate,thereby facilitating the decomposition of carbamate and regenerating CO2.This research introduces a viable,cost-effective,and eco-friendly solid acid catalyst strategy for CO2 desorption,contributing to the development of more energy-efficient CO2 capture technologies.

    Real-time risk prediction of chemical processes based on attention-based Bi-LSTM

    Qianlin WangJiaqi HanFeng ChenXin Zhang...
    131-141页
    查看更多>>摘要:Refined risk prediction must be achieved to guarantee the safe and steady operation of chemical pro-duction processes.However,there is high nonlinearity and association coupling among massive,complicated multisource process data,resulting in a low accuracy of existing prediction technology.For that reason,a real-time risk prediction method for chemical processes based on the attention-based bidirectional long short-term memory(Attention-based Bi-LSTM)is proposed in this study.First,multisource process data,such as temperature,pressure,flow rate,and liquid level,are preprocessed for denoising.Data correlation is analyzed in time windows by setting time windows and moving step lengths to explore correlations,thus establishing a complex network model oriented to the chemical production process.Second,network structure entropy is introduced to reduce the dimensions of the multisource process data.Moreover,a 1D relative risk sequence is acquired by max-min deviation standardization to judge whether the chemical process is in a steady state.Finally,an Attention-based Bi-LSTM algorithm is established by integrating the attention mechanism and the Bi-LSTM network to fit and train 1D relative risk sequences.In that way,the proposed algorithm achieves real-time prediction and intelligent perception of risk states during chemical production.A case study based on the Tennessee Eastman process(TEP)is conducted.The validity and reasonability of the proposed method are verified by analyzing distribution laws of relative risks under normal and fault conditions.Also,the proposed algorithm importantly improves the prediction accuracy of chemical process risks relative to that of existing prediction technologies.

    Strong water-resistant Co-Mn solid solution derived from bimetallic metal-organic frameworks for catalytic destruction of toluene

    Juan LeiYing HuangBaobao BaiXiaoli Ren...
    142-151页
    查看更多>>摘要:The construction of Co-Mn mixed-metal oxide catalysts derived from bimetallic metal-organic frameworks(MOFs)has great significance for catalytic destruction of toluene.Hence,a series of CoaMnbOx-MOFs with different physicochemical properties were successfully synthesized via pyrolysis of Co-Mn bimetallic MOFs.Attributing to the higher specific surface area,more active sites(Co3+and Mn3+),stronger reducibility,and abundant defect sites,the as-prepared Co1Mn1Ox-MOFs displayed an optimal catalytic performance,especially the excellent water vapor resistance.The result of the in situ diffuse reflectance infrared Fourier transform spectroscopy demonstrated that toluene can be degraded at relatively low temperatures(<100 ℃).Benzyl alcohol,benzaldehyde,benzoic acid,and maleic an-hydride were the main intermediate products in toluene degradation process.This work reveals the value of bimetallic MOFs derived Co-Mn oxides for toluene oxidation and presents a novel avenue for designing mixed-metal oxide catalysts with potential applications in volatile organic compounds(VOCs)catalytic oxidation.

    Multi-objective optimization of wastewater treatment using electrocoagulation

    Sarra HamidoudMalek BendjaballahImane KouadriMohammed Rabeh Makhlouf...
    152-160页
    查看更多>>摘要:This work aims to develop a model that will improve the performance and energy efficiency of a novel electrocoagulation(EC)process utilized in wastewater treatment to extrapolate the findings to an in-dustrial scale.Utilizing Design of experiments(DOE)allows us to maximize treatment efficiency while minimizing energy consumption.This evaluation was conducted by employing aluminum electrodes as sacrificial anodes.The main factors identified in preliminary experiments are the pH of the medium,the applied potential,and the treatment time.A three-level(33)factorial design was employed to examine the relationship between efficiency performance and energy consumption.Under optimal conditions,treatment efficiency is around 66%for biological oxygen demand within 5 days(BOD5),98%for chemical oxygen demand(COD),associated with a minimum energy consumption of 2.39 kW·h·mg-1 of COD.The parameters most significantly influenced by the mathematical models obtained were the potential or applied current,treatment time,and their interaction.The modeling results were also correlated with the experimental results and there were minimal discrepancies.The modeling results were also corre-lated with the experimental results to assess the accuracy and validity of the model's predictions and there were minimal discrepancies.The results provide promising possibilities for advancing an envi-ronmentally friendly wastewater treatment methodology and an economically viable technological solution.

    Exploring the enigmatic interplay between polymers and nanoparticles in a non-Newtonian viscoelastic fluid

    R.KhanA.AlameerM.AfrazA.Ahmad...
    161-169页
    查看更多>>摘要:Non-Newtonian fluids have variable viscosity in response to shear rate,and the presence of polymers and nanoparticles further modifies their flow characteristics.In this paper,the effects of polymers and nanoparticles on mass and heat transfer control,drag reduction,boundary layer flow development in a polymeric finitely extensible nonlinear elastic-Peterlin(FENE-P)fluid,and the significance of nano-science in modern day life are discussed.We examine the behavior of polymer additives by utilizing a dispersion model in conjunction with the polymeric FENE-P model.Our work includes a comparison with Cortell's earlier work,which only looked at the behavior of polymer's inclusion into the base fluid.This research investigates numerically how the inclusion of polymers and nanoparticles into the base fluid reduces drag while increasing heat and mass transfer.The observed variations in skin friction,reduced Nusselt,and Sherwood numbers indicate an intriguing correlation between the rates of heat and mass transport and surface drag.More precisely,as the heat and mass transfer efficiency improve,the surface encounters less resistance,which is commonly referred to as drag.In summary,the research highlights the capability of polymers and nanoparticles to effectively modify fluid dynamics,minimize drag,and enhance mass and heat transfer inside the flow region.

    Enhancing CO2 methanation via doping CeO2 to Ni/Al2O3 and stacking catalyst beds

    Yutong PanPengju GaoShixiong TangXiaoyu Han...
    170-180页
    查看更多>>摘要:This work synthesized a series of Ni/CeO2/Al2O3 catalysts with varying CeO2 doping amounts to enhance low-temperature CO2 methanation.The introduction of CeO2 weakens the interaction between Ni and Al2O3,leading to the formation of Ni-CeO2 active sites.This results in a high dispersion of Ni and CeO2,improved catalyst reducibility,increased number of active sites,and enhanced the CO2 methanation.This work further investigated the impact of WHSV and catalyst stacking configuration to enhance the re-action.When the catalyst is stacked into three segments with a temperature gradient of 330 ℃,300 ℃,and 250 ℃ under WHSV=9000 ml·h-1·g-1,the CO2 conversion significantly increases to 95%,which is remarkably close to the thermodynamic equilibrium(96%).

    Optimizing membrane degassing with Hyflon AD 40L-modified polypropylene hollow fiber and pre-filling techniques

    Hongyu ChenYinchao JinZhiying LuYangming Cheng...
    181-190页
    查看更多>>摘要:This paper conducts a comparative analysis of the anti-wetting properties and degassing performance of both homemade and commercial membranes.Additionally,it introduces a unique approach to hydro-phobic modification of high-flux membranes.The study involved the utilization of Hyflon AD40L for multiple coatings on the surface of polypropylene(PP)hollow fiber membranes.Several variables,including modification solution concentration,temperature,coating duration,number of coating cycles,polymer type,and the choice and concentration of the pore-blocking agent,were systematically investigated to establish the optimal modification process.Characterization of the modified membrane and degassing experiments revealed significant improvements.Specifically,the contact angle increased from 95.5° to 113.1°,while the trans-membrane differential pressure surged from 10.7 kPa to 154.6 kPa,marking a remarkable 14.4-fold enhancement.This enhancement is attributed to the improved anti-wetting capabilities of the modified membrane.In the degassing experiments,the modified membrane-based module demonstrated an impressive 95.0%dissolved oxygen removal rate,with a corresponding mass transfer coefficient reaching 18.01 × 10-3 m·h-1.These results underscore the substantial potential of the Hyflon AD40 L/PP membrane for applications in membrane degassing.

    Cyclone-coalescence separation technology for enhanced droplet removal in natural gas purification process

    Jianan FanXianggang ZhangXia JiangZhenghao Yang...
    191-203页
    查看更多>>摘要:Natural gas is increasingly recognized as a clean energy source due to its high quality,low pollution levels,and abundant availability.However,certain gas fields contain complex components that require purification for efficient transportation and utilization.Addressing these issues involves efficient gas-liquid separation technology.Existing gas-liquid separation units face challenges such as efficiency,liquid entrainment,energy consumption,and the need for consumable replacement.This study focuses on a novel cyclone-coalescence separator that combines centrifugal and coalescence principles.Imple-mented in a high-acid natural gas purification plant in China,the cyclone-coalescence separator demonstrated efficiency primarily influenced by gas velocity and diameter.Optimal performance was observed with a 75 mm diameter reactor at velocities of 8-12 m·s-1,achieving a peak efficiency of 96%.The hydrophilic glass fiber with a monofilament structure can coalesce droplets effectively.In practical industrial use,under operational conditions,the hydrocyclone's liquid discharge rate is 89.6 kg·h 1 with an inlet concentration of 382.7 g·m3.Over a 400-h cycle,the cyclone-coalescence separator demon-strated superior separation performance with an average liquid discharge volume of 9.09 mg·kg-1,compared to 4.93 mg·kg-1 for the precision filter.This successful industrial implementation presents a promising approach to natural gas purification.

    Metal oxide particle electrodes for degradation of high concentration phenol wastewater via electrocatalytic advanced oxidation

    Baowei WangYi LiaoTingting Wang
    204-213页
    查看更多>>摘要:High-concentration phenol wastewater is pollutant of concern that pose significant risks to human health and the environment.Three-dimensional electrocatalytic oxidation is one of the most promising wastewater treatment technologies because of its high treatment efficiency,low energy consumption and low secondary pollution.Lower-cost and higher-performance particles still faces great challenges.In this work,metal oxide particle electrodes were prepared using granular activated carbon(GAC)as a substrate to study the degradation of phenol by three-dimensional electrocatalytic oxidation.GAC par-ticle electrodes loaded with different monometallic oxides(Mn,Fe,Co,Ce)and bimetallic oxides(Fe and Ce)were prepared by the impregnation method.The effectiveness of the particle electrodes in degrading phenol was greatly improved after active components loading.Among all monometallic oxide particle electrodes,the concentration degradation efficiency was in the order of Ce/GAC>Co/GAC>Mn/GAC>Fe/GAC,and the COD degradation efficiency was Ce/GAC>Fe/GAC>Co/GAC>Mn/GAC.After optimizing the loading metal type and loading amount,it was found that the 1.1%Fe-2.7%Ce/GAC particle electrode perform the best,with a phenol degradation efficiency of 95.48%,a COD degradation rate of 94.35%,an energy consumption of 0.75 kW·h.kg-1 COD.This lower-cost and higher-performance particle highlights a reliable route for solving the problem of particle electrode materials limiting the efficient treatment of phenol-containing wastewater.

    Radial basis function neural network and overlay sampling uniform design toward polylactic acid molecular weight prediction

    Jiawei WuZhihong ChenZhongwen SiXiaoling Lou...
    214-221页
    查看更多>>摘要:Polylactic acid(PLA)is a potential polymer material used as a substitute for traditional plastics,and the accurate molecular weight distribution range of PLA is strictly required in practical applications.Therefore,exploring the relationship between synthetic conditions and PLA molecular weight is crucially important.In this work,direct polycondensation combined with overlay sampling uniform design(OSUD)was applied to synthesize the low molecular weight PLA.Then a multiple regression model and two artificial neural network models on PLA molecular weight versus reaction temperature,reaction time,and catalyst dosage were developed for PLA molecular weight prediction.The characterization results indicated that the low molecular weight PLA was efficiently synthesized under this method.Meanwhile,the experimental dataset acquired from OSUD successfully established three predictive models for PLA molecular weight.Among them,both artificial neural network models had significantly better predictive performance than the regression model.Notably,the radial basis function neural network model had the best predictive accuracy with only 11.9%of mean relative error on the validation dataset,which improved by 67.7%compared with the traditional multiple regression model.This work successfully predicted PLA molecular weight in a direct polycondensation process using artificial neural network models combined with OSUD,which provided guidance for the future implementation of molecular weight-controlled polymer's synthesis.