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Prediction of effective diffusivity of porous media using deep learning method based on sample structure information self-amplification

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Energy and AI 2020年第2期2卷 148-156页

作者： H.Wang Y.Yin X.Y.Hui J.Q.Bai Z.G.Qu School of Aeronautics Northwestern Polytechnical UniversityXi’anShaanxi 710072China MOE Key Laboratory of Thermo-Fluid Science and Engineering School of Energy and Power EngineeringXi’an Jiaotong UniversityXi’anShaanxi 710049China

effective diffusivity is one of the basic transport coefficients used to describe the mass transport capability of a porous *** this study,a deep learning method based on a convolutional neural network(CNN)with sam-ple structure information self-amplification is proposed to predict the effective diffusivity of a porous medium,which is considerably influenced by the morphological and topological parameters of the porous *** this method,the geometric structures of three-dimensional(3D)porous media are reproduced via a stochastic reconstruction *** of the effective diffusivities of the reconstructed porous media were first estab-lished by the pore-scale lattice Boltzmann method(LBM)simulation.A large number of geometric structures of 3D porous media are obtained using the proposed sample structure information self-amplification *** 3D geometric structure information and corresponding effective diffusivities are directionally applied to a CNN for training and *** effective diffusivities of media with porosities ranging from 0.48 to 0.58 are employed as training datasets,and the effective diffusivities of media with a broader porosity range of 0.39 to 0.79 are predicted by *** CNN model can achieve a fast and accurate prediction of the effective *** relative error between the CNN and LBM is 0.026%–8.95%with porosities ranging from 0.39 to *** a typical case with a porosity of 0.5,the computation time required by the CNN model is only 3×10^(−4) h,while the computation time for the same case is 16.96 h using the *** findings indicate that the proposed deep learning method has a powerful learning ability;it is time-saving,provides accurate predic-tions,and can serve as a promising and powerful tool to predict the transport coefficients of complex porous media.

关键词： Porous media effective diffusivity Machine learning Convolutional neural network Lattice Boltzmann method

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Electromagnetohydrodynamic flows and mass transport in curved rectangular microchannels

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Applied Mathematics and Mechanics(English Edition) 2020年第9期41卷 1431-1446页

作者： Yongbo LIU Yongjun JIAN School of Mathematical Science Inner Mongolia UniversityHohhot 010021China

Curved microchannels are often encountered in lab-on-chip systems because the effective axial channel lengths of such channels are often larger than those of straight microchannels for a given per unit chip *** this paper,the effective diffusivity of a neutral solute in an oscillating electromagnetohydrodynamic(EMHD)flow through a curved rectangular microchannel is investigated *** flow is assumed as a creeping flow due to the extremely low Reynolds number in such microflow *** the theoretical analysis,we find that the effective diffusivity primarily depends on five dimensionless parameters,i.e.,the curvature ratio of the curved channel,the Schmidt number,the tidal displacement,the angular Reynolds number,and the dimensionless electric field strength *** on the obtained results,we can precisely control the mass transfer characteristics of the EMHD flow in a curved rectangular microchannel by appropriately altering the corresponding parameter values.

关键词： electromagnetohydrodynamic(EMHD)flow curved rectangular microchannel mass transfer characteristic effective diffusivity

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Recent advances in the ultrasound-assisted osmotic dehydration of agricultural products:A review

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Food Bioscience 2023年第1期51卷 45-53页

作者： Fakhreddin Salehi Department of Food Science and Technology Bu-Ali Sina UniversityHamedanIran

Osmotic dehydration(OD)is an easy method for removing water from fruits and vegetables *** combination of the sonication process(using ultrasonic sound waves)with the OD technique commonly named ultrasound-assisted OD(UAOD),can further improve the dehydration process efficiencies by increasing the mass transfer rates and enhancing final product *** manuscript reviews the application and impact of different UAOD conditions on the dehydration performance,and quality of dehydrated fruits and vegetables *** physicochemical characteristics,mass transfer rates(moisture loss and soluble solids gain),and effective diffusivity coefficients during the UAOD treatment of fruit and vegetable pieces are considerably affected by pre-treatment techniques,sonication intensity(power or amplitude or frequency),direct or indirect sonication conditions,treatment temperature and time,osmotic solution concentration,osmotic agent(sucrose,glucose,fructose,sorbitol,trehalose,or NaCl),and structure and thickness of *** UAOD treatment increased the amount of weight reduction,moisture loss,and soluble solids ***,this method is easy to carry out,and it can be used to shorten the processing time before various drying techniques,resulting in even higher total efficiencies of the different processes,and it has a positive influence on minimizing energy *** dried fruits and vegetables slices pre-treated with the UAOD have the higher antioxidant activity,higher total carotenoid content and anthocyanin compounds,higher porosity and rehydration capacity,lower shrinkage and their colour are *** hyperspectral imaging technique can be useful for estimating mass transfer rates,water content,soluble solids content,shrinkage,total carotenoids,and colour indexes of fruits and vegetables products during the UAOD process.

关键词： effective diffusivity Hyperspectral imaging Mass transfer rate Rehydration Sonication intensity UAOD process

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Mathematical modeling of drying characteristics of Jew’s mallow(Corchorus olitorius)leaves

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Information Processing in Agriculture 2019年第1期6卷 109-115页

作者： Adewale Olusegun Omolola Patrick Francis Kapila Henry Mbitha Silungwe Department of Agricultural&Rural Engineering School of AgricultureUniversity of VendaPrivate Bag X5050Thohoyandou 0950South Africa Department of Food Science&Technology School of AgricultureUniversity of VendaPrivate Bag X5050Thohoyandou 0950South Africa

Drying behaviour of Jew’s mallow leaves using an oven dryer was *** influence of drying temperatures(50,60 and 70C)on moisture content of the leaves at stable air velocity was *** drying models,including,simple exponential,Page,Two-term exponential,Logarithmic,and Wang and Singh were fitted to drying ***-term exponential model adequately express the drying behaviour of Jew’s mallow *** moisture diffusivity of Jew’s mallow leaves ranged from 8.18×10^-8 to 1.13×10^-7m^2/*** of the computed effective diffusivity on oven temperature was *** energy required for oven drying of Jew’s mallow leaves was found to be 14.84 kJ/*** L^*,a^*,b^*,DE,a^*/b^*colour characteristics of the dried leaves range from 31.8 to 32.87,-3.73 to-4.37,13.6 to 16.47,69.00 to 69.73,and-0.26 to-0.34 *** drying conditions of 50℃150 min and 70℃90min resulted to dried leaves with desirable colour characteristics.

关键词： Jew’s mallow Oven drying Mathematical modeling Colour effective diffusivity Activation energy

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Analyzing drying characteristics and modeling of thin layers of peppermint leaves under hot-air and infrared treatments

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Information Processing in Agriculture 2017年第2期4卷 128-139页

作者： Seyed-Hassan Miraei Ashtiani Alireza Salarikia Mahmood Reza Golzarian Department of Biosystems Engineering Faculty of AgricultureFerdowsi University of MashhadMashhadIran

The drying kinetics of peppermint leaves was studied to determine the best drying method for *** drying methods include hot-air and infrared techniques,were *** different temperatures(30,40,50℃)and air velocities(0.5,1,1.5 m/s)were selected for the hot-air drying *** levels of infrared intensity(1500,3000,4500 W/m^2),emitter-sample distance(10,15,20 cm)and air speed(0.5,1,1.5 m/s)were used for the infrared drying *** to the results,drying had a falling rate over *** kinetics of peppermint leaves was explained and compared using three mathematical *** determine coefficients of these models,non-linear regression analysis was *** models were evaluated in terms of reduced chi-square(χ^2),root mean square error(RMSE)and coefficient of determination(R^2)values of experimental and predicted moisture *** analyses indicated that the model with the best fitness in explaining the drying behavior of peppermint samples was the Logarithmic model for hot-air drying and Midilli model for infrared *** transfer in peppermint leaves was also described using Fick’s diffusion *** lowest effective moisture diffusivity(1.096×10^-11m^2/s)occurred during hot-air drying at 30℃ using 0.5 m/s,whereas its highest value(5.928×10^-11m^2/s)belonged to infrared drying using 4500 W/m^2 infrared intensity,0.5 m/s airflow velocity and 10 cm emitter-sample *** activation energy for infrared and hot-air drying were ranged from 0.206 to 0.439 W/g,and from 21.476 to 27.784 kJ/mol,respectively.

关键词： Drying kinetics effective diffusivity Energy activation Moisture ratio Moisture removal Semi-theoretical model

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Evaluation of the Influence of Extracellular Polymeric Substances on the Mass Transport of Substrate within Multispecies Biofilms

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Chinese Journal of Chemical Engineering 2004年第4期12卷 590-594页

作者：曹宏斌李鑫钢姜斌孙津生张懿 Institute of Process Engineering Chinese Academy of Sciences P. O. Box 353 Beijing 100080 China Chemical Engineering Research Center School of Chemical Engineering & Technology Tianjin University Tianjin 300072 China Chemical Engineering Research Center School of Chemical Engineering & Technology Tianjin University Tianjin 300072 China Institute of Process Engineering Chinese Academy of Sciences P. O. Box 353 Beijing 100080 China model for evaluating the effect of porosity and volume fraction of extracellular polymeric substances (EPS) within multispecies biofilms on the effective diffusivity is developed and experimentally validated based on the extraction of EPS from intact biofilms. The amount of EPS in biofilms significantly affects the effective diffusivity. For biofilms with porosity of 77%-95% in the top layers and 54%-58% in the bottom layers the value of De/Dw decreases from 0.52-0.83 in the top layers to 0.23-0.31 in the bottom layers. Generally the effective diffusivity in the heterotrophic/autotrophic biofilms is slightly lower than that in the heterotrophic biofilms due to the lower porosity in the heterotrophic/autotrophic biofilms.

A model, for evaluating the effect of porosity and volume fraction of extracellular polymeric substances (EPS) within multispecies biofilms on the effective diffusivity, is developed and experimentally validated, based on the extraction of EPS from intact biofilms. The amount of EPS in biofilms significantly affects the effective diffusivity. For biofilms with porosity of 77%—95% in the top layers and 54%—58% in the bottom layers, the value of De/Dw decreases from 0.52—0.83 in the top layers to 0.23—0.31 in the bottom layers. Generally, the effective diffusivity in the heterotrophic/autotrophic biofilms is slightly lower than that in the heterotrophic biofilms, due to the lower porosity in the heterotrophic/autotrophic biofilms.

关键词： bionlm extracellular polymeric substance effective diffusivity

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Characterization of Okra Convective Drying, Influence of Maturity

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Food and Nutrition Sciences 2014年第6期5卷 590-597页

作者： Ouoba Kondia Honoré Zougmoré François Sam Raguilignaba Toguyeni Aboubacar Desmorieux Hélène Laboratoire des Matériaux et Environnement(LAME) Unitéde Formation et de Recherche en Sciences Exactes et Appliquée(UFR/SEA)Universitéde OuagadougouOuagadougouBurkina Faso Laboratoire d’Automatisme et de Génie des Procédés(LAGEP) UCBL1-CNRS UMR 5007-CPE LyonBat.308G43 bd du 11 Nov.1918 VilleurbanneUniversité Claude Bernard Lyon 169622LyonFrance Institut de Développement Rural Université Polytechnique de BoboBobo-DioulassoBurkina Faso

An experimental study for the drying kinetics of whole okra was carried out. In the study, different ages were considered by taking into account influence of okra maturity on its convective drying. The 2D moisture evolution inside the product and its maturity were evaluated by fitting experimental data versus drying time. The water effective diffusion coefficient of okra at different maturity states was gotten by the experimental model using Fick’s second law. A parametric study was carried out in the ranging of okra age from 2 to 7 days at 60℃, both fruits gathered on the same plant to avoid divergences due to okra varieties that can induce difference on physical structure and the chemical composition. It was found from the experimental results that okra maturity has important influence on its behaviour during convective drying. At 2, 3, 4, 5 and 7 days old, the drying effective time was respectively 780, 1000, 1155, 850 and 750 min. effective diffusivity of the okra in this order of age was 1.38 × 10-10, 6.09 × 10-11, 1.23 × 10-11, 8.98 × 10-11, and 1.05 × 10-10 m2/s in the present study, while the average initial moisture content was respectively 12.27, 9.00, 7.53, 5.97 and 4.92 Kgw/Kgdm.

关键词： Convective Drying Okra effective diffusivity Maturity Initial Moisture Content

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Investigating mass transport in Li-ion battery electrodes using SECM and SICM

DeCarbon

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DeCarbon 2024年第4期6卷 39-45页

作者： Anjana Raj Raju Andrew Danis Steen B.Schougaard Departement de Chimie and NanoQAM Universite du Quebeca MontrealMontrealQuebecH3C 3P8Canada

Lithium-ion batteries(LIBs)are indispensable as global energy production transitions to sustainable ***,the use of LIBs in renewable energy storage applications is challenging due to their limited power *** comprehend the origin of this limitation,it is crucial to investigate the effect of electrode architecture on the Liþion transport within their pores(solution-phase).In this work,the solution phase transport in various porous Li4Ti5O12(LTO)films was investigated using scanning ion conductance microscopy(SICM)and scanning electrochemical microscopy(SECM).When the porosity of LTO film increases,SECM and SICM approach curves show an increase in *** is attributed to the ion transport through the film *** 2D topographical mapping using both techniques shows their ability to detect the LTO film's *** importantly,this work gives insight into the complementary nature of the two scanning probe techniques as demonstrated by the comparable MacMullin numbers.

关键词： SECM SICM Mass transport MacMullin number effective conductivity effective diffusivity

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