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Effect of electromagnetic field on three - phase flow behavior / Ze Sun in Industrial & engineering chemistry research, Vol. 49 N° 21 (Novembre 2010) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 49 N° 21 (Novembre 2010) . - pp. 10798-10803 Titre : Effect of electromagnetic field on three - phase flow behavior Type de document : texte imprimé Auteurs : Ze Sun, Auteur ; Ping Li, Auteur ; Guimin Lu, Auteur Année de publication : 2011 Article en page(s) : pp. 10798-10803 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Three  phase  flow Résumé : The multiphase transport phenomena frequently take place in metallurgical processes, for example, in the electrolysis process of magnesium, where there exists three-phase flow including liquid magnesium, molten electrolyte, and chlorine gas under the electromagnetic field. In this paper, the three-phase flow behaviors under the electromagnetic field in the advanced diaphragmless electrolytic cell were investigated by CFD simulation. The governing equations of the internal flow field in the electrolytic cell were established, where the standard k-e turbulence model and the VOF multiphase flow model were adopted for the comprehensive description of the flow characteristics of multiphase flow in the electrolytic cell, and the Lorentz force was added to the momentum equation of fluids as the momentum source term to combine the effect of electromagnetic field with the flow field. The order coupling method was adopted for the calculation of the coupled field. The numerical simulation on the three-phase flow field considering the effect of electromagnetic field was done using FLUENT6.3 software, the numerical simulations on the electric field and the magnetic field were carried out using Ansys 11.0 software, respectively, and the connection between the finite element software ANSYS and the control volume software Fluent was built using the user-defined function (UDF). According to the analysis on the distributions of the electromagnetic field and the flow field, the optimum flow circulation in the advanced diaphragmless electrolytic cell was obtained, which is very helpful for the design in the electrolysis process of molten magnesium salt. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=23447972 [article] Effect of electromagnetic field on three - phase flow behavior [texte imprimé] / Ze Sun, Auteur ; Ping Li, Auteur ; Guimin Lu, Auteur . - 2011 . - pp. 10798-10803. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 49 N° 21 (Novembre 2010) . - pp. 10798-10803 Mots-clés : Three  phase  flow Résumé : The multiphase transport phenomena frequently take place in metallurgical processes, for example, in the electrolysis process of magnesium, where there exists three-phase flow including liquid magnesium, molten electrolyte, and chlorine gas under the electromagnetic field. In this paper, the three-phase flow behaviors under the electromagnetic field in the advanced diaphragmless electrolytic cell were investigated by CFD simulation. The governing equations of the internal flow field in the electrolytic cell were established, where the standard k-e turbulence model and the VOF multiphase flow model were adopted for the comprehensive description of the flow characteristics of multiphase flow in the electrolytic cell, and the Lorentz force was added to the momentum equation of fluids as the momentum source term to combine the effect of electromagnetic field with the flow field. The order coupling method was adopted for the calculation of the coupled field. The numerical simulation on the three-phase flow field considering the effect of electromagnetic field was done using FLUENT6.3 software, the numerical simulations on the electric field and the magnetic field were carried out using Ansys 11.0 software, respectively, and the connection between the finite element software ANSYS and the control volume software Fluent was built using the user-defined function (UDF). According to the analysis on the distributions of the electromagnetic field and the flow field, the optimum flow circulation in the advanced diaphragmless electrolytic cell was obtained, which is very helpful for the design in the electrolysis process of molten magnesium salt. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=23447972

Just - in - time kernel learning with adaptive parameter selection for soft sensor modeling of batch processes / Yi Liu in Industrial & engineering chemistry research, Vol. 51 N° 11 (Mars 2012) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 51 N° 11 (Mars 2012) . - pp. 4313–4327 Titre : Just - in - time kernel learning with adaptive parameter selection for soft sensor modeling of batch processes Type de document : texte imprimé Auteurs : Yi Liu, Auteur ; Zengliang Gao, Auteur ; Ping Li, Auteur Année de publication : 2012 Article en page(s) : pp. 4313–4327 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Batch  processes Résumé : An efficient nonlinear just-in-time learning (JITL) soft sensor method for online modeling of batch processes with uneven operating durations is proposed. A recursive least-squares support vector regression (RLSSVR) approach is combined with the JITL manner to model the nonlinearity of batch processes. The similarity between the query sample and the most relevant samples, including the weight of similarity and the size of the relevant set, can be chosen using a presented cumulative similarity factor. Then, the kernel parameters of the developed JITL-RLSSVR model structure can be determined adaptively using an efficient cross-validation strategy with low computational load. The soft sensor implement algorithm for batch processes is also developed. Both the batch-to-batch similarity and variation characteristics are taken into consideration to make the modeling procedure more practical. The superiority of the proposed soft sensor approach is demonstrated by predicting the concentrations of the active biomass and recombinant protein in the streptokinase fed-batch fermentation process, compared with other existing JITL-based and global soft sensors. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie201650u [article] Just - in - time kernel learning with adaptive parameter selection for soft sensor modeling of batch processes [texte imprimé] / Yi Liu, Auteur ; Zengliang Gao, Auteur ; Ping Li, Auteur . - 2012 . - pp. 4313–4327. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 51 N° 11 (Mars 2012) . - pp. 4313–4327 Mots-clés : Batch  processes Résumé : An efficient nonlinear just-in-time learning (JITL) soft sensor method for online modeling of batch processes with uneven operating durations is proposed. A recursive least-squares support vector regression (RLSSVR) approach is combined with the JITL manner to model the nonlinearity of batch processes. The similarity between the query sample and the most relevant samples, including the weight of similarity and the size of the relevant set, can be chosen using a presented cumulative similarity factor. Then, the kernel parameters of the developed JITL-RLSSVR model structure can be determined adaptively using an efficient cross-validation strategy with low computational load. The soft sensor implement algorithm for batch processes is also developed. Both the batch-to-batch similarity and variation characteristics are taken into consideration to make the modeling procedure more practical. The superiority of the proposed soft sensor approach is demonstrated by predicting the concentrations of the active biomass and recombinant protein in the streptokinase fed-batch fermentation process, compared with other existing JITL-based and global soft sensors. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie201650u

Kinetic study of H2 oxidation in the preferential oxidation of CO on a nanosized Au / CeO2 catalyst / Jing Xu in Industrial & engineering chemistry research, Vol. 49 N° 9 (Mai 2010) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 49 N° 9 (Mai 2010) . - pp. 4149–4155 Titre : Kinetic study of H2 oxidation in the preferential oxidation of CO on a nanosized Au / CeO2 catalyst Type de document : texte imprimé Auteurs : Jing Xu, Auteur ; Ping Li, Auteur ; Xingfu Song, Auteur Année de publication : 2010 Article en page(s) : pp. 4149–4155 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Kinetic  Oxidation  Catalyst Résumé : Kinetic study of H2 oxidation in the preferential oxidation (PROX) of CO was implemented over a nanosize Au/CeO2 catalyst in a temperature range 313−353 K. The Langmuir−Hinshelwood mechanism was proposed to be mainly responsible for H2 oxidation, and CO oxidation can be accelerated by coadsorbed H at low temperatures. On the other hand, the water in the system has proved to suppress both CO and H2 oxidation by increasing the energy bars. In situ diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) of CO adsorption on the Au surface indicates that linear CO−Au bond can be weakened in the presence of H2; meanwhile, water can be a poison taking effects via the bonding of water and the lattice oxygen at the interface of Au/CeO2. The irreversible loss of activity during reaction may be caused by the reconstruction of Au particles, at least in part. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie100325y [article] Kinetic study of H2 oxidation in the preferential oxidation of CO on a nanosized Au / CeO2 catalyst [texte imprimé] / Jing Xu, Auteur ; Ping Li, Auteur ; Xingfu Song, Auteur . - 2010 . - pp. 4149–4155. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 49 N° 9 (Mai 2010) . - pp. 4149–4155 Mots-clés : Kinetic  Oxidation  Catalyst Résumé : Kinetic study of H2 oxidation in the preferential oxidation (PROX) of CO was implemented over a nanosize Au/CeO2 catalyst in a temperature range 313−353 K. The Langmuir−Hinshelwood mechanism was proposed to be mainly responsible for H2 oxidation, and CO oxidation can be accelerated by coadsorbed H at low temperatures. On the other hand, the water in the system has proved to suppress both CO and H2 oxidation by increasing the energy bars. In situ diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) of CO adsorption on the Au surface indicates that linear CO−Au bond can be weakened in the presence of H2; meanwhile, water can be a poison taking effects via the bonding of water and the lattice oxygen at the interface of Au/CeO2. The irreversible loss of activity during reaction may be caused by the reconstruction of Au particles, at least in part. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie100325y

Pressure drop and residence time distribution in carbon-nanofiber/gaphite-felt composite for single liquid-phase flow / Yaojie Cao in Industrial & engineering chemistry research, Vol. 50 N° 15 (Août 2011) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 50 N° 15 (Août 2011) . - pp. 9431-9436 Titre : Pressure drop and residence time distribution in carbon-nanofiber/gaphite-felt composite for single liquid-phase flow Type de document : texte imprimé Auteurs : Yaojie Cao, Auteur ; Ping Li, Auteur ; Jinghong Zhou, Auteur Année de publication : 2011 Article en page(s) : pp. 9431-9436 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Liquid  phase  Composite  material  Residence  time  distribution  Hydrodynamics  Pressure  drop Résumé : Fibrous carbon nanofiber composite is prepared by growing carbon nanofibers on graphite felt Pressure drop experiments are carried out with ethanol solution to study the influence of the liquid surface tension on the permeability of the composite, and residence time distribution experiments with cyclohexane and water respectively are performed to study the effect of the fluid wettability on the flow behavior in the composite. Piston dispersion exchange (PDE) model is employed to determine the dynamic liquid holdup, the axial dispersion, and the mass transfer between the dynamic and static liquids. When the fluid is less oleophilic, less space in the CNF layer will be open for the flow, and the fluid will be more likely to slip over the carbon surface. Compared with the flow in spherical particle packing and in monolith, the mass transfer in the composite is high owing to its fibrous structure that splits the fluid into streamlets. The rate of mass transfer in water is lower than that in cyclohexane because water is only trapped in some of the large pores in the CNF layer while cyclohexane suffuses the whole layer. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24395888 [article] Pressure drop and residence time distribution in carbon-nanofiber/gaphite-felt composite for single liquid-phase flow [texte imprimé] / Yaojie Cao, Auteur ; Ping Li, Auteur ; Jinghong Zhou, Auteur . - 2011 . - pp. 9431-9436. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 50 N° 15 (Août 2011) . - pp. 9431-9436 Mots-clés : Liquid  phase  Composite  material  Residence  time  distribution  Hydrodynamics  Pressure  drop Résumé : Fibrous carbon nanofiber composite is prepared by growing carbon nanofibers on graphite felt Pressure drop experiments are carried out with ethanol solution to study the influence of the liquid surface tension on the permeability of the composite, and residence time distribution experiments with cyclohexane and water respectively are performed to study the effect of the fluid wettability on the flow behavior in the composite. Piston dispersion exchange (PDE) model is employed to determine the dynamic liquid holdup, the axial dispersion, and the mass transfer between the dynamic and static liquids. When the fluid is less oleophilic, less space in the CNF layer will be open for the flow, and the fluid will be more likely to slip over the carbon surface. Compared with the flow in spherical particle packing and in monolith, the mass transfer in the composite is high owing to its fibrous structure that splits the fluid into streamlets. The rate of mass transfer in water is lower than that in cyclohexane because water is only trapped in some of the large pores in the CNF layer while cyclohexane suffuses the whole layer. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24395888

Pressure drop of structured packing of carbon nanofiber composite / Yaojie Cao in Industrial & engineering chemistry research, Vol. 49 N° 8 (Avril 2010) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 49 N° 8 (Avril 2010) . - pp. 3944–3951 Titre : Pressure drop of structured packing of carbon nanofiber composite Type de document : texte imprimé Auteurs : Yaojie Cao, Auteur ; Ping Li, Auteur ; Jinghong Zhou, Auteur Année de publication : 2010 Article en page(s) : pp. 3944–3951 Note générale : Industrial Chemistry Langues : Anglais (eng) Mots-clés : Carbon  Nanofiber  Composite  Pressure  Structured  Packing Résumé : Carbon nanofibers (CNFs) are grown on graphite fiber felt with a desired shape and dimension to form a structured carbon nanofiber composite. This CNF composite has a bimodal porous structure, containing macropores due to the intertexture of graphite fibers and mesopores due to the intertwist of CNFs. The pressure drop of the composite is derived from the convective flow of fluid through the macropores and is independent of the mesopores. Both viscous and turbulent resistance increases with the CNF’s loading. After being wetted with cyclohexane and dried in the air, the CNF’s layer shrinks and becomes smoother, and the composite has a much smaller viscous and turbulent resistance for the fluid. An extended Ergun equation is developed and is shown to be able to predict very well the pressure drop from the structural parameters that are related to the CNF’s loading, i.e., macropore porosity and expanded diameter of the graphite fibers. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie9020446 [article] Pressure drop of structured packing of carbon nanofiber composite [texte imprimé] / Yaojie Cao, Auteur ; Ping Li, Auteur ; Jinghong Zhou, Auteur . - 2010 . - pp. 3944–3951. Industrial Chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 49 N° 8 (Avril 2010) . - pp. 3944–3951 Mots-clés : Carbon  Nanofiber  Composite  Pressure  Structured  Packing Résumé : Carbon nanofibers (CNFs) are grown on graphite fiber felt with a desired shape and dimension to form a structured carbon nanofiber composite. This CNF composite has a bimodal porous structure, containing macropores due to the intertexture of graphite fibers and mesopores due to the intertwist of CNFs. The pressure drop of the composite is derived from the convective flow of fluid through the macropores and is independent of the mesopores. Both viscous and turbulent resistance increases with the CNF’s loading. After being wetted with cyclohexane and dried in the air, the CNF’s layer shrinks and becomes smoother, and the composite has a much smaller viscous and turbulent resistance for the fluid. An extended Ergun equation is developed and is shown to be able to predict very well the pressure drop from the structural parameters that are related to the CNF’s loading, i.e., macropore porosity and expanded diameter of the graphite fibers. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie9020446

Two - stage VPSA process for CO2 capture from flue gas using activated carbon beads / Chunzhi Shen in Industrial & engineering chemistry research, Vol. 51 N° 13 (Avril 2012) 

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