Documents disponibles écrits par cet auteur

Biosorption of Cr(VI) from aqueous solutions by nonliving green algae Cladophora albida / Liping Deng in Minerals engineering, Vol. 22 N° 4 (Mars 2009) 

Public ISBD [article]  in Minerals engineering > Vol. 22 N° 4 (Mars 2009) . - pp. 372–377 Titre : Biosorption of Cr(VI) from aqueous solutions by nonliving green algae Cladophora albida Type de document : texte imprimé Auteurs : Liping Deng, Auteur ; Yang Zhang, Auteur ; Qin, Jie, Auteur Année de publication : 2009 Article en page(s) : pp. 372–377 Note générale : Génie Minier Langues : Anglais (eng) Mots-clés : Biosorption  Chromium(VI)  Cladophora  albida  Mechanism  Wastewater Résumé : Biosorption of Cr(VI) from aqueous solutions by nonliving green algae Cladophora albida was investigated in batch experiments. The influence of pH, algal dosage, initial Cr(VI) concentration, temperature and co-existing anions on removal efficiencies of C. albida was studied. Cr(VI) removal process was influenced significantly by the variation of pH, and the optimum pH was chosen at a range of 1.0–3.0. The optimum algal dosage 2 g/L was used in the experiment. The removal rate of Cr(VI) was relatively rapid in the first 60 min, but then the rate decreased gradually. Removal mechanism was studied by analyzing Cr(VI) and total Cr in the solution. Biosorption and bioreduction were involved in the Cr(VI) removal. Biosorption of Cr(VI) was the first step, followed by Cr(VI) bioreduction and Cr(III) biosorption on the algal biomass. Actual industrial wastewater was used to evaluate the practicality of the biomass C. albida. From a practical viewpoint, the abundant and economic biomass C. albida could be used for removal of Cr(VI) from wastewater by the reduction of toxic Cr(VI) to less toxic Cr(III). DEWEY : 622 ISSN : 0892-6875 En ligne : http://www.sciencedirect.com/science/article/pii/S0892687508002525 [article] Biosorption of Cr(VI) from aqueous solutions by nonliving green algae Cladophora albida [texte imprimé] / Liping Deng, Auteur ; Yang Zhang, Auteur ; Qin, Jie, Auteur . - 2009 . - pp. 372–377. Génie Minier Langues : Anglais (eng) in Minerals engineering > Vol. 22 N° 4 (Mars 2009) . - pp. 372–377 Mots-clés : Biosorption  Chromium(VI)  Cladophora  albida  Mechanism  Wastewater Résumé : Biosorption of Cr(VI) from aqueous solutions by nonliving green algae Cladophora albida was investigated in batch experiments. The influence of pH, algal dosage, initial Cr(VI) concentration, temperature and co-existing anions on removal efficiencies of C. albida was studied. Cr(VI) removal process was influenced significantly by the variation of pH, and the optimum pH was chosen at a range of 1.0–3.0. The optimum algal dosage 2 g/L was used in the experiment. The removal rate of Cr(VI) was relatively rapid in the first 60 min, but then the rate decreased gradually. Removal mechanism was studied by analyzing Cr(VI) and total Cr in the solution. Biosorption and bioreduction were involved in the Cr(VI) removal. Biosorption of Cr(VI) was the first step, followed by Cr(VI) bioreduction and Cr(III) biosorption on the algal biomass. Actual industrial wastewater was used to evaluate the practicality of the biomass C. albida. From a practical viewpoint, the abundant and economic biomass C. albida could be used for removal of Cr(VI) from wastewater by the reduction of toxic Cr(VI) to less toxic Cr(III). DEWEY : 622 ISSN : 0892-6875 En ligne : http://www.sciencedirect.com/science/article/pii/S0892687508002525

Local model - based predictive control for spatially - distributed systems based on linear programming / Mengling Wang in Industrial & engineering chemistry research, Vol. 51 N° 29 (Juillet 2012) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 51 N° 29 (Juillet 2012) . - pp. 9783-9789 Titre : Local model - based predictive control for spatially - distributed systems based on linear programming Type de document : texte imprimé Auteurs : Mengling Wang, Auteur ; Yang Zhang, Auteur ; Hongbo Shi, Auteur Année de publication : 2012 Article en page(s) : pp. 9783-9789 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Mathematical  programming  Linear  programming  Predictive  controlModeling Résumé : A local model-based predictive control strategy based on linear programming is proposed for partial differential equation descriptions unknown spatially distributed systems (SDSs). First, the interval type-2 T-S fuzzy based local modeling approach is developed to estimate the dynamics of the SDS based on the input—output data. On the basis of the local IT2 T-S fuzzy model, the local model-based predictive controller is designed to obtain local controlled outputs through minimizing the local optimization objective. Finally, the global controlled outputs are obtained by a linear programming method, where the deviations of the spatial temporal outputs from their spatial set points over the prediction horizon are considered as the optimal objective. The accuracy and efficiency of the proposed methodologies are tested in the simulation case. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=26184957 [article] Local model - based predictive control for spatially - distributed systems based on linear programming [texte imprimé] / Mengling Wang, Auteur ; Yang Zhang, Auteur ; Hongbo Shi, Auteur . - 2012 . - pp. 9783-9789. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 51 N° 29 (Juillet 2012) . - pp. 9783-9789 Mots-clés : Mathematical  programming  Linear  programming  Predictive  controlModeling Résumé : A local model-based predictive control strategy based on linear programming is proposed for partial differential equation descriptions unknown spatially distributed systems (SDSs). First, the interval type-2 T-S fuzzy based local modeling approach is developed to estimate the dynamics of the SDS based on the input—output data. On the basis of the local IT2 T-S fuzzy model, the local model-based predictive controller is designed to obtain local controlled outputs through minimizing the local optimization objective. Finally, the global controlled outputs are obtained by a linear programming method, where the deviations of the spatial temporal outputs from their spatial set points over the prediction horizon are considered as the optimal objective. The accuracy and efficiency of the proposed methodologies are tested in the simulation case. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=26184957

PCA combined model-based design of experiments (DOE) criteria for differential and algebraic system parameter estimation / Yang Zhang in Industrial & engineering chemistry research, Vol. 47 N°20 (Octobre 2008) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 47 N°20 (Octobre 2008) . - P. 7772-7783 Titre : PCA combined model-based design of experiments (DOE) criteria for differential and algebraic system parameter estimation Type de document : texte imprimé Auteurs : Yang Zhang, Auteur ; Thomas F. Edgar, Auteur Année de publication : 2008 Article en page(s) : P. 7772-7783 Note générale : Chemical engineering Langues : Anglais (eng) Mots-clés : Design  of  experiments  (DOE) Résumé : Design of experiments (DOE) for parameter estimation in dynamic systems is receiving more attention from process system engineers. In this paper, a principal component analysis (PCA)-based optimal criterion (P-optimal) for model-based DOE is proposed that combines PCA with information matrix analysis. The P-optimal criterion is a general form that encompasses most widely used optimal design criteria such as D-, E-, and SV-optimal, and it can automatically choose the optimal objective function (criterion) to use for a specific differential and algebraic (DAE) system. Two engineering examples are used to validate the algorithms and assumptions. The advantages of P-optimal DOE include ease of reducing the scale of the optimization process by choosing parameter subsets to increase estimation accuracy of specific parameters and avoid an ill-conditioned information matrix. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie071206c [article] PCA combined model-based design of experiments (DOE) criteria for differential and algebraic system parameter estimation [texte imprimé] / Yang Zhang, Auteur ; Thomas F. Edgar, Auteur . - 2008 . - P. 7772-7783. Chemical engineering Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 47 N°20 (Octobre 2008) . - P. 7772-7783 Mots-clés : Design  of  experiments  (DOE) Résumé : Design of experiments (DOE) for parameter estimation in dynamic systems is receiving more attention from process system engineers. In this paper, a principal component analysis (PCA)-based optimal criterion (P-optimal) for model-based DOE is proposed that combines PCA with information matrix analysis. The P-optimal criterion is a general form that encompasses most widely used optimal design criteria such as D-, E-, and SV-optimal, and it can automatically choose the optimal objective function (criterion) to use for a specific differential and algebraic (DAE) system. Two engineering examples are used to validate the algorithms and assumptions. The advantages of P-optimal DOE include ease of reducing the scale of the optimization process by choosing parameter subsets to increase estimation accuracy of specific parameters and avoid an ill-conditioned information matrix. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie071206c