Documents disponibles écrits par cet auteur

Optimizing the initial conditions to improve the dynamic flexibility of batch processes / Hua Zhou in Industrial & engineering chemistry research, Vol. 48 N° 13 (Juillet 2009) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 48 N° 13 (Juillet 2009) . - pp. 6321–6326 Titre : Optimizing the initial conditions to improve the dynamic flexibility of batch processes Type de document : texte imprimé Auteurs : Hua Zhou, Auteur ; Xiuxi Li, Auteur ; Yu Qian, Auteur Année de publication : 2009 Article en page(s) : pp. 6321–6326 Note générale : Chemical engineering Langues : Anglais (eng) Mots-clés : Initial  operation  conditions  Batch  processes  Dynamic  flexibility  analysis Résumé : It is shown in this paper that by changing the initial operation condition of batch processes, the dynamic performance of the system can be varied largely. The initial operation conditions are often ignored in design of batch processes for flexibility against disturbances or parameter variations. When the initial conditions are not rigid, as in the case of a batch reactor where the initial reaction temperature is quite arbitrary, optimization can also be applied to determine the “best” initial condition to be used. Problems for dynamic flexibility analysis, including initial conditions and process operation, can be formulated as dynamic optimization problems. If the initial conditions are considered, the conditions can be transferred into control variables in the first step of optimization. The solution of the dynamic optimization is based on the Runge-Kutta integration algorithm and decomposition search algorithm. This method, as illustrated and tested with two highly nonlinear chemical engineering problems, enables the optimal solution to be determined. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie8006424 [article] Optimizing the initial conditions to improve the dynamic flexibility of batch processes [texte imprimé] / Hua Zhou, Auteur ; Xiuxi Li, Auteur ; Yu Qian, Auteur . - 2009 . - pp. 6321–6326. Chemical engineering Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 48 N° 13 (Juillet 2009) . - pp. 6321–6326 Mots-clés : Initial  operation  conditions  Batch  processes  Dynamic  flexibility  analysis Résumé : It is shown in this paper that by changing the initial operation condition of batch processes, the dynamic performance of the system can be varied largely. The initial operation conditions are often ignored in design of batch processes for flexibility against disturbances or parameter variations. When the initial conditions are not rigid, as in the case of a batch reactor where the initial reaction temperature is quite arbitrary, optimization can also be applied to determine the “best” initial condition to be used. Problems for dynamic flexibility analysis, including initial conditions and process operation, can be formulated as dynamic optimization problems. If the initial conditions are considered, the conditions can be transferred into control variables in the first step of optimization. The solution of the dynamic optimization is based on the Runge-Kutta integration algorithm and decomposition search algorithm. This method, as illustrated and tested with two highly nonlinear chemical engineering problems, enables the optimal solution to be determined. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie8006424

Systematic multiscale method for studying the structure – performance relationship of drug - delivery systems / Xin Dong Guo in Industrial & engineering chemistry research, Vol. 51 N° 12 (Mars 2012) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 51 N° 12 (Mars 2012) . - pp. 4719–4730 Titre : Systematic multiscale method for studying the structure – performance relationship of drug - delivery systems Type de document : texte imprimé Auteurs : Xin Dong Guo, Auteur ; Li Juan Zhang, Auteur ; Yu Qian, Auteur Année de publication : 2012 Article en page(s) : pp. 4719–4730 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Atomic  simulation  methods  Mesoscale  simulation Résumé : A systematic multiscale method is presented for studying the structure–performance relationship of drug-delivery systems (DDSs). The objective is to provide direction and guidelines toward the design and development of novel DDSs. Atomic simulation methods are used to evaluate the interactions between each pair of components in a DDS, from which the compatibility between drug and carriers can be well-predicted. Mesoscale simulation is applied to investigate the mesostructures of DDSs, from which the performances of products can be predicted. Finally, the drug-loaded nanoparticles can be prepared and evaluated through experiments involving loading efficiency, drug-release behaviors, and so on. The hydrophobic drugs doxorubicin and paclitaxel were considered as examples. The multiscale approach was used to investigate the structure–performance relationship of DDSs for these two drugs. All of the experimental results agreed well with the simulation results, indicating that the systematic multiscale method can provide a powerful tool for designing and developing DDSs. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie2014668 [article] Systematic multiscale method for studying the structure – performance relationship of drug - delivery systems [texte imprimé] / Xin Dong Guo, Auteur ; Li Juan Zhang, Auteur ; Yu Qian, Auteur . - 2012 . - pp. 4719–4730. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 51 N° 12 (Mars 2012) . - pp. 4719–4730 Mots-clés : Atomic  simulation  methods  Mesoscale  simulation Résumé : A systematic multiscale method is presented for studying the structure–performance relationship of drug-delivery systems (DDSs). The objective is to provide direction and guidelines toward the design and development of novel DDSs. Atomic simulation methods are used to evaluate the interactions between each pair of components in a DDS, from which the compatibility between drug and carriers can be well-predicted. Mesoscale simulation is applied to investigate the mesostructures of DDSs, from which the performances of products can be predicted. Finally, the drug-loaded nanoparticles can be prepared and evaluated through experiments involving loading efficiency, drug-release behaviors, and so on. The hydrophobic drugs doxorubicin and paclitaxel were considered as examples. The multiscale approach was used to investigate the structure–performance relationship of DDSs for these two drugs. All of the experimental results agreed well with the simulation results, indicating that the systematic multiscale method can provide a powerful tool for designing and developing DDSs. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie2014668