Use of data-driven model to optimize scale-up production of nanosized silver sarticles / Jyh-Shyong Chang in Industrial & engineering chemistry research, Vol. 47 n°21 (Novembre 2008)  

Public ISBD [article]  inIndustrial & engineering chemistry research > Vol. 47 n°21 (Novembre 2008) . - p. 8337–8346 Titre : Use of data-driven model to optimize scale-up production of nanosized silver sarticles Type de document : texte imprimé Auteurs : Jyh-Shyong Chang, Auteur ; Tzu-Chun Hu, Auteur ; Jiun-kai Tang, Auteur Année de publication : 2008 Article en page(s) : p. 8337–8346 Note générale : Chemical engineering Langues : Anglais (eng) Mots-clés : Synthesis of nanosized Chemical reduction Résumé : Optimization of the synthesis of nanosized silver particles by chemical reduction using formaldehyde in aqueous solution was carried out based on small-scale experimental data (with a 100 cc reaction mixture loaded in a 200 cc beaker and shaken in an isothermal shaker). Effects of the possible processing variables were achieved. In this study, the scale-up production (2 L or more of the reaction mixture) of nanosized silver particles is intended; however, for a scale-up system, the experiments generally require large and expensive resources. To obtain the optimal recipe and operating conditions using limited resources for a scale-up system, an algorithm for extending the identified model built from a small-scale system to a scale-up system was first developed through a numerical example. On the basis of the developed algorithm, 19 experiments were carried out in the scale-up system to achieve the objectives (minimum of the mean particle size of the silver colloid with or without the constraint of conversion of silver nitrate) of the synthesis of nanosized silver particles. With the modeling and optimization method proposed in this work, limited experiments were required, and most of the experiments can produce near on-specification products such that the off-specification products can be minimized En ligne : http://pubs.acs.org/doi/abs/10.1021/ie800345e [article] Use of data-driven model to optimize scale-up production of nanosized silver sarticles [texte imprimé] / Jyh-Shyong Chang, Auteur ; Tzu-Chun Hu, Auteur ; Jiun-kai Tang, Auteur . - 2008 . - p. 8337–8346. Chemical engineering Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 47 n°21 (Novembre 2008) . - p. 8337–8346 Mots-clés : Synthesis of nanosized Chemical reduction Résumé : Optimization of the synthesis of nanosized silver particles by chemical reduction using formaldehyde in aqueous solution was carried out based on small-scale experimental data (with a 100 cc reaction mixture loaded in a 200 cc beaker and shaken in an isothermal shaker). Effects of the possible processing variables were achieved. In this study, the scale-up production (2 L or more of the reaction mixture) of nanosized silver particles is intended; however, for a scale-up system, the experiments generally require large and expensive resources. To obtain the optimal recipe and operating conditions using limited resources for a scale-up system, an algorithm for extending the identified model built from a small-scale system to a scale-up system was first developed through a numerical example. On the basis of the developed algorithm, 19 experiments were carried out in the scale-up system to achieve the objectives (minimum of the mean particle size of the silver colloid with or without the constraint of conversion of silver nitrate) of the synthesis of nanosized silver particles. With the modeling and optimization method proposed in this work, limited experiments were required, and most of the experiments can produce near on-specification products such that the off-specification products can be minimized En ligne : http://pubs.acs.org/doi/abs/10.1021/ie800345e

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