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Application of intelligent integrated optimization system for raw material proportioning in lead – zinc sintering blending process / Chun-Sheng Wang in Industrial & engineering chemistry research, Vol. 51 N° 18 (Mai 2012) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 51 N° 18 (Mai 2012) . - pp. 6404-6415 Titre : Application of intelligent integrated optimization system for raw material proportioning in lead – zinc sintering blending process Type de document : texte imprimé Auteurs : Chun-Sheng Wang, Auteur ; Min Wu, Auteur Année de publication : 2012 Article en page(s) : pp. 6404-6415 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Sintering  Proportioning  Raw  materials  Optimization Résumé : The blending process as the first working procedure in lead-zinc sintering processes (LZSP) is a key step to guarantee the quality of products in the lead-zinc sintering production. This paper presents an intelligent integrated optimization system (IIOS) with a hierarchical configuration for raw material proportioning in the lead-zinc sintering blending process (LZSBP). First, considering the relationships between the mixture ratio and the production indices, back-propagation neural network (BPNN) models are established to predict the agglomerate compositions. Then, a raw material proportioning optimization strategy (RMPOS) is proposed to determine an optimal mixture ratio and actualize the optimization of the blending process. The proportioning optimization is implemented through qualitative and quantitative synthetic optimization for the primary proportioning, the zone optimization for the secondary proportioning, and the intelligent coordination between them. The practical running results demonstrate the validity of the proposed optimization strategies. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=25867292 [article] Application of intelligent integrated optimization system for raw material proportioning in lead – zinc sintering blending process [texte imprimé] / Chun-Sheng Wang, Auteur ; Min Wu, Auteur . - 2012 . - pp. 6404-6415. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 51 N° 18 (Mai 2012) . - pp. 6404-6415 Mots-clés : Sintering  Proportioning  Raw  materials  Optimization Résumé : The blending process as the first working procedure in lead-zinc sintering processes (LZSP) is a key step to guarantee the quality of products in the lead-zinc sintering production. This paper presents an intelligent integrated optimization system (IIOS) with a hierarchical configuration for raw material proportioning in the lead-zinc sintering blending process (LZSBP). First, considering the relationships between the mixture ratio and the production indices, back-propagation neural network (BPNN) models are established to predict the agglomerate compositions. Then, a raw material proportioning optimization strategy (RMPOS) is proposed to determine an optimal mixture ratio and actualize the optimization of the blending process. The proportioning optimization is implemented through qualitative and quantitative synthetic optimization for the primary proportioning, the zone optimization for the secondary proportioning, and the intelligent coordination between them. The practical running results demonstrate the validity of the proposed optimization strategies. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=25867292