Application of Intelligent Integrated Optimization System for Raw Material Proportioning in Lead鈥揨inc Sintering Blending Process

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• 作者：Chun-Sheng Wang ; Min Wu
• 刊名：Industrial & Engineering Chemistry Research
• 出版年：2012
• 出版时间：May 9, 2012
• 年：2012
• 卷：51
• 期：18
• 页码：6404-6415
• 全文大小：647K
• 年卷期：v.51,no.18(May 9, 2012)
• ISSN：1520-5045

文摘

The blending process as the first working procedure in lead鈥搝inc sintering processes (LZSP) is a key step to guarantee the quality of products in the lead鈥搝inc sintering production. This paper presents an intelligent integrated optimization system (IIOS) with a hierarchical configuration for raw material proportioning in the lead鈥搝inc 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.