Multi-objective optimization of reactive extrusion by genetic algorithms

被引：4
|
作者：
Zhang, Guofang [1 ]
Zhang, Min [2 ]
Jia, Yuxi [1 ]
机构：
[1] Shandong Univ, Sch Mat Sci & Engn, Jinan 250061, Peoples R China
[2] Shandong Univ, Sch Mech Engn, Jinan 250061, Peoples R China
来源：
JOURNAL OF APPLIED POLYMER SCIENCE | 2015年 / 132卷 / 16期
基金：
中国国家自然科学基金; 中国博士后科学基金;
关键词：
extrusion; radical polymerization; synthesis and processing; theory and modeling; TWIN-SCREW EXTRUDER; POLYMERIZATION; SIMULATION;
D O I：
10.1002/app.41862
中图分类号：
O63 [高分子化学（高聚物）];
学科分类号：
070305 ; 080501 ; 081704 ;
摘要：
In reactive extrusion processes for polymerization, a multi-objective optimization model maximizing the monomer conversion whilst ensuring the low energy consumption was constructed. The selections of reactive processing conditions could be set automatically using an optimization methodology based on genetic algorithms coupled with the numerical simulation routines. Various case studies were discussed. Comparison with experimental data indicates that the design of processing conditions can be performed according to the prespecified objectives. (C) 2014 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2015, 132, 41862.
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页数：6
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