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Multi‐objective optimization of reactive extrusion by genetic algorithms
Author(s) -
Zhang Guofang,
Zhang Min,
Jia Yuxi
Publication year - 2015
Publication title -
journal of applied polymer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.575
H-Index - 166
eISSN - 1097-4628
pISSN - 0021-8995
DOI - 10.1002/app.41862
Subject(s) - reactive extrusion , extrusion , genetic algorithm , monomer , set (abstract data type) , computer science , mathematical optimization , materials science , algorithm , polymerization , process engineering , polymer , mathematics , engineering , composite material , programming language
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. © 2014 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2015 , 132 , 41862.