Polyurethane design using stochastic optimization

被引：0

作者：

Eslick, John ^{[1
]}

Camarda, Kyle ^{[1
]}

机构：

[1] Univ Kansas, Dept Chem & Petr Engn, Lawrence, KS 66045 USA

来源：

16TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING AND 9TH INTERNATIONAL SYMPOSIUM ON PROCESS SYSTEMS ENGINEERING | 2006年 / 21卷

关键词：

Product Design; Optimization; Polyurethane Polymers;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The objective of this work is to develop a method for predicting polyurethane structures having physical and chemical properties matching a given set of properties. Preliminary quantitative structure property relations (QSPRs) are developed for mechanical properties of polyurethane elastomers. A mixed integer nonlinear program (MINLP) optimization problem is solved using Tabu search, a stochastic optimization method, to find a set of polymers with properties matching the target set. Results are obtained for the design of encapsulant polymers for electronics applications.

引用

页码：769 / 774

页数：6

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