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
收藏
页码：769 / 774
页数：6
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