环戊酮
降级(电信)
热力学
热的
数学
动能
胺气处理
化学
相(物质)
材料科学
高分子化学
有机化学
物理
计算机科学
电信
量子力学
催化作用
作者
Hadiseh Karimi,Mark A. Schaffer,Kimberley B. McAuley
标识
DOI:10.1002/mren.201100051
摘要
Abstract A model is developed to predict rates of undesirable reactions in the low‐moisture, high‐temperature finishing stage of nylon 66 production. The model contains 56 unknown parameters and initial conditions, which are ranked based on their influence on model predictions, correlation with other parameters and uncertainty in their initial guesses. A mean‐square‐error criterion is used to determine that 43 of 56 parameters should be estimated. The proposed model, which describes the effect of melt‐phase water concentration on degradation, matches the data well with typical errors of 6.1 and 2.9%, respectively, for amine ends (A) and carboxyl ends (C) and 4.3, 27.2, and 29.4%, respectively, for evolution rates of CO 2 , NH 3 , and cyclopentanone (CPK). magnified image
科研通智能强力驱动
Strongly Powered by AbleSci AI