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基于羟基封端嵌段共聚醚的粘结剂固化动力学研究

A Study of Hydroxyl-Terminated Block Copolyether-Based Binder Curing Kinetics.

作者信息

Yang Wu, Ding Zhengmao, Zhu Cong, Li Tianqi, Liu Wenhao, Luo Yunjun

机构信息

School of Materials Science and Engineering, Beijing Institute of Technology, Beijing 100081, China.

Pen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, Xiamen 361005, China.

出版信息

Polymers (Basel). 2024 Aug 7;16(16):2246. doi: 10.3390/polym16162246.

Abstract

In order to determine the curing reaction model and corresponding parameters of hydroxyl-terminated block copolyether (HTPE) and provide a theoretical reference for its practical application, the non-isothermal differential scanning calorimetry (DSC) method was used to analyze the curing processes of three curing systems with HTPE and N-100 (an aliphatic polyisocyanate curing agent), isophorone diisocyanate (IPDI), and a mixture of N-100 and IPDI as curing agents. The results show that the curing activation energy of N-100 and HTPE was about 69.37 kJ/mol, slightly lower than the curing activation energy of IPDI and HTPE (75.60 kJ/mol), and the curing activation energy of the mixed curing agent and HTPE was 69.79 kJ/mol. The curing process of HTPE conformed to the autocatalytic reaction model. The non-catalytic reaction order (n) of N-100 and HTPE was about 1.2, and the autocatalytic order (m) was about 0.3, both lower than those of IPDI and HTPE. The reaction kinetics parameters of the N-100 and IPDI mixed curing agent with HTPE were close to those of N-100 and HTPE. The verification results indicate a high degree of overlap between the experimental data and the calculated data.

摘要

为了确定端羟基嵌段聚醚(HTPE)的固化反应模型及相应参数,为其实际应用提供理论参考,采用非等温差示扫描量热法(DSC)对以HTPE与N - 100(一种脂肪族多异氰酸酯固化剂)、异佛尔酮二异氰酸酯(IPDI)以及N - 100与IPDI的混合物为固化剂的三种固化体系的固化过程进行了分析。结果表明,N - 100与HTPE的固化活化能约为69.37 kJ/mol,略低于IPDI与HTPE的固化活化能(75.60 kJ/mol),混合固化剂与HTPE的固化活化能为69.79 kJ/mol。HTPE的固化过程符合自催化反应模型。N - 100与HTPE的非催化反应级数(n)约为1.2,自催化级数(m)约为0.3,均低于IPDI与HTPE的相应值。N - 100与IPDI混合固化剂与HTPE的反应动力学参数与N - 100和HTPE的接近。验证结果表明实验数据与计算数据高度重叠。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2f2/11360112/16e7060beb3a/polymers-16-02246-g002.jpg

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