复合材料科学与工程 ›› 2025, Vol. 0 ›› Issue (6): 10-18.DOI: 10.19936/j.cnki.2096-8000.20250628.002

• 基础与力学性能研究 • 上一篇    下一篇

一种UV光固化树脂固化动力学模型的建立

彭静璇, 丁安心, 徐秘, 胡雪琴, 杨琳, 郭宁*   

  1. 武汉理工大学 材料科学与工程学院,武汉 430070
  • 收稿日期:2024-03-01 出版日期:2025-06-28 发布日期:2025-07-24
  • 通讯作者: 郭宁(1991—),男,博士,研究方向为复合材料制备与设计,14036@whut.edu.cn。
  • 作者简介:彭静璇(1998—),女,硕士研究生,研究方向为树脂固化动力学及固化行为模拟。
  • 基金资助:
    国家自然科学基金(11902231);湖北省重大科技攻关项目(尖刀2023BAA004)

An establishment of a UV photocuring resin curing kinetic model

PENG Jingxuan, DING Anxin, XU Mi, HU Xueqin, YANG Lin, GUO Ning*   

  1. School of Materials Science and Engineering, Wuhan University of Technology, Wuhan 430070, China
  • Received:2024-03-01 Online:2025-06-28 Published:2025-07-24

摘要: 光固化动力学是光固化研究中重要的一部分。使用外接UV光源的差示扫描量热仪分别测试在不同光强和温度下的光固化情况,得到树脂固化过程热流曲线、固化度曲线、固化速率曲线。采用自催化模型对固化速率曲线进行拟合,对得到的参数进行线性或非线性拟合,得到曲线函数关系。前人研究较多考虑单一变量对固化动力学模型的影响,具有局限性。本文提出一种假设,在所得固化动力学方程中同时引入固化温度、光强两个变量,通过实际实验与有限元固化仿真模拟对比,验证本文所提出固化动力学模型的可靠性。计算所得仿真与实际测试的最大误差不超过6.5%。这一研究拓展了对于光固化动力学的理解,为优化光固化工艺提供了新的思路和方法。

关键词: 光固化, 差示扫描量热仪, 固化动力学, 自催化模型, 固化仿真

Abstract: The study of photocuring kinetics is an important part of photocuring research. Using an external UV light source coupled with differential scanning calorimetry, the photocuring behavior was tested at different light intensities and temperatures. This investigation provided heat flow curves, curing degree curves, and curing rate curves for the resin during the curing process. The autocatalytic model was used to fit the curing rate curves. The parameters obtained were fitted using linear or nonlinear regression to establish the curve function relationship. Previous studies had limitations as they almost considered the effect of a single variable on the photocuring kinetics model. This paper proposed a hypothesis that simultaneously incorporated curing temperature and light intensity as variables within the derived photocuring kinetic equation. The reliability of the proposed photocuring kinetics model was verified by comparison between actual experiment and finite element curing simulation. The maximum error between simulation and actual experiment is calculated to be no more than 6.5%. This study extends the understanding of photocuring kinetics and provides new perspectives and methods for optimizing the photocuring process.

Key words: photocuring, differential scanning calorimetry, curing kinetics, autocatalytic model, curing simulation

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