复合材料科学与工程 ›› 2026, Vol. 0 ›› Issue (4): 124-131.DOI: 10.19936/j.cnki.2096-8000.20260428.015

• 设计与工艺 • 上一篇    下一篇

基于响应面法复合材料固化变形影响研究

刘世宇1, 牛雪娟1,2*   

  1. 1.天津工业大学 机械工程学院,天津 300387;
    2.天津市现代机电装备技术重点实验室,天津 300387
  • 收稿日期:2025-01-08 发布日期:2026-06-16
  • 通讯作者: 牛雪娟(1977—),女,教授,博士生导师,研究方向为复合材料工艺及制备,niuxuejuan@ tiangong.edu.cn。
  • 作者简介:刘世宇(2000—),男,硕士研究生,研究方向为复合材料固化成型特性。
  • 基金资助:
    仿生多相共固微构型 CFRP 的可控合成及热压固化特性研究(23JCZDJC00450)

Study on curing deformation of composite materials using response surface methodology

LIU Shiyu1, NIU Xuejuan1,2*   

  1. 1. School of Mechanical Engineering, Tiangong University, Tianjin 300387, China;
    2. Advanced Mechatronics Equipment Technology Tianjin Area Major Laboratory, Tianjin 300387, China
  • Received:2025-01-08 Published:2026-06-16

摘要: 针对复合材料固化成型残余应力导致固化变形的问题,本文采用顺序热-力耦合的数值模拟方法预测复合材料固化变形。通过热压罐成型工艺制备构件,基于响应面法探究工艺参数对固化变形的影响研究和控制。以各数据点所测数据为基础建立响应面模型,得到最优固化工艺参数。结果表明,通过顺序热-力耦合方式进行数值模拟,构件最大变形与试验结果之间的误差为14.56%。利用响应面优化得到的最优固化工艺,其固化变形的预测值与试验测得的最大变形之间的最大偏差不超过36.17%。相较于传统工艺,优化后最大变形量降低了55.38%。

关键词: 响应面法, 碳纤维复合材料, 固化变形, 优化设计

Abstract: To address the issue of curing deformation caused by residual stress in composite material curing processes, this study aims to predict composite curing deformation using a sequentially coupled thermal-mechanical numerical simulation method. Components were fabricated via the autoclave process. The influence of process parameters on curing deformation was investigated and controlled based on the response surface methodology (RSM). A response surface model was established using measured data points to obtain optimal curing parameters. The results indicate that the maximum deformation error between the numerical simulation (via sequential thermal-mechanical coupling) and experimental results is 14.56%. For the optimal curing parameters derived from RSM optimization, the maximum deviation between predicted curing deformation and experimentally measured maximum deformation does not exceed 36.17%. Furthermore, the optimized maximum deformation is reduced by 55.38% compared to traditional processes.

Key words: response surface method, carbon fiber composite materials, curing deformation, optimization

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