复合材料科学与工程Issue(12)：119-125,7.DOI:10.19936/j.cnki.2096-8000.20241228.017
基于机器学习的L形复合材料长桁固化变形预测
Curing deformation prediction of L-shaped composite stringer based on machine learning
孙晓辉 1吕毅 2王建军 3张先芝 4谢佳庆1
作者信息
- 1. 西安工业大学 机电工程学院,西安 710021
- 2. 西安工业大学 机电工程学院,西安 710021||西安航空学院 民航学院,西安 710077
- 3. 西安航空学院 民航学院,西安 710077
- 4. 哈德斯菲尔德大学 计算机与工程学院,英国 HDI 3DH
- 折叠
摘要
Abstract
Aiming at the problem that the curing deformation mechanism of composite structure in the process of manufacturing is very complicated,and many parameters are involved and constantly change during the curing process,a method based on machine learning was proposed to predict the curing deformation of L-shaped composite stringer in the molding process.ABAQUS finite element software was used to simulate the curing molding process of L-shaped composite stringer in autoclave,and a data set of curing spring-in angle of L-shaped composite stringer was estab-lished,which was characterized by six parameters of the curing process temperature curve:two-stage heating rate,two-stage holding temperature and two-stage holding time.Then RBF neural network was constructed and curing deformation prediction was carried out.The results show that this method has high prediction accuracy and efficien-cy,the prediction error is less than 3%,and the model time is only 1.25 s.关键词
复合材料/固化变形/径向基函数/机器学习/L形长桁Key words
composite/curing deformation/radical basis function/machine learning/L-shaped stringer分类
通用工业技术引用本文复制引用
孙晓辉,吕毅,王建军,张先芝,谢佳庆..基于机器学习的L形复合材料长桁固化变形预测[J].复合材料科学与工程,2024,(12):119-125,7.
