Junjun Zhu, Yao Xiao, Yuyao Li, Lixue Chen, Ping Li
{"title":"A Review on Prediction and Control Techniques for Curing Deformation Process of Composite Components","authors":"Junjun Zhu, Yao Xiao, Yuyao Li, Lixue Chen, Ping Li","doi":"10.1007/s10443-026-10528-4","DOIUrl":null,"url":null,"abstract":"<div><p>Composite material structures are widely used in civil aviation, aerospace and transportation due to high specific modulus, high specific strength, corrosion resistance, and fatigue resistance. However, the composite material curing deformation is generally caused by the anisotropy, the thermochemical shrinkage of the resin, and the inconsistency of the thermal expansion coefficient between the composite material and the mold, which affects the quality and manufacturing accuracy of the structure. To address this issue, the research on the curing deformation of composite materials, based on finite element (FE) simulation technology and artificial intelligence (AI) technology, has received extensive attention. This paper provides a comprehensive review on the mechanism and influencing laws of curing deformation prediction in composite components based on FE and AI technology. Furthermore, representative control techniques are summarized, including prediction-driven mold/tooling geometry compensation and iterative optimization to achieve dimensional tolerances. Based on this, some emerging development trends for the prediction of curing deformation are proposed.</p></div>","PeriodicalId":468,"journal":{"name":"Applied Composite Materials","volume":"33 5","pages":""},"PeriodicalIF":3.9000,"publicationDate":"2026-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Composite Materials","FirstCategoryId":"88","ListUrlMain":"https://link.springer.com/article/10.1007/s10443-026-10528-4","RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MATERIALS SCIENCE, COMPOSITES","Score":null,"Total":0}
引用次数: 0
Abstract
Composite material structures are widely used in civil aviation, aerospace and transportation due to high specific modulus, high specific strength, corrosion resistance, and fatigue resistance. However, the composite material curing deformation is generally caused by the anisotropy, the thermochemical shrinkage of the resin, and the inconsistency of the thermal expansion coefficient between the composite material and the mold, which affects the quality and manufacturing accuracy of the structure. To address this issue, the research on the curing deformation of composite materials, based on finite element (FE) simulation technology and artificial intelligence (AI) technology, has received extensive attention. This paper provides a comprehensive review on the mechanism and influencing laws of curing deformation prediction in composite components based on FE and AI technology. Furthermore, representative control techniques are summarized, including prediction-driven mold/tooling geometry compensation and iterative optimization to achieve dimensional tolerances. Based on this, some emerging development trends for the prediction of curing deformation are proposed.
期刊介绍:
Applied Composite Materials is an international journal dedicated to the publication of original full-length papers, review articles and short communications of the highest quality that advance the development and application of engineering composite materials. Its articles identify problems that limit the performance and reliability of the composite material and composite part; and propose solutions that lead to innovation in design and the successful exploitation and commercialization of composite materials across the widest spectrum of engineering uses. The main focus is on the quantitative descriptions of material systems and processing routes.
Coverage includes management of time-dependent changes in microscopic and macroscopic structure and its exploitation from the material''s conception through to its eventual obsolescence.