Tiantian Yang, Li Zhang, Zhixing Li, Kai Huang, Licheng Guo
{"title":"Experimental characterization methods and numerical models of woven composite preforms: A review","authors":"Tiantian Yang, Li Zhang, Zhixing Li, Kai Huang, Licheng Guo","doi":"10.1016/j.compositesa.2024.108329","DOIUrl":null,"url":null,"abstract":"<div><p>The formation of woven preforms is crucial for the quality and performance of textile composites produced through the Liquid Composite Molding (LCM) process. However, the structure of the preform inevitably undergoes deformations during the weaving and forming processes, such as compression, misalignment, even wrinkle defects. Advanced experimental methods and effective numerical approaches are keys for characterizing the deformation behavior and revealing the underlying mechanisms of the woven preforms in the forming process. Initially, this review presents classical woven composite preforms. Then, advanced experimental methods for the woven preforms are provided and discussed based on the applied load. Moreover, numerical analysis approaches for preforms are summarized at different scales. Based on the above summaries, future research trends for experimental methods and numerical analysis approaches of woven preforms are proposed. These trends include the integrated multi-means characterization of deformation, improved mechanical tests, and simulation models combining machine learning algorithms and finite element methods.</p></div>","PeriodicalId":282,"journal":{"name":"Composites Part A: Applied Science and Manufacturing","volume":null,"pages":null},"PeriodicalIF":8.1000,"publicationDate":"2024-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Composites Part A: Applied Science and Manufacturing","FirstCategoryId":"1","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1359835X24003269","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MANUFACTURING","Score":null,"Total":0}
引用次数: 0
Abstract
The formation of woven preforms is crucial for the quality and performance of textile composites produced through the Liquid Composite Molding (LCM) process. However, the structure of the preform inevitably undergoes deformations during the weaving and forming processes, such as compression, misalignment, even wrinkle defects. Advanced experimental methods and effective numerical approaches are keys for characterizing the deformation behavior and revealing the underlying mechanisms of the woven preforms in the forming process. Initially, this review presents classical woven composite preforms. Then, advanced experimental methods for the woven preforms are provided and discussed based on the applied load. Moreover, numerical analysis approaches for preforms are summarized at different scales. Based on the above summaries, future research trends for experimental methods and numerical analysis approaches of woven preforms are proposed. These trends include the integrated multi-means characterization of deformation, improved mechanical tests, and simulation models combining machine learning algorithms and finite element methods.
期刊介绍:
Composites Part A: Applied Science and Manufacturing is a comprehensive journal that publishes original research papers, review articles, case studies, short communications, and letters covering various aspects of composite materials science and technology. This includes fibrous and particulate reinforcements in polymeric, metallic, and ceramic matrices, as well as 'natural' composites like wood and biological materials. The journal addresses topics such as properties, design, and manufacture of reinforcing fibers and particles, novel architectures and concepts, multifunctional composites, advancements in fabrication and processing, manufacturing science, process modeling, experimental mechanics, microstructural characterization, interfaces, prediction and measurement of mechanical, physical, and chemical behavior, and performance in service. Additionally, articles on economic and commercial aspects, design, and case studies are welcomed. All submissions undergo rigorous peer review to ensure they contribute significantly and innovatively, maintaining high standards for content and presentation. The editorial team aims to expedite the review process for prompt publication.