Ying Wang, Hongmei Li, Shaowei Lu, Xingmin Liu, W. Li, Xiaoqiang Wang, Lu Zhang, Qingxuan Wang
{"title":"Impact localization of composite laminates based on weight function compensation localization algorithm of thin film sensors","authors":"Ying Wang, Hongmei Li, Shaowei Lu, Xingmin Liu, W. Li, Xiaoqiang Wang, Lu Zhang, Qingxuan Wang","doi":"10.1080/19475411.2023.2184880","DOIUrl":null,"url":null,"abstract":"ABSTRACT Composite structures are sensitive to impact damage in practical engineering. Electric resistance change method (ERCM) is an ideal technique for damage monitoring of composite structures. Due to the anisotropy of fiber-resin matrix composites, impact location monitoring is difficult, and research on impact location of fiber composite laminates (FRPs) is limited. A preparation method of MXene/CNT/CuNps thin film sensor is proposed. According to the modeling simulation and theoretical calculation, the resistance change characteristics of the thin film sensor are obtained, the relationship between the impact distance and the resistance change is established, and the sensor array is designed. A three-point localization algorithm and a weight function compensation localization algorithm are proposed, which can improve the imaging accuracy of the impact position. The impact point location was observed and analyzed using ultrasonic C-scan technology. The results show that the weight function compensation positioning algorithm can accurately locate the impact of the composite structure, and the error in the X direction is 7.1%, the error in the Y direction is 0.03%, which verifies the effectiveness of the method. GRAPHICAL ABSTRACT","PeriodicalId":48516,"journal":{"name":"International Journal of Smart and Nano Materials","volume":"14 1","pages":"139 - 154"},"PeriodicalIF":4.5000,"publicationDate":"2023-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Smart and Nano Materials","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1080/19475411.2023.2184880","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 1
Abstract
ABSTRACT Composite structures are sensitive to impact damage in practical engineering. Electric resistance change method (ERCM) is an ideal technique for damage monitoring of composite structures. Due to the anisotropy of fiber-resin matrix composites, impact location monitoring is difficult, and research on impact location of fiber composite laminates (FRPs) is limited. A preparation method of MXene/CNT/CuNps thin film sensor is proposed. According to the modeling simulation and theoretical calculation, the resistance change characteristics of the thin film sensor are obtained, the relationship between the impact distance and the resistance change is established, and the sensor array is designed. A three-point localization algorithm and a weight function compensation localization algorithm are proposed, which can improve the imaging accuracy of the impact position. The impact point location was observed and analyzed using ultrasonic C-scan technology. The results show that the weight function compensation positioning algorithm can accurately locate the impact of the composite structure, and the error in the X direction is 7.1%, the error in the Y direction is 0.03%, which verifies the effectiveness of the method. GRAPHICAL ABSTRACT
期刊介绍:
The central aim of International Journal of Smart and Nano Materials is to publish original results, critical reviews, technical discussion, and book reviews related to this compelling research field: smart and nano materials, and their applications. The papers published in this journal will provide cutting edge information and instructive research guidance, encouraging more scientists to make their contribution to this dynamic research field.