Banghai Zhang , Deteng Liu , Ziyan Luo , Jingde Li , Xiansheng Qin , Zhanxi Wang
{"title":"Non-destructive Testing System for High-curvature Laminated Composite Workpieces","authors":"Banghai Zhang , Deteng Liu , Ziyan Luo , Jingde Li , Xiansheng Qin , Zhanxi Wang","doi":"10.1016/j.procir.2025.09.046","DOIUrl":null,"url":null,"abstract":"<div><div>The automatic ultrasonic scanning system integrating a gantry mobile platform and a robot has shown high effectiveness in detecting large-curvature laminated composites. However, for large-curvature laminated wing workpieces, achieving full-surface coverage during automatic scanning remains a critical technical challenge. To address this, this study first identifies the key factors influencing the efficiency and accuracy of robot scanning. It then proposes adopting the Zig-Zag scanning strategy for trajectory planning: the size and quantity of the robot’s single scanning area are determined based on its working range, and the overall scanning trajectory is subsequently formed. Additionally, a four-sensor normal detection algorithm is developed to real-time detect the normal vector of the scanning area, enabling real-time adjustment of the robot’s end-effector attitude. This approach ensures the accuracy of the automatic ultrasonic scanning system while significantly improving scanning efficiency.</div></div>","PeriodicalId":20535,"journal":{"name":"Procedia CIRP","volume":"139 ","pages":"Pages 379-384"},"PeriodicalIF":0.0000,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Procedia CIRP","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2212827125010194","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/2/18 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The automatic ultrasonic scanning system integrating a gantry mobile platform and a robot has shown high effectiveness in detecting large-curvature laminated composites. However, for large-curvature laminated wing workpieces, achieving full-surface coverage during automatic scanning remains a critical technical challenge. To address this, this study first identifies the key factors influencing the efficiency and accuracy of robot scanning. It then proposes adopting the Zig-Zag scanning strategy for trajectory planning: the size and quantity of the robot’s single scanning area are determined based on its working range, and the overall scanning trajectory is subsequently formed. Additionally, a four-sensor normal detection algorithm is developed to real-time detect the normal vector of the scanning area, enabling real-time adjustment of the robot’s end-effector attitude. This approach ensures the accuracy of the automatic ultrasonic scanning system while significantly improving scanning efficiency.