Non-destructive Testing System for High-curvature Laminated Composite Workpieces

Procedia CIRP Pub Date : 2026-01-01 Epub Date: 2026-02-18 DOI:10.1016/j.procir.2025.09.046
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 ,&nbsp;Deteng Liu ,&nbsp;Ziyan Luo ,&nbsp;Jingde Li ,&nbsp;Xiansheng Qin ,&nbsp;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.
高曲率层合复合材料工件无损检测系统
结合龙门移动平台和机器人的自动超声扫描系统在检测大曲率层合复合材料方面表现出了很高的效率。然而,对于大曲率层压机翼工件,在自动扫描过程中实现全表面覆盖仍然是一个关键的技术挑战。为了解决这一问题,本研究首先确定了影响机器人扫描效率和精度的关键因素。然后提出采用z - zag扫描策略进行轨迹规划,根据机器人的工作范围确定其单个扫描区域的大小和数量,形成整体扫描轨迹。此外,开发了一种四传感器法向检测算法,实时检测扫描区域的法向量,实现机器人末端执行器姿态的实时调整。该方法在保证超声自动扫描系统精度的同时,显著提高了扫描效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
3.80
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书