曲面工件超声自适应检测方法研究
Research on ultrasonic adaptive detection method of curved workpiece
黄江茵 1潘文联 2龙晋桓 3付磊 3韩军3
作者信息
- 1. 厦门理工学院电气工程与自动化学院,福建厦门 361024
- 2. 厦门理工学院电气工程与自动化学院,福建厦门 361024;中国科学院海西研究院泉州装备制造研究中心,福建泉州 362000
- 3. 中国科学院海西研究院泉州装备制造研究中心,福建泉州 362000
- 折叠
摘要
对曲面工件进行超声检测时,受工件曲率影响,超声波在曲界面处反射偏转特性不规律,造成回波接收困难,增加了检测的实现难度.针对以上问题,结合超声测距和幅值最大原理,阐述了以机械臂为运动机构的曲面工件点云建模方法,分析点位间角度关系,提出了一种基于分段三次Hermite函数的声束姿态调整算法,并通过C扫结果验证了算法有效性.以曲面轴承试块为例,进行了缺陷定量实验,试块缺陷检出率100%,缺陷尺寸误差不大于5.86%.实验结果表明:该方法能够实现曲面工件高精度扫查,为实现曲面工件超声自动化检测提供了一种便捷有效的途径.
Abstract
Affected by the curvature of curved workpieces,the reflection and deflection characteristics of ultrasonic waves at the curved interface are irregular during the ultrasonic inspection,which makes it difficult to receive echoes and increases the difficulty of inspection.Aiming at the above problems,combined with the principle of ultrasonic ranging and maximum amplitude,the point cloud modeling method based on robotic arm is expounded.By analyzing the angle relationship between the points,a sound beam attitude adjustment algorithm based on the piecewise cubic Hermite function is proposed,the effectiveness of the algorithm is verified by the C-scan results.Taking the curved bearing sample block as an example,the defect quantitative experiment is carried out.The defect detection rate is 100%,and the error of the defect size is not more than 5.86%.The experimental results show that the method can realize high-precision scanning of curved workpieces,and provides a convenient and effective way to realize ultrasonic automatic detection of curved workpieces.
关键词
曲面工件/机械臂/超声检测/C扫成像Key words
curved workpiece/robotic arm/ultrasonic detection/C-scan imaging引用本文复制引用
基金项目
中国科学院对外重点合作项目(121836KYSB20180062)
闽都创新实验室主任基金(2021ZR107)
福建省中国科学院科技服务网络计划(STS计划)配套项目(2021T3060)
福建省中国科学院科技服务网络计划(STS计划)配套项目(2021T3032)
泉州市科技计划(2021C063L)
福建省教育厅教育科研项目(JAT200463)
厦门理工学院科研助长项目(XPDKQ19012)
出版年
2024
NETL
NSTL
万方数据