摘要
针对陶瓷膜板内部缺陷检测的全覆盖扫查问题,设计了一种基于超声信号的纵横复合式陶瓷膜板内部缺陷检测系统.该系统主要由超声采集模块和超声检测模块两部分组成.超声采集模块通过控制器、驱动器和滚珠丝杠之间相互配合,控制超声探伤仪进行纵横复合运动,实现对陶瓷膜板的全覆盖扫查;超声检测模块通过计算机和可视化软件界面,实现对超声采集模块的控制,同时能够对超声信号进行分析和处理.最后,通过在陶瓷膜板试件上进行测试,结果表明:该系统通过基于超声信号的纵横复合式扫查,实现了对陶瓷膜板内部缺陷的全覆盖扫查,相较于传统人工扫查的方式,缺陷覆盖率提高了14.93%,效率提高了41.8%,保证了陶瓷膜板内部缺陷数据的完整性及效率,具有良好的工程应用价值.
Abstract
A longitudinal and transverse compound ceramic membrane plate internal defect detection system based on ultrasonic signals is designed in this paper to solve the problem of full-coverage scanning for internal defect detection of ceramic membrane plates.The system is comprised of two principal components:the ultrasonic acquisition module and the ultrasonic detection module.The ultrasonic acquisition module oversees the operation of the ultrasonic flaw detector,coordinating the controller,driver and ball screw to facilitate longitudinal and transverse compound motion,thereby enabling comprehensive scanning of ceramic membrane plates.The ultrasonic detection module facilitates the control of the ultrasonic acquisition module and the analysis and processing of the ultrasonic signals via the computer and the visual software interface.Subsequently,the efficacy of the system was evaluated through experimentation on ceramic membrane plate specimens.The results demonstrate that the system is capable of achieving full-coverage scanning of internal defects in ceramic membrane plates through the utilization of longitudinal and transverse compound scanning based on ultrasonic signals.This approach has been shown to enhance the defect coverage rate by 14.93%and the efficiency by 41.8%in comparison to the conventional manual scanning method.This improvement in efficiency and data integrity ensures the effective and reliable detection of internal defects in ceramic membrane plates,offering a promising solution with significant engineering application value.
基金项目
国家自然科学基金项目(51775484)
国家自然科学基金项目(51475409)
2022年扬州大学市校合作专项(YZ2022195)
2022年扬州市产业前瞻与共性关键技术项目(YZ2022022)
2023年江苏省研究生实践创新计划项目(SJCX23_1901)
国家科技期刊平台
NSTL
万方数据