您好,欢迎来到中国测试科技资讯平台!

首页> 《中国测试》期刊 >本期导读>变壁厚回转体零件超声检测动态闸门技术研究

变壁厚回转体零件超声检测动态闸门技术研究

2717    2018-06-02

免费

全文售价

作者:吴玄, 周世圆, 张翰明, 黄巧胜, 程垄

作者单位:北京理工大学检测与控制研究所, 北京 100089


关键词:超声检测;变壁厚;预扫查;动态闸门;回转体


摘要:

针对回转体自动化超声检测系统难以对变壁厚零件进行全尺寸检测的特点,提出一种基于底波声时预扫查的闸门动态控制技术。首先利用预扫查获取底波声时信息,然后对无底波声时信息的过渡区讨论线性及非线性插值方法,构建出闸门宽度控制数组,最后设计算法实现与验证试验,用该数组实时控制扫查闸门宽度,实现对变壁厚回转体的全尺寸扫查成像检测。实验结果表明:动态闸门技术可以有效检测出变壁厚回转体零件中的缺陷。


Research on ultrasonic dynamic gate technology for inspection of rotational parts with variable thickness

WU Xuan, ZHOU Shiyuan, ZHANG Hanming, HUANG Qiaosheng, CHENG Long

Institute of Testing and Control, Beijing Institute of Technology, Beijing 100089, China

Abstract: Aiming at the problem that the revolving body automatic ultrasonic testing system can hardly detect the full size of parts with variable thickness, a gate dynamic control technology based on the bottom wave prescanning is presented. Firstly, prescanning is used to acquire the bottom wave acoustic time information, and then the linear and nonlinear interpolation methods are discussed for the transition region of the non bottom wave acoustic time information, and the gate width control array is constructed. Finally, the algorithm implementation and verification experiment are carried out, the scanning gate width is controlled by the array in real time, and the full scale scanning imaging detection of the revolving body with variable thickness is realized. The results show that the dynamic gate technology can effectively detect the defects in the parts with variable thickness.

Keywords: ultrasonic testing;variable thickness;prescanning;dynamic gate;revolving body

2018, 44(5): 103-107  收稿日期: 2017-10-19;收到修改稿日期: 2017-11-28

基金项目: 国家重大科技专项(2014ZX04012-015)

作者简介: 吴玄(1993-),男,陕西安康市人,硕士研究生,专业方向为检测与控制。

参考文献

[1] 吴思源,周晓军,李雄兵,等. 变厚度航空锻件超声C扫描技术研究[J]. 传感技术学报,2006,19(4):1052-1054.
[2] 常少文,高志凌,崔二炜,等. 焊接钢管超声波自动探伤中的闸门设置方法[J]. 无损探伤,2013,37(5):6-9.
[3] CHEN Y C, ZHOU X J, YANG C L. The ultrasonic evaluation method for the porosityof variable-thickness curved CFRP workpiece:using a numerical wavelet transform[J]. Nondestructive Testing and Evaluation,2014, 29(3):195-207.
[4] 武刚,杨录,张艳花. 超声水浸探伤检测闸门自动跟踪电路研究[J]. 中国测试,2016,42(4):81-85.
[5] CHENG L C, KANG Y C, CHEN C L. A resonance-frequency-tracing method for a current-fed piezoelectrict ransducer[J]. IEEE Transactions on Industrial Electronics, 2014(61):6031-6040.
[6] 涂春磊,徐志农,杨辰龙,等. 曲面工件超声检测机器人误差补偿分析[J]. 轻工机械,2011,29(5):23-27.
[7] 杨录,宋文爱. 变壁厚筒体超声检测技术研究[J]. 弹箭与制导学报,2004,24(2):221-223.
[8] 杨辰龙. 曲面变厚度工件超声检测中的波形自动跟踪技术研究[C]//第30届中国控制会议论文集.烟台:中国自动化学会控制理论专业委员会,2011:3058-3061.
[9] 吴思源. 曲面工件超声自动检测中若干关键技术研究[D].杭州:浙江大学,2006.
[10] 刘方芳. 基于机械手的叶片扫查超声检测技术[D]. 北京:北京理工大学,2016.
[11] 易能凡. 远程控制机器人辅助超声扫描与三维成像系统设计与实现[D]. 广州:华南理工大学,2016.
[12] 张仕骐.复合材料曲面工件双机械手超声无损检测技术[D].北京:北京理工大学,2015.