超声成像自动检测系统开发
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  • 英文篇名:Development of Automatic Ultrasonic Imaging Detection System
  • 作者:方震东 ; 范孟豹 ; 曹丙花 ; 张振林
  • 英文作者:FANG Zhen-dong;FAN Meng-bao;CAO Bing-hua;ZHANG Zhen-lin;College of Mechatronic Engineering,China University of Mining and Technology;College of Information and Control Engineering,China University of Mining and Technology;
  • 关键词:超声成像检测 ; 信号去噪 ; 动态闸门 ; 双线性插值法 ; 缺陷定量
  • 英文关键词:ultrasonic imaging detection;;signal denoising;;dynamic gate;;bilinear interpolation method;;quantitative detection
  • 中文刊名:YBJS
  • 英文刊名:Instrument Technique and Sensor
  • 机构:中国矿业大学机电工程学院;中国矿业大学信息与控制工程学院;
  • 出版日期:2019-01-15
  • 出版单位:仪表技术与传感器
  • 年:2019
  • 期:No.432
  • 基金:国家自然科学基金项目(51677187,61701500)
  • 语种:中文;
  • 页:YBJS201901018
  • 页数:5
  • CN:01
  • ISSN:21-1154/TH
  • 分类号:72-75+79
摘要
采用常规超声检测工件时,检测效率低,无法得到直观的检测结果。为了提高超声检测的检测速度、检测适用范围及灵活性,采用电子扫描、动态闸门、信号去噪及成像算法,结合三轴机械扫描架,研制了超声成像自动检测软硬件系统。采用双晶探头对4 mm厚的碳纤维复合材料试样内分层孔缺陷进行了检测扫查试验,对检测系统的性能进行了初步验证。通过对-6 dB法成像矩阵数据进行双线性插值法的方式,对碳纤维复合材料分层孔缺陷进行定量分析,孔缺陷面积定量误差降低了6%~7%,直径定量误差降低了3%~4%,有效提高了缺陷定量精度。试验结果表明所研制的系统能够实现对试件内缺陷信号特征提取及成像,满足检测的要求。
        When routine ultrasound was used to detect the workpiece,the detection efficiency was low and the intuitive detection results cannot be obtained. In order to improve the detection speed of ultrasonic detection,detection range and flexibility,electronic scanning,dynamic gate,signal denoising and imaging algorithm were adopted combined with the three axis mechanical scanning frame,the automatic testing software and hardware system of ultrasonic imaging was developed. The laminated hole defects in carbon fiber composite specimens of 4 mm thick were detected by twin crystal probe,performance of the detection system is preliminarily verified. By bilinear interpolation method of-6 d B imaging data matrix,the carbon fiber composite layered hole defect was quantitative analyzed. The quantitative error of hole defect area was reduced by 6% ~ 7%,and the quantitative error of diameter was reduced by 3% ~ 4%,it can effectively improve the quantitative accuracy of defects. The experimental results show that the developed system can realize the feature extraction and imaging of defect signals in the test piece,and meet the requirements of detection.
引文
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