铜钢熔敷焊焊接接头自动超声C扫检测系统研究

发布时间：2018-07-23 16:23

【摘要】：本课题主要研究了铜钢感应熔敷焊焊接接头的超声检测技术。设计了水浸聚焦自动超声C扫检测系统,采用的水浸法探头不与工件表面直接接触,明显提升了耦合效果,该自动化检测设备大大降低了人为因素对超声检测的影响,提升了产品的竞争力。设计了超声C扫自动检测系统硬件结构,根据检测系统稳定性、检测精度的要求,合理的选择了检测系统的硬件参数,采用差分法控制信号,提高了控制系统的精度。检测传动装夹机械系统,主要包括探头的传动装置、工件旋转装置、耦合剂的传输装置三个模块。采用滚珠丝杠传递探头X、Y轴的运动,工件的旋转控制由同步带的传输实现。设计了超声C扫系统软件,该软件包括运动控制、超声C扫检测参数设置和自动分析检测结果输出模块。该软件能精确控制超声C扫路径,超声缺陷识别软件能合理的输入超声检测工艺参数,并对缺陷性质、位置和大小进行分析。深入研究了超声源和超声耦合通道,采用屏蔽、接地、设计共模噪声消除电路等多种措施降低了系统噪声,通过设置闸门位置、水距和超声探伤仪参数等软件参数,降低了动态检测过程中草状波的干扰。试验结果表明：A扫显示噪声干扰的强度比采取降噪措施之前下降8dB-10dB,明显的提高了系统的信噪比。制备了人工缺陷标准样块。分析了探头参数、探伤仪参数、扫描运动参数、材料自身特性等因素对检测的影响,制定了对比试块的超声检测工艺。通过检验获得了本系统的检测精度可达到1mm。使用该系统对轧制前后200件铜钢熔敷焊焊接产品进行检测。研究了被检工件晶粒尺寸对超声衰减的影响,发现了超声的衰减随着工件晶粒尺寸增加而增加的规律。获得了本系统检测工件晶粒尺寸的极值为0.6mm。
[Abstract]:This paper mainly studies the ultrasonic testing technology of copper-steel induction cladding welding joint. A water immersion focused automatic ultrasonic C scan detection system is designed. The water immersion probe is not directly in contact with the surface of the workpiece, which obviously improves the coupling effect. The automatic testing equipment greatly reduces the influence of human factors on the ultrasonic detection. Improved the competitiveness of the product. The hardware structure of ultrasonic C-scan automatic detection system is designed. According to the requirements of the stability and precision of the detection system, the hardware parameters of the detection system are reasonably selected, and the precision of the control system is improved by using the differential control signal. The testing drive clamping mechanical system mainly includes three modules: probe transmission device, workpiece rotation device and coupling agent transmission device. The movement of the XY axis of the ball screw transfer probe is adopted, and the rotation control of the workpiece is realized by the transmission of the synchronous belt. The software of ultrasonic C scan system is designed. The software includes motion control, parameter setting of ultrasonic C scan detection and output module of automatic analysis and detection results. The software can accurately control the ultrasonic C-scan path, and the ultrasonic defect identification software can input the ultrasonic testing parameters reasonably, and analyze the properties, position and size of the defects. In this paper, the ultrasonic source and ultrasonic coupling channel are studied in depth. The system noise is reduced by shielding, grounding, design of common mode noise elimination circuit and so on. The software parameters such as gate position, water distance and ultrasonic flaw detector parameters are set, such as the location of the gate, the distance between water and the parameters of the ultrasonic flaw detector, and so on. The interference of grass wave in dynamic detection is reduced. The experimental results show that the intensity of noise interference is 8dB-10dB lower than that before noise reduction, and the signal-to-noise ratio (SNR) of the system is improved obviously. A standard sample of artificial defects was prepared. The effects of probe parameters, flaw detector parameters, scanning motion parameters and material properties on the detection are analyzed. The accuracy of the system is up to 1 m ~ (m). The system was used to detect 200 copper and steel deposited welding products before and after rolling. The effect of grain size on ultrasonic attenuation is studied and the rule that ultrasonic attenuation increases with the increase of workpiece grain size is found. The maximum value of the system for detecting the grain size of the workpiece is 0.6 mm.
【学位授予单位】：南京理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TG441.7

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