基于涡流技术的管道表面缺陷探测系统
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摘要
管道内壁在生产过程中会有气泡、裂纹和腐蚀等问题,为提高管道内壁质量检测精度,设计一种基于涡流技术的管道表面缺陷探测系统。根据探测原理和工艺参数要求,采用0.1 kHz～20 MHz数字可调脉冲发生器驱动涡轮传感器来适应更多场合,设计1 000倍仪表放大、交流电压检测及200 mV有效值检波等检测电路,通过检测缺陷表面与标准表面信号的方法对比识别故障,最后对比不同故障的电压值进行实验数据分析。实验表明传感器提离值为4 mm时仍然能对宽2 mm、深1 mm的缺陷检测信号进行分辨。结果表明系统能对板材内壁表面质量实现无接触的稳定探测。
In the process of production,there will be bubbles,cracks and corrosion in the inner wall of pipeline.In order to improve the quality detection precision of the inner wall of the pipeline,a detection system based on the eddy current technology was designed to improve the quality detection precision of the inner wall of the pipe.According to the principle of detection and the requirement of technical parameters,the 0.1 kHz～20 MHz digital adjustable pulse generator was used to drive the turbine sensor to adapt to more occasions.1 000 times instrument amplification,AC voltage detection and 200 mV effective value detection circuit were designed,and the fault is identified by detecting the defect surface and the standard surface signal.After comparing the voltage values of different faults,the experimental data are analyzed.Experiments show that when the sensor is 4 mm,the defect detection signal with wide 2 mm and deep 1 mm can still be distinguished.The results show that the system can realize the non-contact stability detection of the inner surface quality of the sheet metal.
In the process of production,there will be bubbles,cracks and corrosion in the inner wall of pipeline.In order to improve the quality detection precision of the inner wall of the pipeline,a detection system based on the eddy current technology was designed to improve the quality detection precision of the inner wall of the pipe.According to the principle of detection and the requirement of technical parameters,the 0.1 kHz～20 MHz digital adjustable pulse generator was used to drive the turbine sensor to adapt to more occasions.1 000 times instrument amplification,AC voltage detection and 200 mV effective value detection circuit were designed,and the fault is identified by detecting the defect surface and the standard surface signal.After comparing the voltage values of different faults,the experimental data are analyzed.Experiments show that when the sensor is 4 mm,the defect detection signal with wide 2 mm and deep 1 mm can still be distinguished.The results show that the system can realize the non-contact stability detection of the inner surface quality of the sheet metal.
引文
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[2] 吴斌,王舒昱,刘秀成,等.钢块缺陷双向涡流检测信号的正交解调电路[J].北京工业大学学报,2018,44(3):363-368.
[3] 沈功田,李建,武新军.承压设备脉冲涡流检测技术研究及应用[J].机械工程学报,2017,53(4):49-58.
[4] 魏有昀,张永军,韩静涛,等.钢坯表面裂纹的检测技术[J].材料导报,2016,30(S2):75-79.
[5] 黄凤英.钢轨表面裂纹涡流检测定量评估方法[J].中国铁道科学,2017,38(2):28-33.
[6] 王朝杰,王红亮,段培盛,等.电容式微机械超声传感器(CMUT)声场特性分析[J].仪表技术与传感器,2016(12):1-4.
[7] 唐高峰,万舟,刘东生,等.基于电涡流传感器的油罐车内部缺陷检测[J].腐蚀与防护,2017,38(4):316-321.
[8] 韩军.一种简易前兆观测室温、湿度环境监测设备研制[J].地震工程学报,2017,39(S1):134-139.
[9] 王晓娜,李恺强,宋世德,等.基于LabVIEW的脉冲涡流检测系统[J].实验技术与管理,2017,34(6):82-86.
[10] 乔天骄,黄松岭,赵伟,等.双频涡流检测系统的设计[J].电测与仪表,2016,53(8):1-6.
[11] 厚康,周海婷,王清,等.基于有限元仿真的薄板焊缝缺陷涡流检测信号分析[J].仪表技术与传感器,2016(5):99-102.
[12] 武新军,张卿,沈功田.脉冲涡流无损检测技术综述[J].仪器仪表学报,2016,37(8):1698-1712.