含镍腐蚀噪声的铜-镍合金热交换管涡流检测信号处理方法

发布时间：2018-08-24 16:03

【摘要】：基于理论分析和实验研究,提出和验证了一种针对铜镍合金管脱镍腐蚀区域涡流检测信号的自动处理方法。首先,通过数值分析,研究了换热管内壁脱镍腐蚀和管内外壁裂纹导致的涡流检测信号的差异,发现腐蚀噪声与裂纹信号的相位和波形具有不同特点,但单一信号特征量无法独立判定检测信号中的缺陷信息。基于信号相位和波形特征,提出了一种基于分段特征相位变换和模式匹配识别的涡流检测裂纹信息判定方法。作为验证实验,利用实际核电站老化换热管制作了含不同大小人工裂纹和疲劳裂纹的脱镍腐蚀换热管裂纹试件,进行了涡流检测并对检测信号利用本文方法进行了识别处理。实验结果表明本方法可有效从混合信号中识别和抽取裂纹信息,可有效用于实际铜镍合金换热管脱镍腐蚀区域的裂纹检测。
[Abstract]:Based on the theoretical analysis and experimental study, an automatic processing method for the eddy current detection signals in the delamination zone of Cu-Ni alloy tubes is proposed and verified. First of all, through numerical analysis, the difference of eddy current detection signals caused by denitrification of heat transfer tube inner wall and crack inside and outside of tube is studied. It is found that the phase and waveform of corrosion noise and crack signal have different characteristics. However, a single signal feature can not independently determine the defect information in the detection signal. Based on the signal phase and waveform characteristics, a method for judging the crack information of eddy current detection based on piecewise feature phase transformation and pattern matching recognition is proposed. As a verification experiment, the cracked specimens of denitrified corrosion heat exchanger tubes with different sizes of artificial cracks and fatigue cracks were fabricated by using the actual aging heat transfer tubes of nuclear power plants. The eddy current test was carried out and the detection signals were identified and processed by the method in this paper. The experimental results show that this method can effectively identify and extract the crack information from the mixed signals and can be used effectively in the crack detection of the denitrified corrosion zone of the actual Cu-Ni alloy heat transfer pipe.
【作者单位】：机械结构强度与振动国家重点实验室(西安交通大学);郑州轻工业学院机电工程学院;
【基金】：国家自然科学基金(51277139、11321062、51577139和11502239) 国家磁约束核聚变(2013GB113005) 郑州轻工业学院2014年博士基金(2014BSJJ001)资助项目
【分类号】：TG115;TK172

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