Eddy Current Data Analysis and Simulation for Wear Indications within Structural Supports of Nuclear Power Plant Steam Generator Tubes
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摘要: 研究蒸汽发生器传热管支撑结构处磨损的涡流检测并讨论三角形磨损及四边形磨损的涡流数据分析方法,同时应用涡流数据分析方法及模型计算对磨损的深度、长度、位置及体积损失量进行测量或计算,最后利用CIVA仿真平台对3种不同伤深的磨损进行仿真模拟研究。结果表明,涡流信号对支撑结构处的磨损形态有较好的指示。即可通过低频绝对通道混频Lissajous图的Y轴分量判断磨损的具体形态;在此基础上通过建立的计算模型并结合数据分析,计算磨损缺陷的体积损失量。CIVA仿真模拟结果与实际检测数据相符,当缺陷为规则、标准的人工缺陷时,模拟数据的幅值-伤深曲线为线性方程。Abstract: This paper studied the eddy current inspection for wear indications within structural supports of nuclear power plant steam generator tubes and discussed the data analysis method of two different kinds of wear mechanisms. Meanwhile, We measured or calculated the depth, length, location and volume loss of wear indication through eddy current data analysis method and model computation. Three different depth of wear indication were studied using CIVA simulation platform. It was found that eddy current signals wound give a good prediction for the morphology of wear, and the volume loss of the wear indication could be calculate through the combination of model computation and data analysis method. CIVA simulation results were agreed with the experimental data, the simulated data amplitude-depth curve was a linear equation when the flaws were regular and standard artificial defects.
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Key words:
- Steam generator(SG) tubes /
- Wear /
- Eddy current inspection /
- CIVA Simulation
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