Study on Limitation Size of Fretting Wear of Inconel 690 Steam Generator Tube
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摘要: 以含微振磨损缺陷的Inconel 690传热管爆破压力为研究对象，开展了含缺陷传热管的高温爆破试验和传热管缺陷尺寸的涡流检验试验，基于正态分布建立了包含不确定度的传热管爆破压力预测模型以及缺陷深度预测模型，并采用直接累加和简化统计方法计算了包含不确定性的传热管爆破压力。结果显示，采用直接累积法同时计入材料性能、爆破压力预测模型、涡流检验的第95百分位最坏情况，可得到较保守的传热管爆破压力预测值。采用简化统计法计入材料性能、爆破压力预测模型、涡流检验的不确定性，可有效降低直接累积误差带来的过保守问题。Abstract: This paper focuses on the burst pressure of Inconel 690 tubes with fretting wear defects. High-temperature burst test and eddy current testing on the defect size of tubes were conducted. Based on the normal distribution, a burst pressure prediction model and a defect depth prediction model with uncertainty are established. The direct cumulative and simplified statistical methods are used to calculate the burst pressure of the tubes with uncertainty. The results show that a more conservative prediction value of the burst pressure can be obtained by using the direct accumulation method to include the material properties, the burst pressure prediction model, and the 95th percentile worst-case scenario of eddy current testing. And, the simplified statistical method is used to take into account the material properties, the burst pressure prediction model and the uncertainty of eddy current detection, which can effectively reduce the over-conservative problem caused by direct accumulation error.
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Key words:
- Heat transfer tube /
- Plugging criteria /
- Fretting wear /
- Limitation size /
- Burst pressure /
- Eddy current testing
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图 1 流变应力的正态分布标准化和正态离差
Figure 1. Standard Normal Distribution and Normal Deviation of Flow Stress
图 4 爆破压力预测结果与爆破试验结果对比
Figure 4. Burst Pressure Prediction Results versus Burst Test Results
图 8 微振磨损涡流检验的线性回归
Figure 8. Linear Regression of Eddy Current Testing of Fretting Wear
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