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In-situ calibration of permanent magnet flow meters in PFBR using noise analysis technique

机译:利用噪声分析技术现场校准PFBR中的永磁流量计

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In Fast Breeder Reactor sodium circuits, permanent magnet flow meters (PMFM) are extensively used to measure the liquid sodium flow rate. The performance of PMFM can degrade with respect to time due to various reasons. This degradation results in reduction in output voltage and affects flow meter stability. The distortion of the magnetic field in the large diameter flow meters makes its characteristics nonlinear. Further, the performance of the flow meter is also affected by vibrations, shocks, temperature and change of reluctance within the magnetic circuit. Hence, it is desirable to calibrate the PMFM at periodic time intervals for ensuring accuracy and stability. However, it is very difficult and almost impossible to calibrate large size flow meters once installed in the system under actual flow conditions in a sodium test loop. Therefore, it is necessary to calibrate the flow meter in-situ without disturbing its normal operating conditions. Experiments were carried out in different sodium loops in Fast Reactor Technology Group (FRTG) and Fast Breeder Test Reactor (FBTR) with permanent magnet flow meters of different sizes to develop an in-situ calibration procedure. Cross-correlation technique is studied and the flow rate is estimated from the transit time with a deviation of ± 5.5%, which is comparable with that of calibration of the flow meter in actual sodium test loop. In this paper, in-situ calibration of PMFM is discussed with experimental details, data acquisition, cross-correlation technique and the results obtained.
机译:在快速增殖反应堆钠回路中,永磁流量计(PMFM)广泛用于测量液体钠的流量。由于各种原因,PMFM的性能可能会随时间下降。这种降级会导致输出电压降低,并影响流量计的稳定性。大直径流量计中的磁场畸变使其特性呈非线性。此外,流量计的性能还受到磁路内的振动,冲击,温度和磁阻变化的影响。因此,期望以周期性的时间间隔校准PMFM,以确保准确性和稳定性。但是,一旦在钠流量测试回路中的实际流量条件下将大型流量计安装在系统中后,就很难校准它,几乎是不可能的。因此,必须在不影响其正常工作条件的情况下就地校准流量计。在快速反应堆技术组(FRTG)和快速增殖试验试验堆(FBTR)的不同钠回路中,使用大小不同的永磁流量计进行了实验,以开发现场校准程序。研究了互相关技术,并根据渡越时间估算了流量,偏差为±5.5%,这与实际钠测试回路中流量计的校准值相当。本文通过实验细节,数据采集,互相关技术和获得的结果讨论了PMFM的现场校准。

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