基于MBN的RPV钢辐照脆化检测仪器的传感器设计

Design of sensor for radiation embrittlement detectionof RPV steel based on MBN

摘要:

辐照损伤是影响反应堆压力容器(RPV, Reactor Pressure Vessel)使用寿命的重要因素,为了提升磁巴克豪森噪声(MBN, Magnetic Barkhausen Noise)信号检测仪器对辐照损伤程度的评估性能,本文设计一种小型化MBN传感器。该传感器是由H型硅钢片磁轭、激励线圈、检测线圈和工型锰锌铁氧体构成,可以使检测仪器获得更为稳定的MBN信号,从而对RPV的辐照损伤进行有效评估。此外,利用电磁仿真软件ANSYS Maxwell对励磁模块进行了仿真与分析,得出了试件的有效磁化区域,并通过对RPV试样测量数据结果分析,最终确定了最佳激励信号的幅值和频率,提高了巴克豪森检测仪器的实用性。

关键词:巴克豪森噪声;传感器;反应堆压力容器;Maxwell仿真;特征值提取

Abstract:

Radiation damage is an important factor affecting the life of Reactor Pressure Vessel (RPV). To improve the evaluation performance of Magnetic Barkhausen Noise (MBN) signal detection instrument on the degree of radiation damage, this paper designs a Miniaturized MBN sensor. The sensor is composed of H-shaped silicon steel sheet yoke, excitation coil, detection coil and I-type manganese-zinc ferrite, which can enable the detection instrument to obtain a more stable MBN signal, so as to effectively evaluate the radiation damage of RPV. In addition, the excitation module is simulated and analyzed using the electromagnetic simulation software ANSYS Maxwell, and the effective magnetization area of the specimen is obtained. Finally, through the analysis of the measurement data of the RPV sample, the amplitude and frequency of the optimal excitation signal are determined, which improves the practicability of the MBN detection instrument.

Key words:Barkhausen noise; sensor; reactor pressure vessel; Maxwell simulation; Eigenvalue extraction