基于磁记忆技术的热处理回火温度检测

Test of tempering temperature based on magnetic memory technology

研究了45钢圆棒状试样在不同回火条件下的力学性能、磁记忆信号空间分布及其斜率随应力的变化关系,建立了基于磁记忆信号分布梯度|k|和特征磁记忆参量的回火工艺质量和材料性能的检测模型。结果表明,在弹性应力范围内,拉伸磁记忆参量(D)、磁记忆信号梯度都与回火温度具有近似线性关系。利用拉伸磁记忆参量和磁信号分布梯度的平均值,采用多参量综合判定方法,可实现对材料回火温度的准确测定,进而实现对材料力学性能的精确评价。

Mechanical properties, spatial distribution of magnetic memory signal and its slope change with stress of 45 steel round bar specimen under different tempering conditions were studied. The testing models for testing tempering process quality and material properties were established based on the magnetic memory signal distribution gradient I kl and the magnetic memory characteristic parameter. The results show that the tensile magnetic memory parameter D and the magnetic memory signal gradient are approximately linearly related to the tempering temperature in the range of elastic stress. The tempering temperature of the material can be predicted precisely by integrated approach of multi-parameter method using the D and magnetic signal gradient distribution average value as parameters, and then the mechanical properties of the ferromagnetic materials specimen can be accurately evaluated.