Wilson John W, Jolfaei Mohsen A, Zhou Lei, Slater Carl, Davis Claire, Peyton Anthony J
Department of Electrical and Electronic Engineering, University of Manchester, Manchester M13 9PL, UK.
Warwick Manufacturing Group, University of Warwick, Coventry CV4 7AL, UK.
Sensors (Basel). 2025 Aug 19;25(16):5158. doi: 10.3390/s25165158.
The continuous annealing process is widely used in the production of advanced high-strength steels. However, to tightly regulate the mechanical properties of the steel, precise control of processing parameters is needed. Although some techniques are available to monitor the mechanical properties of the steel on entry and exit to the furnace, monitoring the evolving microstructure of the steel through installation of sensors in the annealing line is extremely challenging due to the high temperature, high speed of the steel strip and limited space in the furnace. This study presents the development and validation of a multifrequency electromagnetic sensor system for real-time monitoring of microstructural transformations in steel during thermal cycling, intended for deployment in a continuous annealing line. Experiments were conducted on austenitic stainless steel to study the signal response to an increase in resistivity without a change in magnetic permeability. Pure nickel was tested to investigate the response to a change in magnetic permeability and the ferromagnetic-to-paramagnetic transition at its Curie temperature. A ferritic stainless steel was also tested to assess the performance of the system for high-temperature ferromagnetic materials and a higher-temperature ferromagnetic-to-paramagnetic transition. The tests indicate a strong response to material resistivity and permeability changes, with complementary information from different frequencies. Test results are supplemented by a finite element modelling study into the effect of a change in frequency and permeability on sensor response, with a discussion on the implications of experimental and modelling results for future applications. The results show that the developed system has the potential to characterise thermally induced changes in steels, establishing proof of concept for non-destructive, high-temperature electromagnetic sensing in steel processing and setting the foundation for further industrial deployment in phase and recrystallisation monitoring.
连续退火工艺在先进高强度钢的生产中被广泛应用。然而,为了严格控制钢材的机械性能,需要精确控制加工参数。尽管有一些技术可用于监测钢材进出加热炉时的机械性能,但由于钢带温度高、速度快且加热炉内空间有限,通过在退火生产线上安装传感器来监测钢材不断演变的微观结构极具挑战性。本研究介绍了一种多频电磁传感器系统的开发与验证,该系统用于在热循环过程中实时监测钢材的微观结构转变,旨在部署在连续退火生产线上。对奥氏体不锈钢进行了实验,以研究在磁导率不变的情况下电阻率增加时的信号响应。对纯镍进行了测试,以研究其对磁导率变化以及在居里温度下从铁磁到顺磁转变的响应。还对铁素体不锈钢进行了测试,以评估该系统对高温铁磁材料以及更高温度下从铁磁到顺磁转变的性能。测试表明,该系统对材料电阻率和磁导率的变化有强烈响应,并能从不同频率获取补充信息。通过有限元建模研究频率和磁导率变化对传感器响应的影响,对测试结果进行了补充,并讨论了实验和建模结果对未来应用的意义。结果表明,所开发的系统有潜力表征钢材中的热致变化,为钢材加工中的无损高温电磁传感建立了概念验证,并为在相变和再结晶监测中的进一步工业应用奠定了基础。