Barkhausen Noise- and Eddy Current-Based Measurements for Online Detection of Deformation-Induced Martensite During Flow Forming of Metastable Austenitic Steel AISI 304L

IF 2 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Engineering reports : open access Pub Date : 2024-12-07 DOI:10.1002/eng2.13070
Julian Rozo Vasquez, Hanigah Kanagarajah, Bahman Arian, Lukas Kersting, Werner Homberg, Ansgar Trächtler, Frank Walther
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Abstract

This paper deals with micromagnetic measurements for online detection of strain-induced α′-martensite during plastic deformation of metastable austenitic steel AISI 304L. The operating principles of the sensors are magnetic Barkhausen noise (MBN) and eddy currents (EC), which are suitable for detection of microstructure evolution due to formation of ferromagnetic phases. The focus of this study was put on the qualification of different micromagnetic techniques and different measurement systems under conditions similar to the real ones during production, which is crucial for implementation of a property-controlled flow forming process. The investigation was carried out on tubular specimens produced by flow forming, which have different content of α′-martensite. To characterize the sensitivity of the sensors, different contact conditions between sensors and workpieces were reproduced. MBN sensors are suitable for detecting amount of α′-martensite, but the measurements are affected by the surface roughness. This entails that the calibration models for MBN sensors must take account of these effects. EC sensors show a closer match with the amount of α′-martensite without having major affectation by other effects.

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基于Barkhausen噪声和涡流的亚稳奥氏体钢流动成形过程变形诱发马氏体在线检测
本文研究了微磁在线检测亚稳奥氏体钢AISI 304L塑性变形过程中应变诱导α′-马氏体的方法。传感器的工作原理是磁巴克豪森噪声(MBN)和涡流(EC),适用于检测铁磁相形成引起的微观结构演变。本研究的重点是在与实际生产条件相似的条件下,对不同的微磁技术和不同的测量系统进行鉴定,这对于实现物性控制的流动成形过程至关重要。对流动成形的管状试样进行了研究,得到了不同含量的α′-马氏体。为了表征传感器的灵敏度,再现了传感器与工件之间不同的接触条件。MBN传感器适用于检测α′-马氏体的量,但测量结果受表面粗糙度的影响。这就要求MBN传感器的校准模型必须考虑到这些影响。EC传感器与α′-马氏体含量的匹配更接近,且不受其他因素的影响。
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审稿时长
19 weeks
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