loading page

Barkhausen noise- and eddy current-based measurements for online detection of deformation-induced martensite during flow forming of metastable austenitic steel AISI 304L
  • +4
  • Julian Rozo Vasquez,
  • Hanigah Kanagarajah,
  • Bahman Arian,
  • Lukas Kersting,
  • Werner Homberg,
  • Ansgar Trächtler,
  • Frank Walther
Julian Rozo Vasquez
Technische Universitat Dortmund Fakultat Maschinenbau

Corresponding Author:[email protected]

Author Profile
Hanigah Kanagarajah
Technische Universitat Dortmund Fakultat Maschinenbau
Author Profile
Bahman Arian
Universitat Paderborn Lehrstuhl fur Umformende und Spanende Fertigungstechnik
Author Profile
Lukas Kersting
Fraunhofer-Institut fur Entwurfstechnik Mechatronik IEM
Author Profile
Werner Homberg
Universitat Paderborn Lehrstuhl fur Umformende und Spanende Fertigungstechnik
Author Profile
Ansgar Trächtler
Fraunhofer-Institut fur Entwurfstechnik Mechatronik IEM
Author Profile
Frank Walther
Technische Universitat Dortmund Fakultat Maschinenbau
Author Profile

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 Barkhausen noise (MBN) and eddy currents (EC), which are suitable for detection of microstructure evolution due to formation of ferromagnetic phases. Nevertheless, the description of the calibration and transformation models of the micromagnetic measurements into quantitative α’-martensite fractions is beyond the scope of this paper. The focus will be put on the qualification of different micromagnetic methods as well as of 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.
13 Aug 2024Submitted to Engineering Reports
16 Aug 2024Submission Checks Completed
16 Aug 2024Assigned to Editor
16 Aug 2024Review(s) Completed, Editorial Evaluation Pending
12 Sep 2024Reviewer(s) Assigned
28 Sep 2024Editorial Decision: Revise Major