Long-term stability of laser processed reference samples for grinding burn detection with Barkhausen noiseShow others and affiliations
2025 (English)In: NDT & E international, ISSN 0963-8695, E-ISSN 1879-1174, Vol. 155, article id 103441Article in journal (Refereed) Published
Abstract [en]
Barkhausen noise (BN) is industrially relevant quality control method which is used for process control of i.e. grinding. Similarly to any non-destructive testing measurement also BN measurement requires reference samples. Previously, laser irradiation method with optical pyrometer control was found to be an effective method to produce controlled and reproducible heating effect to metal surfaces. In this study, the long-term stability and changes in the laser processed reference samples were inspected. During the long-term stability survey, certain guidelines which are helpful for preparing the reference samples and evaluating the long-term usability of them were noticed. It was found that the sample initial structure should be as stable as possible prior laser processing. One key finding was that carburized, case-hardened samples are unstable for reference samples since the retained austenite decomposition over time may affect the BN signal levels making these samples unsuitable for reliable long-term use. In addition, the laser irradiation temperature needs to be optimized to produce significant change to the BN signal level. However, too high temperature would produce too altered area compared to production which might observe more easily mechanical effects from the dynamical use with BN sensors.
Place, publisher, year, edition, pages
Elsevier Ltd , 2025. Vol. 155, article id 103441
Keywords [en]
Barkhausen noise, Laser heating, Long-term stability, Non-destructive testing, Quality control, Reference samples, Thermal damage, Computer control, Damage detection, Laser beam machining, Laser materials processing, Statistical process control, Control methods, Grinding burn, Long term stability, Noise measurements, Noise signals, Non destructive testing, Reference sample, Signal level, Model predictive control
National Category
Manufacturing, Surface and Joining Technology
Identifiers
URN: urn:nbn:se:ri:diva-79381DOI: 10.1016/j.ndteint.2025.103441Scopus ID: 2-s2.0-105006692502OAI: oai:DiVA.org:ri-79381DiVA, id: diva2:2019210
Note
Article; Granskad
Support of TEKES for the NOVEBARK research project, Business Finland: \u00C4lyk\u00E4s valmistus ekosysteemiss\u00E4- and Research council of Finland BARFUME -project (grant number: 338954 ) are gratefully acknowledged.
2025-12-052025-12-052025-12-22Bibliographically approved