• Medientyp: E-Artikel
  • Titel: Impact of the thermomechanical load on subsurface phase transformations during cryogenic turning of metastable austenitic steels
  • Beteiligte: Hotz, Hendrik; Kirsch, Benjamin; Aurich, Jan C.
  • Erschienen: Springer Science and Business Media LLC, 2021
  • Erschienen in: Journal of Intelligent Manufacturing, 32 (2021) 3, Seite 877-894
  • Sprache: Englisch
  • DOI: 10.1007/s10845-020-01626-6
  • ISSN: 0956-5515; 1572-8145
  • Schlagwörter: Artificial Intelligence ; Industrial and Manufacturing Engineering ; Software
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  • Beschreibung: <jats:title>Abstract</jats:title><jats:p>When machining metastable austenitic stainless steel with cryogenic cooling, a deformation-induced phase transformation from γ-austenite to α′-martensite can be realized in the workpiece subsurface. This leads to a higher microhardness and thus improved fatigue and wear resistance. A parametric and a non-parametric model were developed in order to investigate the correlation between the thermomechanical load in the workpiece subsurface and the resulting α′-martensite content. It was demonstrated that increasing passive forces and cutting forces promoted the deformation-induced phase transformation, while increasing temperatures had an inhibiting effect. The feed force had no significant influence on the α′-martensite content. With the proposed models it is now possible to estimate the α′-martensite content during cryogenic turning by means of in-situ measurement of process forces and temperatures.</jats:p>