Literature DB >> 18445150

AFM for diagnosis of nanocrystallization of steels in hardening processes.

G Pompeo1, M Girasole, G Longo, A Cricenti, D Bailo, F Ronci, A Maras, M Serracino, P F Moretti.   

Abstract

INTRODUCTION: The aim of this study is to investigate the nanocrystallization of steels caused by the transformation from the austenitic to the martensitic phase induced by a severe plastic deformation (SPD) treatment. In this framework, we applied an air blast shot peening treatment, which is a simple protocol widely used for industrial purposes.
METHODS: AISI 286 and AISI 316 specimens were peened for different times and polished using diamond pastes in order to remove corrugations higher than 1 mum. The characterization of the steel surfaces was performed by atomic force microscopy (AFM) operating in contact mode. Additional EDXD measurements were performed to confirm the phase transition. RESULTS AND DISCUSSION: An AFM-based characterization at nanometric level of the steel surfaces is provided. When the peening exceeds a threshold time that, as expected, depends on the steel composition, a uniform nanostructuration is detected. It is well known that such rearrangement is associated to the growth of a martensitic phase. To date, AFM has been employed in this field only for few applications and to solve specific problems. On the other hand, our results demonstrate that this is a useful technique for the characterization of hardened surfaces, especially when non-destructive sample preparation treatments are required. Moreover, we show that AFM can be a useful tool also for in situ industrial diagnostics of metallic parts.

Entities:  

Year:  2008        PMID: 18445150     DOI: 10.1111/j.1365-2818.2008.01978.x

Source DB:  PubMed          Journal:  J Microsc        ISSN: 0022-2720            Impact factor:   1.758


  1 in total

1.  FC_analysis: a tool for investigating atomic force microscopy maps of force curves.

Authors:  Simone Dinarelli; Marco Girasole; Giovanni Longo
Journal:  BMC Bioinformatics       Date:  2018-07-06       Impact factor: 3.169

  1 in total

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