期刊论文详细信息
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING 卷:667
Assessment of mechanical property gradients after impact-based surface treatment: application to pure α-iron
Article
Tumbajoy-Spinel, David1  Descartes, Sylvie2  Bergheau, Jean-Michel3  Lacaille, Victor1,3,4  Guillonneau, Gaylord5,6  Michler, Johann5  Kermouche, Guillaume1 
[1] Univ Lyon, Ecole Mines St Etienne, CNRS, UMR5307,LGF, F-42023 St Etienne, France
[2] Univ Lyon, INSA Lyon, CNRS, UMR5259,LaMCoS, F-69621 Villeurbanne, France
[3] Univ Lyon, ENISE, CNRS, UMR5513,LTDS, F-42023 St Etienne, France
[4] Winoa, 528 Ave Savoie,BP3, F-38570 Le Cheylas, France
[5] Empa, Swiss Fed Labs Mat Sci & Technol, Lab Mech Mat & Nanostruct, Feuerwerkerstr 39, CH-3602 Thun, Switzerland
[6] Univ Lyon, Ecole Cent Lyon, CNRS, UMR5513,LTDS, F-69134 Ecully, France
关键词: Nano-indentation;    In situ micro-pillar compression;    Mechanical property gradient;    Mechanical surface treatment;    Tribologically Transformed Surface (TTS);    Iron;   
DOI  :  10.1016/j.msea.2016.04.059
来源: Elsevier
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【 摘 要 】

Mechanical surface treatments are known for their ability to improve material resistance to abrasive wear and local fatigue crack microstructure of the home-made crack propagation. These treatments are based on repeated contact loadings which create large plastic strains in the near-surface that can induce a local grain refinement. In this case, a significant increase in the near-surface local mechanical properties is thus usually observed. In this paper, nano-mechanical tests are used to quantify the mechanical property gradient in the near-surface of a purity-controlled alpha-iron after an impact-based treatment. A methodology based on the combination of two different techniques is proposed: nano-indentation and in-situ micro-pillar compression. The resulting in-depth mechanical properties gradient is compared to the average grain size measured by EBSD. A positive relationship with the well-known Hall-Fetch effect is observed. (C) 2016 Elsevier B.V. All rights reserved.

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