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Grain size effects on NiTi shape memory alloy fatigue crack growth

Published online by Cambridge University Press:  04 December 2017

William S. LePage Open the ORCID record for William S. LePage [Opens in a new window] ,
Aslan Ahadi ,
William C. Lenthe ,
Qing-Ping Sun ,
Tresa M. Pollock ,
John A. Shaw  and
Samantha H. Daly
William S. LePage
Affiliation:
Department of Mechanical Engineering, University of Michigan, Ann Arbor, Michigan 48109, USA
Aslan Ahadi
Affiliation:
International Center for Young Scientists, National Institute for Materials Science (NIMS), Tsukuba, Ibaraki 305-0047, Japan
William C. Lenthe
Affiliation:
Materials Science and Engineering, University of California, Santa Barbara, California 93106, USA
Qing-Ping Sun
Affiliation:
Department of Mechanical and Aerospace Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong
Tresa M. Pollock
Affiliation:
Materials Science and Engineering, University of California, Santa Barbara, California 93106, USA
John A. Shaw
Affiliation:
Department of Aerospace Engineering, University of Michigan, Ann Arbor, Michigan 48109, USA
Samantha H. Daly*
Affiliation:
Department of Mechanical Engineering, University of California, Santa Barbara, California 93106, USA
*
a) Address all correspondence to this author. e-mail: samdaly@engineering.ucsb.edu
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Abstract

Fatigue cracking in polycrystalline NiTi was investigated using a multiscale experimental framework for average grain sizes (GS) from 10 to 1500 nm for the first time. Macroscopic fatigue crack growth rates, measured by optical digital image correlation, were connected to microscopic crack opening and closing displacements, measured by scanning electron microscope DIC (SEM-DIC) using a high-precision external SEM scan controller. Among all grain sizes, the 1500 nm GS sample exhibited the slowest crack growth rate at the macroscale, and the largest crack opening level (stress intensity at first crack opening) and minimum crack opening displacements at the microscale. Smaller GS samples (10, 18, 42, and 80 nm) exhibited nonmonotonic trends in their fatigue performance, yet the correlation was strong between macroscale and microscale behaviors for each GS. The samples that exhibited the fastest crack growth rates (42 and 80 nm GS) showed a small crack opening level and the largest crack opening displacements. The irregular trends in fatigue performance across the nanocrystalline GS samples were consistent with nonmonotonic values in the elastic modulus reported previously, both of which may be related to the presence of residual martensite only evident in the small GS samples (10 and 18 nm).

Keywords

fatiguenanostructurescanning electron microscopy (SEM)
Type
Invited Feature Paper
Information
Journal of Materials Research , Volume 33 , Issue 2 , 29 January 2018 , pp. 91 - 107
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Copyright
Copyright © Materials Research Society 2017 

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Footnotes

Contributing Editor: Jürgen Eckert

This paper has been selected as an Invited Feature Paper.

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