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Title: Load partitioning between the bcc-iron matrix and NiAl-type precipitates in a ferritic alloy on multiple length scales

Journal Article · · Scientific Reports
DOI:https://doi.org/10.1038/srep23137· OSTI ID:1250417
 [1];  [1];  [2];  [2];  [1];  [1];  [1];  [1]
  1. Univ. of Tennessee, Knoxville, TN (United States)
  2. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

Our understanding of load sharing among constituent phases aids us in designing mechanical properties of multiphase materials. We investigate load partitioning between the body-centered-cubic iron matrix and NiAl-type precipitates in a ferritic alloy during uniaxial tensile tests at 364 and 506 °C on multiple length scales by in situ neutron diffraction and crystal plasticity finite element modeling. Our findings show that the macroscopic load-transfer efficiency is not as high as that predicted by the Eshelby model; moreover, it depends on the matrix strain-hardening behavior. We also explain the grain-level anisotropic load-partitioning behavior by considering the plastic anisotropy of the matrix and elastic anisotropy of precipitates. We further demonstrate that the partitioned load on NiAl-type precipitates relaxes at 506 °C, most likely through thermally-activated dislocation rearrangement on the microscopic scale. Finally, this study contributes to further understanding of load-partitioning characteristics in multiphase materials.

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Basic Energy Sciences (BES)
Grant/Contract Number:
AC05-00OR22725; AC52-06NA25396; 09NT0008089; FE0005868; FE0011194; FE0024054
OSTI ID:
1250417
Alternate ID(s):
OSTI ID: 1304706
Report Number(s):
LA-UR-15-21360
Journal Information:
Scientific Reports, Vol. 6; ISSN 2045-2322
Publisher:
Nature Publishing GroupCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 6 works
Citation information provided by
Web of Science

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