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Title: Neutron transmission simulation of texture in polycrystalline materials

Abstract

The application Sinpol, a novel tool for neutron transmission data analysis, is used to simulate the effect of deformation and recrystallization crystallographic textures in fcc materials. The texture is characterized using an orientation distribution function (ODF), which describes the distribution of crystal orientations over the three-dimensional orientation space. The Sinpol code combines the transmission contribution of each single crystal grain in the ODF to generate neutron transmission patterns through a polycrystalline aggregate. A series of texture components, commonly found in fcc materials, are considered and their neutron transmission calculated for further analysis of experimental data. The effect of grain statistics is investigated and the simulation results on more complex ODF textures are also presented. Finally, the neutron transmission simulations are successfully benchmarked on experimental data recorded on an additive manufactured Inconel 718 specimen.

Authors:
 [1];  [2];  [2];  [2];  [2];  [2]
  1. Univ. of Tennessee, Knoxville, TN (United States). Physics Dept.; Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1569388
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Accepted Manuscript
Journal Name:
Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms
Additional Journal Information:
Journal Volume: 459; Journal Issue: C; Journal ID: ISSN 0168-583X
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE; neutron transmission; single crystal; Bragg-edge; texture; orientation distribution function

Citation Formats

Dessieux, L. L., Stoica, A. D., Bingham, P. R., An, Ke, Frost, M. J., and Bilheux, H. Z. Neutron transmission simulation of texture in polycrystalline materials. United States: N. p., 2019. Web. doi:10.1016/j.nimb.2019.09.010.
Dessieux, L. L., Stoica, A. D., Bingham, P. R., An, Ke, Frost, M. J., & Bilheux, H. Z. Neutron transmission simulation of texture in polycrystalline materials. United States. doi:10.1016/j.nimb.2019.09.010.
Dessieux, L. L., Stoica, A. D., Bingham, P. R., An, Ke, Frost, M. J., and Bilheux, H. Z. Fri . "Neutron transmission simulation of texture in polycrystalline materials". United States. doi:10.1016/j.nimb.2019.09.010.
@article{osti_1569388,
title = {Neutron transmission simulation of texture in polycrystalline materials},
author = {Dessieux, L. L. and Stoica, A. D. and Bingham, P. R. and An, Ke and Frost, M. J. and Bilheux, H. Z.},
abstractNote = {The application Sinpol, a novel tool for neutron transmission data analysis, is used to simulate the effect of deformation and recrystallization crystallographic textures in fcc materials. The texture is characterized using an orientation distribution function (ODF), which describes the distribution of crystal orientations over the three-dimensional orientation space. The Sinpol code combines the transmission contribution of each single crystal grain in the ODF to generate neutron transmission patterns through a polycrystalline aggregate. A series of texture components, commonly found in fcc materials, are considered and their neutron transmission calculated for further analysis of experimental data. The effect of grain statistics is investigated and the simulation results on more complex ODF textures are also presented. Finally, the neutron transmission simulations are successfully benchmarked on experimental data recorded on an additive manufactured Inconel 718 specimen.},
doi = {10.1016/j.nimb.2019.09.010},
journal = {Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms},
number = C,
volume = 459,
place = {United States},
year = {2019},
month = {11}
}

Journal Article:
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This content will become publicly available on November 15, 2020
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