scholarly journals Bragg-edge elastic strain tomography forin situsystems from energy-resolved neutron transmission imaging

Author(s):  
J. N. Hendriks ◽  
A. W. T. Gregg ◽  
C. M. Wensrich ◽  
A. S. Tremsin ◽  
T. Shinohara ◽  
...  
Author(s):  
Hiroaki Shishido ◽  
Kazuma Nishimura ◽  
The Dang Vu ◽  
Kazuya Aizawa ◽  
Kenji M Kojima ◽  
...  

2020 ◽  
Vol 6 (4) ◽  
pp. 22
Author(s):  
Beate Pfretzschner ◽  
Thomas Schaupp ◽  
Andreas Hannemann ◽  
Michael Schulz ◽  
Axel Griesche

Hydrogen-charged supermartensitic steel samples were used to systematically investigate imaging artifacts in neutron radiography. Cadmium stencils were placed around the samples to shield the scintillator from excessive neutron radiation and to investigate the influence of the backlight effect. The contribution of scattered neutrons to the total detected intensity was investigated by additionally varying the sample-detector distance and applying a functional correlation between distance and intensity. Furthermore, the influence of the surface roughness on the edge effect due to refraction was investigated.


2018 ◽  
Vol 156 ◽  
pp. 103-112 ◽  
Author(s):  
A. Reid ◽  
I. Martinez ◽  
M. Marshall ◽  
T. Minniti ◽  
S. Kabra ◽  
...  

2020 ◽  
Vol 60 ◽  
Author(s):  
Riya Aggarwal ◽  
Mike Meylan ◽  
Bishnu Lamichhane ◽  
Chris Wensrich

A number of techniques and applications in neutron imaging that exploit wavelength resolved measurements have been developed recently. One such technique, known as energy resolved neutron imaging, receives ample attention because of its capability to not only visualise but to also quantify physical attributes with spatial resolution. The objective of this article is to develop a reconstruction algorithm for elastic strain tomography from Bragg edge neutron transmission strain images obtained from a pulsed neutron beam with high resolution. This technique has several advantages over those using monochromatic neutron beams from continuous sources; for example, finer wavelength resolution. In contrast to the conventional radon based computed tomography, wherein neutron transmission revolves around the inversion of the longitudinal ray transform that has uniqueness issues, the reconstruction in the proposed algorithm is based on the least squares approach, constrained by an equilibrium formulated through the finite element method. References B. Abbey, S. Y. Zhang, W. J. J. Vorster, and A. M. Korsunsky. Feasibility study of neutron strain tomography. Proc. Eng., 1\penalty 0 (1):185–188, 2009. doi:10.1016/j.proeng.2009.06.043. R. Aggarwal, M. H. Meylan, B. P. Lamichhane, and C. M. Wensrich. Energy resolved neutron imaging for strain reconstruction using the finite element method. J. Imag., 6(3):13, 2020. doi:10.3390/jimaging6030013. J. N. Hendriks, A. W. T. Gregg, C. M. Wensrich, A. S. Tremsin, T. Shinohara, M. Meylan, E. H. Kisi, V. Luzin, and O. Kirsten. Bragg-edge elastic strain tomography for in situ systems from energy-resolved neutron transmission imaging. Phys. Rev. Mat., 1:053802, 2017. doi:10.1103/PhysRevMaterials.1.053802. C. Jidling, J. Hendriks, N. Wahlstrom, A. Gregg, T. B. Schon, C. Wensrich, and A. Wills. Probabilistic modelling and reconstruction of strain. Nuc. Inst. Meth. Phys. Res. B, pages 141–155, 2018. doi:10.1016/j.nimb.2018.08.051. W. R. B. Lionheart and P. J. Withers. Diffraction tomography of strain. Inv. Prob., 31:045005, 2015. doi:10.1088/0266-5611/31/4/045005. C. E. Rasmussen and C. K. I. Williams. Gaussian processes for machine learning. MIT Press, 2006. URL https://mitpress.mit.edu/books/gaussian-processes-machine-learning. C. M. Wensrich, E. Kisi, V. Luzin, and O. Kirstein. Non-contact measurement of the stress within granular materials via neutron diffraction. AIP Conf. Proc., 1542:441–444, 2013. doi:10.1063/1.4811962. R. Woracek, J. Santisteban, A. Fedrigo, and M. Strobl. Diffraction in neutron imaging–-a review. Nuc. Inst. Meth. Phys. Res. A, 878:141–158, 2018. doi:10.1016/j.nima.2017.07.040.


2014 ◽  
Author(s):  
Eric Lukosi ◽  
Elan Herrera ◽  
Ashley C. Stowe ◽  
Robert Milburn ◽  
Dylan Richardson ◽  
...  

Author(s):  
Phillip Kerr ◽  
Nerine Cherepy ◽  
Jennifer Church ◽  
Gary Guethlein ◽  
James Hall ◽  
...  

AIP Advances ◽  
2018 ◽  
Vol 8 (1) ◽  
pp. 015205 ◽  
Author(s):  
K. Ogren ◽  
J. Nattress ◽  
I. Jovanovic

2015 ◽  
Vol 56 (8) ◽  
pp. 1147-1152 ◽  
Author(s):  
Hirotaka Sato ◽  
Tomoya Sato ◽  
Yoshinori Shiota ◽  
Takashi Kamiyama ◽  
Anton S. Tremsin ◽  
...  

2021 ◽  
Author(s):  
P Kerr ◽  
N Cherepy ◽  
J Hall ◽  
J Church ◽  
G Guethlein ◽  
...  

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