Effect of gauge volume on strain measurement in rock materials using time-of-flight neutron diffraction

2018 ◽  
Vol 551 ◽  
pp. 283-286
Author(s):  
Jun Abe ◽  
Kotaro Sekine ◽  
Stefanus Harjo ◽  
Takuro Kawasaki ◽  
Kazuya Aizawa
2013 ◽  
Vol 772 ◽  
pp. 33-38 ◽  
Author(s):  
Hiroshi Suzuki ◽  
Jinya Katsuyama ◽  
Koichi Akita

When measuring residual strain distributions of thick structural components such as thick butt-welds using neutron diffraction, it is required to make a gauge volume larger as well as to shorten neutron path length in a material to obtain sufficient diffraction intensity. In this study, neutron attenuation effect on the strain measurement with a large gauge volume was discussed on the normal strain measurement of a thick butt-weld. Influences of neutron attenuation like an apparent strain change were observed, and it was more noticeable when the gauge volume becomes larger. Therefore, the neutron attenuation effect should be considered in the strain measurement with a large gauge volume, and the neutron absorption corrections certainly play an important role for improvement of reliabilities of strain measurement using neutron diffraction with a large gauge volume.


2021 ◽  
Vol 5 (2) ◽  
pp. 12
Author(s):  
Matthew M. Schmitt ◽  
Daniel J. Savage ◽  
James J. Wall ◽  
John D. Yeager ◽  
Chanho Lee ◽  
...  

The US code of Federal Regulations mandates regular inspection of centrifugally cast austenitic stainless steel pipe, commonly used in primary cooling loops in light-water nuclear power plants. These pipes typically have a wall thickness of ~8 cm. Unfortunately, inspection using conventional ultrasonic techniques is not reliable as the microstructure strongly attenuates ultrasonic waves. Work is ongoing to simulate the behavior of acoustic waves in this microstructure and ultimately develop an acoustic inspection method for reactor inspections. In order to account for elastic anisotropy in the material, the texture in the steel was measured as a function of radial distance though the pipe wall. Experiments were conducted on two 10 × 12.7 × 80 mm radial sections of a cast pipe using neutron diffraction scans of 2 mm slices using the HIPPO time-of-flight neutron diffractometer at the Los Alamos Neutron Science Center (LANSCE, Los Alamos, NM, USA). Strong textures dominated by a small number of austenite grains with their (100) direction aligned in the radial direction of the pipe were observed. ODF analysis indicated that up to 70% of the probed volume was occupied by just three single-grain orientations, consistent with grain sizes of almost 1 cm. Texture and phase fraction of both ferrite and austenite phases were measured along the length of the samples. These results will inform the development of a more robust diagnostic tool for regular inspection of this material.


2013 ◽  
Vol 46 (3) ◽  
pp. 628-638 ◽  
Author(s):  
Jan Šaroun ◽  
Joana Rebelo Kornmeier ◽  
Michael Hofmann ◽  
Pavol Mikula ◽  
Miroslav Vrána

Residual strains measured by neutron diffraction near sample boundaries can be biased by the surface effect as a result of incomplete filling of the instrumental gauge volume. This effect is manifested as anomalous shifts of diffraction lines, which can be falsely interpreted as a lattice strain unless appropriate data corrections are made. A new analytical model for the surface effect has been developed, which covers a broad variety of instrumental arrangements, including flat mosaic and bent perfect crystal monochromators, narrow slits, and Soller and radial collimators. This model permits the spurious peak shifts to be predicted quantitatively, and also allows the optimum configuration parameters, such as curvature of a focusing monochromator, which lead to suppression of the surface effect, to be calculated. The model has been thoroughly validated by comparisons with Monte Carlo simulations and experiments on a stress-free calibration sample. Predictions of the model proved to be very accurate, often within the interval of experimental errors, which makes it suitable for use in data analysis.


2017 ◽  
Vol 59 (3) ◽  
pp. 607-612 ◽  
Author(s):  
A. S. Kurlov ◽  
A. I. Gusev ◽  
V. S. Kuznetsov ◽  
I. A. Bobrikov ◽  
A. M. Balagurov ◽  
...  

2006 ◽  
Vol 89 (23) ◽  
pp. 233515
Author(s):  
E. Üstündag ◽  
R. A. Karnesky ◽  
M. R. Daymond ◽  
I. C. Noyan

2006 ◽  
Vol 385-386 ◽  
pp. 1203-1205 ◽  
Author(s):  
Matthias Gutmann ◽  
Winfried Kockelmann ◽  
Laurent Chapon ◽  
Paolo G. Radaelli

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Alberto Cereser ◽  
Markus Strobl ◽  
Stephen A. Hall ◽  
Axel Steuwer ◽  
Ryoji Kiyanagi ◽  
...  

2014 ◽  
Vol 25 (2) ◽  
pp. 025602 ◽  
Author(s):  
H Suzuki ◽  
K Kusunoki ◽  
Y Hatanaka ◽  
T Mukai ◽  
A Tasai ◽  
...  

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