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An alternative neutron diffractometer performance for strain/stress measurements

Published online by Cambridge University Press:  28 May 2020

Pavol Mikula Open the ORCID record for Pavol Mikula [Opens in a new window] ,
Jan Saroun ,
Vasyl Ryukhtin  and
James Stammers
Pavol Mikula*
Affiliation:
Neutron Physics Department, Nuclear Physics Institute Czech Academy of Sciences, Rez, Czech Republic
Jan Saroun
Affiliation:
Neutron Physics Department, Nuclear Physics Institute Czech Academy of Sciences, Rez, Czech Republic
Vasyl Ryukhtin
Affiliation:
Neutron Physics Department, Nuclear Physics Institute Czech Academy of Sciences, Rez, Czech Republic
James Stammers
Affiliation:
Neutron Physics Department, Nuclear Physics Institute Czech Academy of Sciences, Rez, Czech Republic
*
a)Author to whom correspondence should be addressed. Electronic mail: [email protected]
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Abstract

An alternative neutron diffractometer performance, which documents the feasibility of using a high-resolution three-axis neutron diffractometer for elastic and plastic deformation studies of bulk metallic polycrystalline samples, is presented. Contrary to the conventional double-axis setting, the suggested alternative consists of an unconventional three-axis set-up employing a bent perfect crystal monochromator and an analyzer with a polycrystalline sample in between. Though the alternative is, for measurements, much more time-consuming, its sensitivity to the change of the diffraction angle of the sample is, however, substantially higher and permits also plastic deformation studies on the basis of analysis of the diffraction line profiles. Moreover, much larger widths (up to 10 mm) of the irradiated gauge volumes can be investigated when just slightly affecting the angular resolution properties of the experimental setting.

Keywords

neutron diffractionBragg diffraction opticsstrains
Type
Technical Article
Information
Powder Diffraction , Volume 35 , Issue 3 , September 2020 , pp. 185 - 189
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Copyright
Copyright © 2020 International Centre for Diffraction Data

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