This is a page describing data taken during an experiment at the ISIS Neutron and Muon Source. Information about the ISIS Neutron and Muon Source can be found at https://www.isis.stfc.ac.uk.
Development of High-Resolution Neutron Transmission Strain Mapping: Comparison and Validation using Neutron Diffraction
Abstract: High-resolution neutron transmission strain mapping is under development at ISIS to be implemented at IMAT, ENGIN-X and the newly proposed ε-MAP instrument. Transmission data obtained on IMAT using a microchannel plate (MCP) detector have been analysed using different Bragg edge analysis methods, and started generating strain information. Key instrumental issues especially for low-attenuating samples, can be addressed with diffraction and transmission measurements on ENGIN-X on aluminium samples with well-defined strain profiles, owing to ENGIN-X’s well-characterised strain analysis capabilities. The objective of this technical study is to validate strain results derived from neutron transmission analysis, determine the accuracy and robustness of different Bragg edge analysis software tools, and evaluate and minimise the required counting times.
Principal Investigator: Professor Michael Fitzpatrick
Local Contact: Dr Saurabh Kabra
Experimenter: Dr Winfried Kockelmann
Experimenter: Dr Ranggi Ramadhan
DOI: 10.5286/ISIS.E.RB1720411
ISIS Experiment Number: RB1720411
Part DOI | Instrument | Public release date | Download Link |
---|---|---|---|
10.5286/ISIS.E.87813178 | ENGINX | 13 October 2020 | Download |
Publisher: STFC ISIS Neutron and Muon Source
Data format: RAW/Nexus
Select the data format above to find
out more about it.
Data Citation
The recommended format for citing this dataset in a research
publication is as:
[author], [date], [title], [publisher],
[doi]
For Example:
Professor Michael Fitzpatrick et al; (2017): Development of High-Resolution Neutron Transmission Strain Mapping: Comparison and Validation using Neutron Diffraction, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1720411
Data is released under the CC-BY-4.0 license.