Application of Machine Learning Methods to Neutron Transmission Spectroscopic Imaging for Solid–Liquid Phase Fraction Analysis
Open Access
- 27 June 2021
- journal article
- research article
- Published by MDPI AG in Applied Sciences
- Vol. 11 (13), 5988
- https://doi.org/10.3390/app11135988
Abstract
In neutron transmission spectroscopic imaging, the transmission spectrum of each pixel on a two-dimensional detector is analyzed and the real-space distribution of microscopic information in an object is visualized with a wide field of view by mapping the obtained parameters. In the analysis of the transmission spectrum, since the spectrum can be classified with certain characteristics, it is possible for machine learning methods to be applied. In this study, we selected the subject of solid–liquid phase fraction imaging as the simplest application of the machine learning method. Firstly, liquid and solid transmission spectra have characteristic shapes, so spectrum classification according to their fraction can be carried out. Unsupervised and supervised machine learning analysis methods were tested and evaluated with simulated datasets of solid–liquid spectrum combinations. Then, the established methods were used to perform an analysis with actual measured spectrum datasets. As a result, the solid–liquid interface zone was specified from the solid–liquid phase fraction imaging using machine learning analysis.This publication has 26 references indexed in Scilit:
- Relation between Vickers Hardness and Bragg-Edge Broadening in Quenched Steel Rods Observed by Pulsed Neutron Transmission ImagingMATERIALS TRANSACTIONS, 2015
- Lead–Bismuth Eutectic (LBE): A Coolant Candidate for Gen. IV Advanced Nuclear Reactor ConceptsAdvanced Engineering Materials, 2013
- Two-dimensional Neutron Detector with GEM and its ApplicationsPhysics Procedia, 2012
- A Rietveld-Type Analysis Code for Pulsed Neutron Bragg-Edge Transmission Imaging and Quantitative Evaluation of Texture and Microstructure of a Welded α-Iron PlateMATERIALS TRANSACTIONS, 2011
- Imaging of a spatial distribution of preferred orientation of crystallites by pulsed neutron Bragg edge transmissionJournal of Physics: Conference Series, 2010
- Study on phase transition of Pb–Bi eutectic alloy by neutron transmission spectroscopyJournal of Nuclear Materials, 2010
- Lead–bismuth eutectic recrystallization studies for the Megapie targetJournal of Nuclear Materials, 2005
- Crystallization and relaxation phenomena in the bismuth–lead eutecticJournal of Alloys and Compounds, 2005
- The re-crystallization issue in lead–bismuth technologyJournal of Nuclear Materials, 2004
- Principal component analysisChemometrics and Intelligent Laboratory Systems, 1987