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Omori NE, Bobitan AD, Vamvakeros A, Beale AM, Jacques SDM. Recent developments in X-ray diffraction/scattering computed tomography for materials science. PHILOSOPHICAL TRANSACTIONS. SERIES A, MATHEMATICAL, PHYSICAL, AND ENGINEERING SCIENCES 2023; 381:20220350. [PMID: 37691470 PMCID: PMC10493554 DOI: 10.1098/rsta.2022.0350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 07/17/2023] [Indexed: 09/12/2023]
Abstract
X-ray diffraction/scattering computed tomography (XDS-CT) methods are a non-destructive class of chemical imaging techniques that have the capacity to provide reconstructions of sample cross-sections with spatially resolved chemical information. While X-ray diffraction CT (XRD-CT) is the most well-established method, recent advances in instrumentation and data reconstruction have seen greater use of related techniques like small angle X-ray scattering CT and pair distribution function CT. Additionally, the adoption of machine learning techniques for tomographic reconstruction and data analysis are fundamentally disrupting how XDS-CT data is processed. The following narrative review highlights recent developments and applications of XDS-CT with a focus on studies in the last five years. This article is part of the theme issue 'Exploring the length scales, timescales and chemistry of challenging materials (Part 2)'.
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Affiliation(s)
- Naomi E. Omori
- Finden Limited, Merchant House, 5 East St Helens Street,Abingdon OX14 5EG, UK
| | - Antonia D. Bobitan
- Finden Limited, Merchant House, 5 East St Helens Street,Abingdon OX14 5EG, UK
- Department of Chemistry, University College London, 20 Gordon Street, London WC1H 0AJ, UK
- Research Complex at Harwell, Rutherford Appleton Laboratory, Harwell Science and Innovation Campus, Didcot, Oxon OX11 0FA, UK
| | - Antonis Vamvakeros
- Finden Limited, Merchant House, 5 East St Helens Street,Abingdon OX14 5EG, UK
- Dyson School of Design Engineering, Imperial College London, London SW7 2DB, UK
| | - Andrew M. Beale
- Finden Limited, Merchant House, 5 East St Helens Street,Abingdon OX14 5EG, UK
- Department of Chemistry, University College London, 20 Gordon Street, London WC1H 0AJ, UK
- Research Complex at Harwell, Rutherford Appleton Laboratory, Harwell Science and Innovation Campus, Didcot, Oxon OX11 0FA, UK
| | - Simon D. M. Jacques
- Finden Limited, Merchant House, 5 East St Helens Street,Abingdon OX14 5EG, UK
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Bakirov B, Smirnova V, Kichanov S, Shaykhutdinova E, Murashev M, Kozlenko D, Sitdikov A. Structural Features of the Fragments from Cast Iron Cauldrons of the Medieval Golden Horde: Neutron Tomography Data. J Imaging 2023; 9:jimaging9050097. [PMID: 37233316 DOI: 10.3390/jimaging9050097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 04/24/2023] [Accepted: 05/08/2023] [Indexed: 05/27/2023] Open
Abstract
The spatial arrangement of the internal pores inside several fragments of ancient cast iron cauldrons related to the medieval Golden Horde period was studied using the neutron tomography method. The high neutron penetration into a cast iron material provides sufficient data for detailed analysis of the three-dimensional imaging data. The size, elongation, and orientation distributions of the observed internal pores were obtained. As discussed, the imaging and quantitative analytical data are considered structural markers for the location of cast iron foundries, as well as a feature of the medieval casting process.
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Affiliation(s)
- Bulat Bakirov
- Frank Laboratory of Neutron Physics, Joint Institute for Nuclear Research, 141980 Dubna, Russia
- Institute of Physics, Kazan Federal University, 420008 Kazan, Russia
| | - Veronica Smirnova
- Frank Laboratory of Neutron Physics, Joint Institute for Nuclear Research, 141980 Dubna, Russia
| | - Sergey Kichanov
- Frank Laboratory of Neutron Physics, Joint Institute for Nuclear Research, 141980 Dubna, Russia
| | - Eugenia Shaykhutdinova
- Institute of Physics, Kazan Federal University, 420008 Kazan, Russia
- Institute of Archeology Named after A. Kh. Khalikov, Tatarstan Academy of Sciences, 420012 Kazan, Russia
- Institute of Aviation, Land Transportation and Power Engineering, Kazan National Research Technical University Named after A. N.Tupolev, 420111 Kazan, Russia
| | - Mikhail Murashev
- National Research Center "Kurchatov Institute", 123098 Moscow, Russia
| | - Denis Kozlenko
- Frank Laboratory of Neutron Physics, Joint Institute for Nuclear Research, 141980 Dubna, Russia
| | - Ayrat Sitdikov
- Institute of Physics, Kazan Federal University, 420008 Kazan, Russia
- Institute of Archeology Named after A. Kh. Khalikov, Tatarstan Academy of Sciences, 420012 Kazan, Russia
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Hu W, Zhang G, Zhang Y, Tuo X. A review of neutron detection using organic scintillators. NUCLEAR ENGINEERING AND TECHNOLOGY 2022. [DOI: 10.1016/j.net.2022.12.035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
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Pore Segmentation Techniques for Low-Resolution Data: Application to the Neutron Tomography Data of Cement Materials. J Imaging 2022; 8:jimaging8090242. [PMID: 36135407 PMCID: PMC9505919 DOI: 10.3390/jimaging8090242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2022] [Revised: 08/25/2022] [Accepted: 09/02/2022] [Indexed: 11/29/2022] Open
Abstract
The development of neutron imaging facilities provides a growing range of applications in different research fields. The significance of the obtained structural information, among others, depends on the reliability of phase segmentation. We focused on the problem of pore segmentation in low-resolution images and tomography data, taking into consideration possible image corruption in the neutron tomography experiment. Two pore segmentation techniques are proposed. They are the binarization of the enhanced contrast data using the global threshold, and the segmentation using the modified watershed technique—local threshold by watershed. The proposed techniques were compared with a conventional marker-based watershed on the test images simulating low-quality tomography data and on the neutron tomography data of the samples of magnesium potassium phosphate cement (MKP). The obtained results demonstrate the advantages of the proposed techniques over the conventional watershed-based approach.
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Zaky MM, Haggag S, el Bar WA, Mongy T. Ageing management of research reactors instrumentation using neutron radiography applications. ALEXANDRIA ENGINEERING JOURNAL 2022; 61:3229-3235. [DOI: 10.1016/j.aej.2021.08.041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/02/2023]
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Neutron Tomography Studies of Two Lamprophyre Dike Samples: 3D Data Analysis for the Characterization of Rock Fabric. J Imaging 2022; 8:jimaging8030080. [PMID: 35324635 PMCID: PMC8954089 DOI: 10.3390/jimaging8030080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 03/09/2022] [Accepted: 03/16/2022] [Indexed: 12/10/2022] Open
Abstract
The rock fabric of two lamprophyre dike samples from the Koy-Tash granitoid intrusion (Koy-Tash, Jizzakh region, Uzbekistan) has been studied, using the neutron tomography method. We have performed virtual segmentation of the reconstructed 3D model of the tabular igneous intrusion and the corresponding determination of dike margins orientation. Spatial distributions of inclusions in the dike volume, as well as further analysis of size distributions and shape orientations of inclusions, have been obtained. The observed shape preferred orientations of inclusions as evidence of the magma flow-related fabric. The obtained structural data have been discussed in the frame of the models of rigid particle motion and the straining of vesicles in a moving viscous fluid.
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Bakirov B, Saprykina I, Kichanov S, Mimokhod R, Sudarev N, Kozlenko D. Phase Composition and Its Spatial Distribution in Antique Copper Coins: Neutron Tomography and Diffraction Studies. J Imaging 2021; 7:129. [PMID: 34460765 PMCID: PMC8404944 DOI: 10.3390/jimaging7080129] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2021] [Revised: 07/27/2021] [Accepted: 08/01/2021] [Indexed: 12/03/2022] Open
Abstract
The chemical and elementary composition, internal arrangement, and spatial distribution of the components of ancient Greek copper coins were studied using XRF analysis, neutron diffraction and neutron tomography methods. The studied coins are interesting from a historical and cultural point of view, as they are "Charon's obol's". These coins were discovered at the location of an ancient Greek settlement during archaeological excavations on the "Volna-1" necropolis in Krasnodar Region, Russian Federation. It was determined that the coins are mainly made of a bronze alloy, a tin content that falls in the range of 1.1(2)-7.9(3) wt.%. All coins are highly degraded; corrosion and patina areas occupy volumes from ~27 % to ~62 % of the original coin volumes. The neutron tomography method not only provided 3D data of the spatial distribution of the bronze alloy and the patina with corrosion contamination inside coin volumes, but also restored the minting pattern of several studied coins. Taking into account the obtained results, the origin and use of these coins in the light of historical and economic processes of the Bosporan Kingdom are discussed.
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Affiliation(s)
- Bulat Bakirov
- Frank Laboratory of Neutron Physics, Joint Institute for Nuclear Research, 141980 Dubna, Russia; (I.S.); (S.K.); (D.K.)
- Institute of Physics, Kazan (Volga Region) Federal University, 420008 Kazan, Russia
| | - Irina Saprykina
- Frank Laboratory of Neutron Physics, Joint Institute for Nuclear Research, 141980 Dubna, Russia; (I.S.); (S.K.); (D.K.)
- Institute of Archaeology RAS, 117036 Moscow, Russia; (R.M.); (N.S.)
| | - Sergey Kichanov
- Frank Laboratory of Neutron Physics, Joint Institute for Nuclear Research, 141980 Dubna, Russia; (I.S.); (S.K.); (D.K.)
| | - Roman Mimokhod
- Institute of Archaeology RAS, 117036 Moscow, Russia; (R.M.); (N.S.)
| | - Nikolay Sudarev
- Institute of Archaeology RAS, 117036 Moscow, Russia; (R.M.); (N.S.)
| | - Denis Kozlenko
- Frank Laboratory of Neutron Physics, Joint Institute for Nuclear Research, 141980 Dubna, Russia; (I.S.); (S.K.); (D.K.)
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