Three-dimensional characterization of typical inclusions in steel by X-ray Micro-CT

The non-metallic inclusions are mostly harmful to the propertiesof the steel products. The effective characterization of the size, morphology, and distribution of the inclusions in steel is a key issue to remove and control the inclusions in the metallurgical process. However, the conventional metho...

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Main Authors: Zhiqiang Shang, Tao Li, Shufeng Yang, Jianchuan Yan, Han Guo
Format: Article
Language:English
Published: Elsevier 2020-05-01
Series:Journal of Materials Research and Technology
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2238785419320769
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spelling doaj-f833bf64636b41d7ada6e03d2056cf502020-11-25T03:18:08ZengElsevierJournal of Materials Research and Technology2238-78542020-05-019336863698Three-dimensional characterization of typical inclusions in steel by X-ray Micro-CTZhiqiang Shang0Tao Li1Shufeng Yang2Jianchuan Yan3Han Guo4College of Materials Science and Engineering, Chongqing University, Chongqing, 400044, China; Chongqing Key Laboratory of Vanadium-Titanium Metallurgy and Advanced Materials, Chongqing University, Chongqing, 400044, ChinaCollege of Materials Science and Engineering, Chongqing University, Chongqing, 400044, China; Chongqing Key Laboratory of Vanadium-Titanium Metallurgy and Advanced Materials, Chongqing University, Chongqing, 400044, China; Corresponding authors.School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, Beijing, 100083, China; Corresponding authors.College of Materials Science and Engineering, Chongqing University, Chongqing, 400044, China; Chongqing Key Laboratory of Vanadium-Titanium Metallurgy and Advanced Materials, Chongqing University, Chongqing, 400044, ChinaShanghai Synchrotron Radiation Facility, Shanghai Advanced Research Institute, CAS, Shanghai, 201204, ChinaThe non-metallic inclusions are mostly harmful to the propertiesof the steel products. The effective characterization of the size, morphology, and distribution of the inclusions in steel is a key issue to remove and control the inclusions in the metallurgical process. However, the conventional methods usually characterize the inclusions on the cross sections of polished samples, which could only reveal the local features of the inclusions. Therefore, the three-dimensional (3D) observation of the inclusions would provide critical information of the inclusions in the steel matrix. However, it is rare to find the reports of the quantitative investigation of the 3D morphology of inclusion particles. In this study, the samples containing titanium nitride (TiN), titanium oxides (TixOy), and manganese sulfide (MnS) inclusions were measured by X-ray Micro-computed tomography (Micro-CT) in the beamline of BL13W1 available at Shanghai Synchrotron Radiation Facility (SSRF) to obtain the 3D information of the inclusions. The 3D particles were reconstructed by the commercial software Avizo based on the optimized cross-sectional image slices. A series of parameters were defined to quantitatively express the 3D size and morphology of the inclusions, whose distributions are discussed and analyzed statistically. The method provides a powerful and useful way to observe and analyze inclusion particles in the steel products.http://www.sciencedirect.com/science/article/pii/S2238785419320769InclusionSteelX-ray Micro-CTThree-dimensionMorphology.
collection DOAJ
language English
format Article
sources DOAJ
author Zhiqiang Shang
Tao Li
Shufeng Yang
Jianchuan Yan
Han Guo
spellingShingle Zhiqiang Shang
Tao Li
Shufeng Yang
Jianchuan Yan
Han Guo
Three-dimensional characterization of typical inclusions in steel by X-ray Micro-CT
Journal of Materials Research and Technology
Inclusion
Steel
X-ray Micro-CT
Three-dimension
Morphology.
author_facet Zhiqiang Shang
Tao Li
Shufeng Yang
Jianchuan Yan
Han Guo
author_sort Zhiqiang Shang
title Three-dimensional characterization of typical inclusions in steel by X-ray Micro-CT
title_short Three-dimensional characterization of typical inclusions in steel by X-ray Micro-CT
title_full Three-dimensional characterization of typical inclusions in steel by X-ray Micro-CT
title_fullStr Three-dimensional characterization of typical inclusions in steel by X-ray Micro-CT
title_full_unstemmed Three-dimensional characterization of typical inclusions in steel by X-ray Micro-CT
title_sort three-dimensional characterization of typical inclusions in steel by x-ray micro-ct
publisher Elsevier
series Journal of Materials Research and Technology
issn 2238-7854
publishDate 2020-05-01
description The non-metallic inclusions are mostly harmful to the propertiesof the steel products. The effective characterization of the size, morphology, and distribution of the inclusions in steel is a key issue to remove and control the inclusions in the metallurgical process. However, the conventional methods usually characterize the inclusions on the cross sections of polished samples, which could only reveal the local features of the inclusions. Therefore, the three-dimensional (3D) observation of the inclusions would provide critical information of the inclusions in the steel matrix. However, it is rare to find the reports of the quantitative investigation of the 3D morphology of inclusion particles. In this study, the samples containing titanium nitride (TiN), titanium oxides (TixOy), and manganese sulfide (MnS) inclusions were measured by X-ray Micro-computed tomography (Micro-CT) in the beamline of BL13W1 available at Shanghai Synchrotron Radiation Facility (SSRF) to obtain the 3D information of the inclusions. The 3D particles were reconstructed by the commercial software Avizo based on the optimized cross-sectional image slices. A series of parameters were defined to quantitatively express the 3D size and morphology of the inclusions, whose distributions are discussed and analyzed statistically. The method provides a powerful and useful way to observe and analyze inclusion particles in the steel products.
topic Inclusion
Steel
X-ray Micro-CT
Three-dimension
Morphology.
url http://www.sciencedirect.com/science/article/pii/S2238785419320769
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