Characterization of Inclusion Size Distributions in a Large Forged Shaft Using X‐ray Micro‐Computed Tomography Imaging

The presence of nonmetallic inclusions in steel considerably affects the material's properties. This study investigates these effects by sampling six locations along the radial direction of a large forged shaft to analyze the distribution characteristics of inclusions. Scanning electron microscopy and optical microscopy are used to identify the types and morphologies of the inclusions. X‐ray micro‐computed tomography scanning provides detailed distribution data, including the length, width, equivalent diameter, and shape of the inclusions. This approach allows for a comprehensive understanding of the radial distribution characteristics of inclusions in the forged shaft. The results reveal that both the quantity and size of inclusions in the large forged shaft increase progressively from the edge toward the center. Additionally, the fatigue strength is estimated based on the inclusion distribution at various locations. The prediction shows a relative error exceeding 15%, indicating that the heterogeneity of the components considerably affects their fatigue performance. Finally, a novel method for predicting the maximum inclusion size within the heterogeneous large forged shaft is introduced.

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Publication Details

Journal
steel research international
Published
2024-11-15
DOI
https://doi.org/10.1002/srin.202400612
Citations
1
Primary Topic
Metallurgy and Material Forming
Type
article
Field-Weighted Citation Impact
0.27

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article

Characterization of Inclusion Size Distributions in a Large Forged Shaft Using X‐ray Micro‐Computed Tomography Imaging

Long Liu, Bo Ma, Z.H. Wang, Linan Tian et al.
1 citations
steel research international
Metallurgy and Material Forming
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article

Characterization of Inclusion Size Distributions in a Large Forged Shaft Using X‐ray Micro‐Computed Tomography Imaging

Long Liu, Bo Ma, Z.H. Wang, Linan Tian, Guoqiang Liu, Zhen Zhang, Ming Zhang, Fei Sun, Changan Liu, Zhe Liu
article en
1 citations

Abstract

The presence of nonmetallic inclusions in steel considerably affects the material's properties. This study investigates these effects by sampling six locations along the radial direction of a large forged shaft to analyze the distribution characteristics of inclusions. Scanning electron microscopy and optical microscopy are used to identify the types and morphologies of the inclusions. X‐ray micro‐computed tomography scanning provides detailed distribution data, including the length, width, equivalent diameter, and shape of the inclusions. This approach allows for a comprehensive understanding of the radial distribution characteristics of inclusions in the forged shaft. The results reveal that both the quantity and size of inclusions in the large forged shaft increase progressively from the edge toward the center. Additionally, the fatigue strength is estimated based on the inclusion distribution at various locations. The prediction shows a relative error exceeding 15%, indicating that the heterogeneity of the components considerably affects their fatigue performance. Finally, a novel method for predicting the maximum inclusion size within the heterogeneous large forged shaft is introduced.

steel research internationalVol. 96(6)
Qilu University of Technology (CN), Chinese Academy of Sciences (CN), Institute of High Energy Physics (CN), Shandong Academy of Sciences (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province, Shandong Academy of Sciences
Openalex Percentile: Top 48%
Metallurgy and Material Forming
0.27
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