Micro-CT Quantitative Evaluation of Graphite Nodules in SGI
Abstract
The quality of spheroidal graphite cast iron (SGI) castings is directly related to the morphology of graphite nodules. Therefore, accurate and comprehensive quantitative evaluation of microstructure is critical for industrial practices. The most influential morphological characteristics of the graphite phase in SGI can be divided into three categories: (1) shape and size of individual graphite nodules, (2) total volume of graphite phase and nodule number, and (3) spatial distribution. During the last decades, SGI structure analysis has progressed from visual observation of polished cross section and quantitative 2D techniques (metallography and automated SEM/EDX) to observation of the real 3D structure using micro-computed tomography (µCT) scanning. In this article, 2D and 3D morphological characteristics of graphite nodules were determined by µCT scanning and compared. 3D µCT provides accurate characterization of the real shape factor and diameter of graphite nodules. It was shown that large and small graphite nodules in inoculated SGI have the different modes of space distribution which could be linked to casting solidification.
Recommended Citation
S. N. Lekakh et al., "Micro-CT Quantitative Evaluation of Graphite Nodules in SGI," International Journal of Metalcasting, vol. 14, pp. 318 - 327, Springer International Publishing, Apr 2020.
The definitive version is available at https://doi.org/10.1007/s40962-019-00354-9
Department(s)
Materials Science and Engineering
Second Department
Nuclear Engineering and Radiation Science
Research Center/Lab(s)
Center for Research in Energy and Environment (CREE)
Keywords and Phrases
cast iron; micro-CT scanning; solidification; spheroidal graphite; structure
International Standard Serial Number (ISSN)
1939-5981
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2019 American Foundry Society, All rights reserved.
Publication Date
01 Apr 2020
Comments
Funding was provided by AFS (Grant No. 16-17#08).
Published online: 10 Jul 2019