Prediction of the fatigue limit defining mechanism of nodular cast iron based on statistical microstructural features
Vaara, Joona; Väntänen, Miikka; Laine, Jarkko; Kemppainen, Jukka; Frondelius, Tero (2022-12-16)
Joona Vaara, Miikka Väntänen, Jarkko Laine, Jukka Kemppainen, Tero Frondelius, Prediction of the fatigue limit defining mechanism of nodular cast iron based on statistical microstructural features, Engineering Fracture Mechanics, Volume 277, 2023, 109004, ISSN 0013-7944, https://doi.org/10.1016/j.engfracmech.2022.109004
© 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
https://creativecommons.org/licenses/by/4.0/
https://urn.fi/URN:NBN:fi-fe2023050440936
Tiivistelmä
Abstract
The microstructure and nodule count of large-size nodular cast iron components vary spatially. These variables are qualitatively known to affect the fatigue limit, yet no model exists to quantify the effects. Some of the physical aspects, such as the clustering of graphite nodules and the role of ferrite microhardness in ferritic–pearlitic nodular cast iron fatigue, have been unclear in the literature. This paper aims to clarify and quantify these aspects. In the absence of casting defects, the largest ferrite with a crack initiating graphite is shown to be the physical, and statistical, explanation for the mixed grade fatigue limit.
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