Numerical modeling of diffusion-based peritectic solidification in iron carbon system and experimental validation

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dc.contributor.author Das, Ipsita Madhu Mita
dc.contributor.author Kumar, Nishant
dc.contributor.author Paliwal, Manas
dc.date.accessioned 2019-04-11T09:19:52Z
dc.date.available 2019-04-11T09:19:52Z
dc.date.issued 2019-03
dc.identifier.citation Das, Ipsita Madhu Mita; Kumar, Nishant and Paliwal, Manas,"Numerical modeling of diffusion-based peritectic solidification in iron carbon system and experimental validation", JOM (The Journal of The Minerals, Metals & Materials Society), DOI: 10.1007/s11837-019-03442-7, Mar. 2019. en_US
dc.identifier.issn 1047-4838
dc.identifier.issn 1543-1851
dc.identifier.uri https://doi.org/10.1007/s11837-019-03442-7
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/4375
dc.description.abstract Continuous casting of high-strength steels is challenging owing to peritectic phase transformation during solidification. This transformation is reported to be either diffusion controlled or “massive” like. The experimental evidence suggests that constant thermal gradients lead to diffusion-controlled phenomena, whereas the concentric solidification technique induces massive transformation. Diffusion-controlled peritectic solidification is more desirable during continuous casting to ensure a suitable cast quality compared with massive transformation. Accordingly, the authors demonstrate a general one-dimensional numerical modeling of the solidification process in steel by incorporating a diffusion-controlled peritectic phase transformation. The model is dynamically linked with the FactSage thermodynamic database through ChemAppV 7.1.4 library for input of accurate thermodynamic data. The modeling details are presented for a binary Fe-C system, and the results are compared with the experimental data available in the literature. The growth and dissolution of phases are accurately predicted as a function of composition and cooling rate.
dc.description.statementofresponsibility by Ipsita Madhu Mita Das, Nishant Kumar and Manas Paliwal
dc.language.iso en en_US
dc.publisher Springer en_US
dc.title Numerical modeling of diffusion-based peritectic solidification in iron carbon system and experimental validation en_US
dc.type Article en_US
dc.relation.journal The Journal of The Minerals, Metals & Materials Society


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