1D solidification model for the prediction of microstructural evolution in light alloy

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dc.contributor.author Paliwal, Manas
dc.contributor.author Jung, In-Ho
dc.date.accessioned 2017-12-06T05:29:04Z
dc.date.available 2017-12-06T05:29:04Z
dc.date.issued 2017
dc.identifier.citation Paliwal, Manas and Jung, In-Ho, "1D solidification model for the prediction of microstructural evolution in light alloy", in Computational Materials System Design, DOI: 10.1007/978-3-319-68280-8_5, Springer International Publishing, 2017, pp. 89-103, ISBN: 978-3-319-68278-5, 978-3-319-68280-8. en_US
dc.identifier.isbn 978-3-319-68278-5
dc.identifier.isbn 978-3-319-68280-8
dc.identifier.uri http://dx.doi.org/10.1007/978-3-319-68280-8_5
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/3307
dc.description.abstract As-cast microstructure is important for alloy development. Solidification is a complex process involving both phase diagram information and diffusion kinetics. The present 1D solidification model coupling the CALPHAD-type thermodynamic database and classical solidification theories can reasonably predict the microstructural evolution including solidification path, primary and secondary dendrite arm spacing, microsegregation, and secondary phase fraction. The solidification calculations even in multicomponent system can be calculated in less than a few minutes. The combination of the present solidification model and thermodynamic calculations can be useful for the optimization of casting parameters of existing alloys and the development of new alloys.
dc.description.statementofresponsibility by Manas Paliwal and In-Ho Jung
dc.format.extent pp. 89-103
dc.language.iso en en_US
dc.publisher Springer International Publishing en_US
dc.subject Solidification model en_US
dc.subject Microsegregation en_US
dc.subject Second phase fraction en_US
dc.subject Mg and Al alloys en_US
dc.title 1D solidification model for the prediction of microstructural evolution in light alloy en_US
dc.type Book chapter en_US
dc.relation.journal Computational Materials System Design


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