Multiscale modelling approach for predicting solidification structure evolution in vacuum arc remelted superalloy ingots

The present paper describes the mathematical development and validation of a comprehensive stochastic model capable of predicting at the mesoscopic level the solidification structure, Laves, and NbC phases in superalloy ingots processed by vacuum arc remelting (VAR) technology. The multiscale modell...

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Bibliographic Details
Published inMaterials science and technology Vol. 28; no. 8; pp. 1006 - 1013
Main Author Nastac, L
Format Journal Article
LanguageEnglish
Published London, England Taylor & Francis 01.08.2012
SAGE Publications
Taylor & Francis Ltd
Subjects
Alloy 718
Ingot solidification structure
Ingots
Laves and NbC phases
Materials science
Mathematical models
Measurement
Modelling
Multiscale modelling
Solidification
Stochastic mesoscopic modelling
Stochastic models
Stochasticity
Superalloys
Vacuum arc remelting
VAR
Ingot solidification structure
Laves and NbC phases
Alloy 718
Multiscale modelling
Vacuum arc remelting
Stochastic mesoscopic modelling
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Summary:The present paper describes the mathematical development and validation of a comprehensive stochastic model capable of predicting at the mesoscopic level the solidification structure, Laves, and NbC phases in superalloy ingots processed by vacuum arc remelting (VAR) technology. The multiscale modelling approach consists of a coupling between a fully transient deterministic macroscopic code and a stochastic mesoscopic solidification structure code. Predictions from the model were validated against experimental measurements. Multiscale model predictions are compared against a commercial size VAR ingot.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0267-0836
1743-2847
DOI:10.1179/1743284712Y.0000000010