Predicting Precipitation Kinetics During the Annealing of Additive Manufactured Inconel 625 Components

Magnus J. Anderson, Jonathan Benson, Jeffery W. Brooks, Benjamin Saunders, Hector C. Basoalto

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)
257 Downloads (Pure)


The prediction of solidification microstructures associated with additive manufacture of metallic components is fundamental in the identification scanning strategies, process parameters and subsequent heat treatments for optimised component properties. Interactions between the powder particles and the laser heat source result in complex thermal fields in and around the metal melt pool, which will influence the spatial distribution of chemical species as well as solid-state precipitation reactions. This paper demonstrates that a multi-component, multi-phase precipitation model can successfully predict the observed precipitation kinetics in Inconel 625, capturing the anomalous precipitation behaviour exhibited in additively manufactured components. A computer coupling of phase diagrams and thermochemistry (CALPHAD)-based approach captures the impact of dendritic segregation of alloying elements upon precipitation behaviour. The model was successful in capturing the precipitation kinetics during annealing considering the Nb-rich and Nb-depleted regions that are formed during additive manufacturing.
Original languageEnglish
Pages (from-to)154-166
Number of pages13
JournalIntegrating Materials and Manufacturing Innovation
Issue number2
Early online date22 Apr 2019
Publication statusPublished - 15 Jun 2019


  • Nickel-based superalloy
  • Inconel 625
  • Precipitation
  • Mean-field theory
  • Additive manufacture


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