Abstract
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 language | English |
|---|---|
| Pages (from-to) | 154-166 |
| Number of pages | 13 |
| Journal | Integrating Materials and Manufacturing Innovation |
| Volume | 8 |
| Issue number | 2 |
| Early online date | 22 Apr 2019 |
| DOIs | |
| Publication status | Published - 15 Jun 2019 |
Keywords
- Nickel-based superalloy
- Inconel 625
- Precipitation
- Mean-field theory
- Additive manufacture