Pith. sign in

REVIEW 1 cited by

Atomic-scale grain boundary engineering to overcome hot-cracking in additively-manufactured superalloys

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 1905.09537 v2 pith:IABDENJM submitted 2019-05-23 cond-mat.mtrl-sci

classification cond-mat.mtrl-sci
keywords grainboundarycrackingpartsboundariesbuildcausescolumnar
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
abstract

There are still debates regarding the mechanisms that lead to hot cracking in parts build by additive manufacturing (AM) of non-weldable Ni-based superalloys. This lack of in-depth understanding of the root causes of hot cracking is an impediment to designing engineering parts for safety-critical applications. Here, we deploy a near-atomic-scale approach to investigate the details of the compositional decoration of grain boundaries in the coarse-grained, columnar microstructure in parts built from a non-weldable Ni-based superalloy by selective electron-beam melting. The progressive enrichment in Cr, Mo and B at grain boundaries over the course of the AM-typical successive solidification and remelting events, accompanied by solid-state diffusion, causes grain boundary segregation induced liquation. This observation is consistent with thermodynamic calculations. We demonstrate that by adjusting build parameters to obtain a fine-grained equiaxed or a columnar microstructure with grain width smaller than 100 $\mu$m enables to avoid cracking, despite strong grain boundary segregation. We find that the spread of critical solutes to a higher total interfacial area, combined with lower thermal stresses, helps to suppress interfacial liquation.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. A Decision Transformer Approach to Grain Boundary Network Optimization

    cond-mat.mtrl-sci 2024-12 conditional novelty 6.0 of 10

    A Decision Transformer trained on human gameplay optimizes grain boundary networks, reaching about 92% of simulated annealing's solution quality with orders of magnitude fewer iterations and transferring across materi...

Pith tools