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Record W4414173079 · doi:10.1016/j.matdes.2025.114733

Heat-affected zone cracking in new 718-type superalloy VDM alloy 780: Effect of solution heat treatments and comparison with alloy 718

2025· article· en· W4414173079 on OpenAlexaff
Achmad Ariaseta, Joel Andersson, Olanrewaju Ojo

Bibliographic record

VenueMaterials & Design · 2025
Typearticle
Languageen
FieldEngineering
TopicHigh Temperature Alloys and Creep
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsLiquationAlloyCrackingGrain boundarySuperalloy

Abstract

fetched live from OpenAlex

• Liquation cracking in VDM 780 occurs via supersolidus and MC carbide liquation. • Heat treatment at 1050 °C yields the lowest liquation cracking susceptibility. • Grain coarsening outweighs boron segregation in increasing cracking propensity. • Severe grain coarsening occurs at 1150 °C; 1050 °C promotes strong boron segregation. • VDM 780 exhibits superior liquation cracking resistance over Alloy 718. The weld heat-affected zone liquation cracking susceptibility of new 718-type superalloy VDM Alloy 780 was studied under various pre-weld solution heat treatment (SHT) conditions using the Varestraint test and compared with Alloy 718. Similar to Alloy 718, liquation cracking in VDM Alloy 780 occurs by constitutional liquation of NbC and supersolidus melting. Among the conditions studied, the 1050 °C/0.5 h SHT exhibits the lowest cracking propensity, followed by 1090 °C/2h, 1150 °C/4h, and 1150 °C/4h + 1050 °C/0.5 h. Within this SHT range, grain coarsening and equilibrium segregation of boron at the grain boundaries are identified as major factors deteriorating the cracking resistance in VDM Alloy 780, with grain coarsening being the more dominant factor. When both factors coexist, the cracking susceptibility further increases. The most significant grain coarsening takes place at 1150 °C, while the strongest boron segregation occurs after the 1050 °C SHT. In its optimal SHT condition that resists cracking (1050 °C/0.5 h), VDM Alloy 780 exhibits superior liquation cracking resistance to Alloy 718 despite having a six times coarser grain size, which appears to be due to its substantially higher fraction of coincident site lattice boundaries (25 % higher).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.231
Teacher spread0.222 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2025
Admission routes1
Has abstractyes

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