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A Study of HAZ Microfissuring in a Newly Developed Allvac 718 Plus Superalloy

2008· article· en· W2313047577 on OpenAlexafffund
K.R. Vishwakarma, M.C. Chaturvedi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicWelding Techniques and Residual Stresses
Canadian institutionsUniversity of Manitoba
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Manitoba
KeywordsMaterials scienceSuperalloyMetallurgyMicrostructure

Abstract

fetched live from OpenAlex

Allvac 718 PLUS (718 Plus) is a newly developed strengthened Ni-base superalloy with superior high temperature properties compared to its baseline superalloy, Inconel 718, but only limited information about its weldability is available. Electron beam welding response of this new superalloy was studied in two different pre-weld heat treated conditions. Microstructural characterization, prior to and after bead-on-plate electron beam welding, was done by optical microscopy, scanning electron microscopy and transmission electron microscopy. Two versions of 718 Plus with different concentrations of boron and phosphorus were investigated to study the effect of minor alloying elements on weldability. Grain boundary segregation of these minor alloying elements was studied using Secondary Ion Mass Spectrometer (SIMS). HAZ cracking due to liquation at the grain boundaries was observed in the alloys. The welding response of 718 Plus alloys was compared with that of Inconel 718 using two weldability evaluation techniques viz. -weld crack measurements in actual welds and hot-ductility measurements using Gleeble thermo-mechanical simulator. The results obtained by both the techniques were in agreement with each other and indicated that weldability of Inconel 718 was slightly better than that of 718 Plus alloy with normal boron and phosphorus concentration, although weldability of the higher boron and phosphorus version of 718 Plus alloy deteriorated significantly. The causes of cracking in 718 Plus alloys and the parameters affecting it are discussed and the welding response of the newly developed superalloy is assessed.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.461
Threshold uncertainty score0.404

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.036
GPT teacher head0.246
Teacher spread0.210 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations10
Published2008
Admission routes2
Has abstractyes

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