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The Precipitation of Primary Carbides in IN718 and its Relation to Solidification Conditions

2005· article· en· W2091596246 on OpenAlexaff
A. Mitchell

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicSolidification and crystal growth phenomena
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsLiquidusIngotSolidusMaterials scienceDirectional solidificationSupercoolingCarbideMetallurgyPrecipitationAlloyDendrite (mathematics)CastingMechanicsThermodynamicsMathematics

Abstract

fetched live from OpenAlex

The solidification structure of remelt ingots of IN718 has been modeled by many authors using a number of different computation techniques.The models have generally been validated by comparing the computed liquidus line with the "pool profile" as outlined by a variety of techniques in industrial ingots.Recent models have also been validated by comparing the dendrite spacings predicted by the computed solidification parameters to those derived from laboratory directional solidification experiments.Both these methods have strong drawbacks.The "pool profile" is almost certainly not the liquidus line in a practical ingot due to supercooling and to momentum transfer from the bulk liquid to the interdendritic liquid in the region where the solid fraction is small.In the case of the dendrite spacings, the nature of the spacings' dependence on the solidification parameters means that the variations expected in practical ingots are close to the precision with which the spacings can be determined.We therefore lack sufficient means to properly test the computed ingot structures against actual practice.A further test of computed ingot thermal conditions has been used.In this test, the average size of primary NbC precipitates is used as the solidification monitor.Laboratory directional solidification experiments have shown that this parameter is sensitive to the local solidification time and can thus be used to check the computed position of the solidus relative to the computed liquidus.The purpose of the present work is to determine the extent to which this method is valid over the range of compositions which are use for alloy IN718.We find that the method is valid provided that the correct relationship is used for the alloy composition in question.The method, however, is difficult to implement in practice due to the problem of determining exactly which carbides in the microstructure are the appropriate primary particles.This difficulty reduces the method to one which is of the same order of precision as the one which uses dendrite spacings.Nonetheless, the method is a useful additional determination of the solidification parameters.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

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 communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.023
GPT teacher head0.270
Teacher spread0.247 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations17
Published2005
Admission routes1
Has abstractyes

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