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Hot Ductility Study of HAYNES® 282® Superalloy

2010· article· en· W4233998630 on OpenAlexaff
Joel Andersson, G. Sjöberg, M. Chaturvedi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicHigh Temperature Alloys and Creep
Canadian institutionsUniversity of Manitoba
FundersChalmers Tekniska Högskola
KeywordsSuperalloyMaterials scienceDuctility (Earth science)MetallurgyAlloyCreep

Abstract

fetched live from OpenAlex

The hot ductility of the newly developed Haynes 282 alloys has been investigated in different solution heat treatments conditions using the Gleeble weld thermal simulation method. The ultimate purpose of this study is to assess the feasibility of using this new alloy for the large aircraft engine structures. The strengthening response on cooling down from the solution heat treatment at different temperatures between 1121 and 1135C with cooling rates of ~0.3C/s was considerable (~100 HV increase compared with the as-received condition of HV215) and which may jeopardize weldability, not unexpectedly, in ' hardening alloys. Initial hardness had no or minor influence on hot ductility. Still, the coarse grains achieved by a solution heat treatment heating at 1135C-2hrs, ASTM 1 compared to initial ASTM 5 did lower the hot ductility.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.845
Threshold uncertainty score0.999

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.230
Teacher spread0.217 · 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

Citations8
Published2010
Admission routes1
Has abstractyes

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