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Record W2271314487 · doi:10.14288/1.0078681

Study of back-diffusion in the nickel-base single crystal superalloy RR-2100

2009· article· en· W2271314487 on OpenAlex
Anand Thirumalai

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuecIRcle (University of British Columbia) · 2009
Typearticle
Languageen
FieldMaterials Science
TopicMaterial Properties and Applications
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsNickelSuperalloyMaterials scienceDiffusionBase (topology)Single crystalMetallurgyCrystallographyChemistryThermodynamicsMicrostructurePhysicsMathematics

Abstract

fetched live from OpenAlex

Nickel-base superalloys have been an topic of active research for over five decades and the findings from various researchers worldwide have had a direct impact not only on different areas of materials science but also on applications thereof, in particular the aircraft industry, i.e. the aeroengine. One of the primary concerns of aircraft engine manufacturers has been the problem of microsegregation in turbine blade alloys. This phenomenon which is present in almost all cast products occurs due to the partitioning of solute between the solid and the liquid phases during solidification and is ultimately the source of several types of defects such freckling and white spots in castings resulting in rejection of defective products. Since microsegregation results in a heterogeneous distribution of alloying elements in the cast product it is deleterious to the component's thermo-mechanical properties as well as to its resistance to environmental attack. Thus, much of the current work in superalloy technology has been directed towards gaining a better understanding of microsegregation in different alloys through experimentation coupled with efforts leading towards finding a means of satisfactorily predicting its effects and also to a degree controlling it. Over the years efforts have culminated in many models of microsegregation having been developed for different alloy systems with reasonably acceptable predictive capacities. Nearly all of these models consider the phenomenon of back-diffusion in the solid which serves to reduce the degree of microsegregation in the final cast product by redistributing the solute during solidification. In Ni—base superalloys however, evidence for back diffusion is scarce and only a handful of models of microsegregation are available. The work contained in this thesis addresses the issue of obtaining experimental proof for back diffusion in a Ni—base single crystal superalloy. The study was also aimed at developing a suitable model to predict the microsegregation in the alloy. Directional solidification experiments were conducted in a Directional Solidification and Quench (DSQ) furnace for producing cast single crystal specimens of the alloy RR-2100 which were characterized using Differential Scanning Calorimetry (DSC) for the alloy's solidification behaviour and range. Electron—probe microanalysis (EPMA) experiments were conducted on specimens prepared in this way to obtain compositional data in the mushy zone. The raw data from these experiments were sorted and interpreted with the model of microsegregation. The agreement between the model's predictions and the experimental data were found to be reasonably good. The analysis revealed evidence for back diffusion in RR-2100 nickel-base single crystal superalloy and the measures of the diffusivities of the solutes obtained were found to be consistent with previous findings in the literature.

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.

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 score0.981
Threshold uncertainty score0.902

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 head0.017
GPT teacher head0.189
Teacher spread0.172 · 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