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Record W2804675188 · doi:10.22215/etd/2014-10208

Cyclic and Isothermal Oxidation Resistance of ASPS Thermal Barrier Coating Systems

2014· dissertation· en· W2804675188 on OpenAlexaff
Xiaolong Li

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEngineering
TopicHigh-Temperature Coating Behaviors
Canadian institutionsCarleton University
Fundersnot available
KeywordsMaterials scienceSuperalloyScanning electron microscopeAluminideIsothermal processThermal barrier coatingThermal expansionSubstrate (aquarium)Composite materialDiffusion barrierCoatingMetallurgyMicrostructureAlloyIntermetallicLayer (electronics)

Abstract

fetched live from OpenAlex

To systematically study the oxidation performances of thermal barrier coatings (TBCs) deposited by axial suspension plasma spraying (ASPS) method, isothermal and cyclic oxidation tests were conducted at a peak temperature of 1080C.The TBC systems are based on two different nickel-base superalloy substrates (CMSX-4 or IN738LC), platinum aluminide bond coat and yttria stabilized zirconia (8YSZ) top coat with either vertical cracks (VC) or columnar structure.After the oxidation tests, the samples were analyzed using a scanning electron microscope (SEM) and an X-Ray diffractometer.Samples with IN738LC substrate demonstrated longer isothermal oxidation lives whereas samples with CMSX-4 substrate showed greater cyclic oxidation lives.Outward elemental diffusion (of W and Ta) in TBC system containing CMSX-4 contributed to reduced isothermal oxidation life while the mismatch of coefficients of thermal expansion (CTE) between TGO, bond coat and substrate was believed to be responsible for early failure of TBC system with IN738LC substrate.TBC systems with columnar YSZ overall had longer isothermal oxidation life while vertically cracked YSZ seemed to result in longer cyclic life.Cr2O3 and spinels (CS), in addition to thermally grown aluminum oxide (TGO), were detected on tested TBC samples.The growth of spinels highly depended upon a coating's accessibility to oxygen and test duration and was found to contribute the spallation of the coating layer.  I would like to thank my supervisor Prof. Xiao Huang for

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 score0.001
Threshold uncertainty score0.005

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 communication0.0000.000
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 head0.005
GPT teacher head0.215
Teacher spread0.209 · 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

Citations4
Published2014
Admission routes1
Has abstractyes

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