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Record W1557719271 · doi:10.1002/9780470291320.ch3

Design of Alternative Multilayer Thick Thermal Barrier Coatings

2008· book-chapter· en· W1557719271 on OpenAlex

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

VenueCeramic engineering and science proceedings · 2008
Typebook-chapter
Languageen
FieldEngineering
TopicTribology and Wear Analysis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMaterials scienceThermal barrier coatingThermalComposite materialEngineering physicsEngineeringCoatingPhysicsMeteorology

Abstract

fetched live from OpenAlex

Increasing the combustion temperature in diesel engines is an idea which has been pursued for over 20 years. Increased combustion temperature can increase the power and efficiency of the engine, decrease the specific fuel consumption and CO emission rate. Ceramic thermal barrier coatings have been identified as the most promising approach to meeting these objectives. The most commonly used system is Yttria Partially Stabilized Zirconia (Y-PSZ). However, in contrast to the widespread use in aircraft and power generation turbine engines, Y-PSZ TBCs have not met with wide success in diesel engines. To reach the desirable temperature of 850–900°C in the combustion chamber, a coating with a thickness of at least lmm is required. This introduces different considerations than in the case of turbine blade coatings, which are on the order of 100μm thick. The design of a multilayer coating employing relatively low cost materials with complementary thermal properties is described. Numerical models were used to optimize the thickness for the different layers to yield the minimum stress at the operating conditions while achieving the desired temperature gradient.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.578
Threshold uncertainty score1.000

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 head0.014
GPT teacher head0.205
Teacher spread0.191 · 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