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Record W4293543385 · doi:10.31399/asm.cp.itsc2005p0265

Finite Elements Modelling of Transient Thermal Stresses Developed in Ceramic Coatings During Thermal Cycling Conditions

2005· article· en· W4293543385 on OpenAlexaff
P.C. Robin, F. Gitzhofer, Maher I. Boulos, P. Fauchais, Martine Hogge

Bibliographic record

VenueThermal spray · 2005
Typearticle
Languageen
FieldMaterials Science
TopicAdvanced ceramic materials synthesis
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsThermal shockMaterials scienceTemperature cyclingCeramicFinite element methodComposite materialTransient (computer programming)Thermal conductivityThermalCubic zirconiaWork (physics)Mechanical engineeringStructural engineeringThermodynamicsEngineering

Abstract

fetched live from OpenAlex

Abstract Ceramic functional coatings are frequently applied to structure materials in a wide range of mechanical and chemical applications for their specific properties of hardness, passive resistance to chemical aggression and low thermal conductivity. The counter part of those specific properties is a low mechanical and thermal shock resistance. Thus it is of prime importance to investigate the fundamental mechanisms, which governs the failure under thermal shock and thermal cycle conditions to increase the range of reliable industrial applications. The work presented in this paper deals with the Finite Element Modelling [FEM] of the transient thermal fields and associated stresses developed in ceramic coatings during firstly the post deposition cooling step and secondly during thermal cycling conditions. Alumina [Al2O3] and Partially Stabilized Zirconia [PSZ] coatings, which are both widely used in mechanical and chemical industries, are under investigation.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.389
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.028
GPT teacher head0.264
Teacher spread0.236 · 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

Citations1
Published2005
Admission routes1
Has abstractyes

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