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MathematicalModeling of Transient Heat Conduction and Analysis of Thermal Stresses in a Thin Circular Plate

2011· article· en· W1918020093 on OpenAlexvenueno aff
Kaushal Patil, Sunita S. Patil, Yogesh Kumar Sharma, Sunku Prasad Jenne

Bibliographic record

VenueProgress in applied mathematics · 2011
Typearticle
Languageen
FieldEngineering
TopicNumerical methods in engineering
Canadian institutionsnot available
Fundersnot available
KeywordsThermal conductionEnhanced Data Rates for GSM EvolutionBoundary value problemPlane (geometry)Surface (topology)GeometryTransient (computer programming)Boundary (topology)Materials scienceStress (linguistics)Series (stratigraphy)MathematicsMechanicsMathematical analysisPhysicsComposite materialEngineeringGeology

Abstract

fetched live from OpenAlex

In this paper, the solution of the problem of transient heat conduction in a thin circular plate subjected to two types of boundary conditions is obtained by employing the integral transform technique in the form of infinite series. It is assumed that the plate is in the plane state of stress and initially the temperature of the plate is kept at zero. The first type of boundary condition is that in which the upper surface is kept at arbitrary temperature, lower surface is kept at zero temperature and circular edge is insulated. In the literature, the origin of coordinates is taken to be the centre of the lower surface of the plate. The second type of boundary condition is that in which a linear combination of temperature and its normal derivatives is prescribed on the circular edge as well as on the plane surfaces of the plate. The true results are given in the form of figure. Key words :

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.040
GPT teacher head0.270
Teacher spread0.230 · 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 designSimulation or modeling
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

Citations3
Published2011
Admission routes1
Has abstractyes

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Same venueProgress in applied mathematicsSame topicNumerical methods in engineeringFrench-language works237,207