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Record W4410806086 · doi:10.1177/08927057251344553

An analytical approach for three-dimensional thermal analysis of moving heat source on orthotropic solid

2025· article· en· W4410806086 on OpenAlexafffund
Mahmoud Fereidouni, Suong V. Hoa

Bibliographic record

VenueJournal of Thermoplastic Composite Materials · 2025
Typearticle
Languageen
FieldEngineering
TopicRadiative Heat Transfer Studies
Canadian institutionsConcordia University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsOrthotropic materialMaterials scienceComposite materialThermalThermal analysisThermodynamicsStructural engineeringFinite element methodEngineering

Abstract

fetched live from OpenAlex

The Rosenthal steady-state analytical solution for the temperature distribution caused by a moving point heat source on a semi-infinite, homogeneous, isotropic solid has been extensively used in modeling metallurgical processes, e.g., arc welding. This study develops a three-dimensional analytical closed-form solution for the temperature field induced by a point heat source moving across a semi-infinite orthotropic solid. The formulation accommodates arbitrary orientations of the heat source’s motion relative to the material’s in-plane principal axes and is extended to solids with finite thickness. Subsequently, using the superposition of the linear solutions, a general methodology is proposed to predict the temperature distribution resulting from an arbitrarily distributed heat source. Verification of the closed-form solution and validation of the distributed heating condition against finite element simulations demonstrate excellent agreement. The analytical framework offers potential for thermal modeling of processing methods used for polymeric composites, e.g., additive manufacturing and continuous welding of thermoplastic composites.

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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.014
GPT teacher head0.263
Teacher spread0.249 · 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

Citations5
Published2025
Admission routes2
Has abstractyes

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