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Modified perturbation solutions for Stefan problems with convective boundary conditions at high Stefan numbers

2025· article· en· W4412789121 on OpenAlexafffund
Mohammaderfan Mohit, Minghan Xu, Saad Akhtar, Agus P. Sasmito

Bibliographic record

VenueInternational Journal of Heat and Mass Transfer · 2025
Typearticle
Languageen
FieldEngineering
TopicPhase Change Materials Research
Canadian institutionsUniversity of TorontoMcGill University
FundersFonds de recherche du Québec – Nature et technologiesNatural Sciences and Engineering Research Council of Canada
KeywordsStefan problemConvectionPerturbation (astronomy)ThermodynamicsMechanicsMaterials scienceBoundary (topology)PhysicsMathematical analysisMathematics

Abstract

fetched live from OpenAlex

The classical Stefan problem is one of the formulations to represent the moving boundary problems, such as solidification and melting processes. The nonlinearity of the differential equation that governs the moving boundary, i.e., the Stefan condition, makes finding the exact solutions a difficult task. Hence, perturbation theory is often applied to generate approximate analytical solutions by assuming a small Stefan number, i.e., Ste ≤ 0 . 01 , which indicates the ratio of the sensible heat over latent heat in phase change processes. This assumption, however, limits the thermal engineering application of the approximate solution. The present study introduces a modified perturbation solution by adding a correction term after the leading-order solution that extends the validity to a wider range of Stefan numbers (i.e., 0.01 ≤ Ste ≤ 1). Specifically, the Stefan problem is first formulated in Cartesian, cylindrical, and spherical coordinates subject to a realist Robin boundary condition. Then, the leading-order perturbation solution is calculated and a correction term is added by using the Monte-Carlo statistical method and a multi-variant regression analysis. Results indicate that the correction term changes linearly with the Stefan number and is not significantly influenced by the Biot number. The proposed modified solution represents a rapid and precise method to predict the nonlinear moving boundary and temperature profiles in phase change processes.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.302
Threshold uncertainty score0.356

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 head0.022
GPT teacher head0.275
Teacher spread0.253 · 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.

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

Citations2
Published2025
Admission routes2
Has abstractyes

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