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Record W4366146722 · doi:10.11159/enfht23.174

Evaluating the effect of PCM insulation packaging design on the thermal protection performance

2023· article· en· W4366146722 on OpenAlexafffund
Kasra Ghasemi, Mehran Bozorgi, Syeda Humaira Tasnim, Shohel Mahmud

Bibliographic record

VenueProceedings of the World Congress on Momentum, Heat and Mass Transfer · 2023
Typearticle
Languageen
FieldMaterials Science
TopicNatural Fiber Reinforced Composites
Canadian institutionsUniversity of Guelph
FundersMinistry of Agriculture, Food and Rural AffairsOntario Ministry of Agriculture, Food and Rural Affairs
KeywordsThermal protectionThermalComputer scienceReliability engineeringAutomotive engineeringMaterials scienceEngineeringComposite materialPhysics

Abstract

fetched live from OpenAlex

The thermal insulation layer in packaging plays a vital role in thermal protection during food transportation and storage. One of the promising materials applied for insulation is phase change material (PCM) due to its high heat capacity. So, PCM-based insulation can provide almost a constant temperature for a considerable amount of time. However, when PCM is in liquid form, natural convection can shape which affects the heat transfer rate, and consequently, its performance. So, the configuration of PCM is a characteristic factor in increasing the thermal protection time which is evaluated in this paper. For this reason, different designs of PCM insulation with the same amount of PCM are numerically investigated in terms of melting time. It is stated that the bottom part of the PCM-based insulation layer melts faster due to heat penetration caused by free convection. Also, the circular shape provides almost 35% and 15% more protection time than the triangular and square models, respectively, which are supposed to be considered in thermal insulation packaging design.

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)0.002
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 score0.023
Threshold uncertainty score0.334

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.033
GPT teacher head0.273
Teacher spread0.240 · 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

Citations0
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueProceedings of the World Congress on Momentum, Heat and Mass TransferSame topicNatural Fiber Reinforced CompositesFrench-language works237,207