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Record W2964735862 · doi:10.11159/htff19.131

An Investigation of Condensation Heat Transfer of Dowtherm-A in Polymer Solidification

2019· article· en· W2964735862 on OpenAlexvenueno aff
Bora Yazgan, Erdem Gorgun, Mert Patkavak Murat Gokten

Bibliographic record

VenueProceedings of the World Congress on Mechanical, Chemical, and Material Engineering · 2019
Typearticle
Languageen
FieldMaterials Science
TopicPolymer Science and PVC
Canadian institutionsnot available
Fundersnot available
KeywordsCondensationPolymerMaterials scienceHeat transferThermodynamicsComposite materialPhysics

Abstract

fetched live from OpenAlex

Polymer which is used in tire cord manufacturing, is transferred with jacketed transfer line and heating box to provide thermal stability of the system after extrusion process. The heating box is heated with vapor phase Dowtherm-A to compensate the heat loss of the polymer. In order to increase heat transfer on the condensation surfaces, reducing the thickness of condensed fluid film is essential. In this study, inlet mass flow rate of Dowtherm-A was investigated with steady state analyses. Results show that fluid moves through polymer pipes for higher inlet mass flow rate while it loses its energy and faces towards solidification chamber for lower inlet mass flow. Required Dowtherm-A mass flow for heat equilibrium at 300C was calculated 0.0035 kg/s for this system. In order to understand the effect of surface inclination over fluid film thickness two different solidification chamber designs were investigated. Heat transfer rate is improved by lowering the fluid film thickness with inclined top surface in comparison to flat top surface. Therefore, heat transfer rate of solidification chamber of inclined top design is %3.5 higher than flat top design. It was also observed that approximately %46,1 of the heat is transferred to solidification chamber and %3,9 of the heat transferred to polymer pipes, whereas another half of the heat is lost due to heat transfer with ambient air. Total heat transfer in condensation surfaces was calculated as 1008 Watt for the inclined top 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 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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.008
GPT teacher head0.208
Teacher spread0.201 · 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 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
Published2019
Admission routes1
Has abstractyes

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