Forced Convection Heat Transfer of a Phase Change Material (PCM) Nanoemulsion
Bibliographic record
Abstract
Phase Change Materials (PCM) are suitable for use in Thermal Energy Storage (TES) systems as they can store and release both sensible heat and latent heat during phase change. This investigation examines the thermophysical properties and heat transfer properties of a beeswax nanoemulsion during forced convection in a circular tube. First, the beeswax nanoemulsion was synthesized using surfactants and water, which possesses a relatively low viscosity to enhance pumpability, as well as a high beeswax percentage by mass for greater latent heat storage capacity. The test section was a circular stainless steel tube, 11.3 mm in diameter and heated uniformly using an Ohmic heating method. To determine the heat transfer coefficient, the inlet and exit nanoemulsion temperatures and tube wall temperatures were measured at several axial locations. The forced convection heat transfer coefficient results were first compared to water in order to verify the setup accuracy as well as the degree of success of the PCM in heat storage ability. The experimental results indicate suitable heat transfer coefficients for a stable beeswax nanoemulsion, making it a potential candidate for charging and discharging thermal energy in thermal storage applications.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".