Numerical Simulation of Thermal Storage Tank with Middle Baffles Distributions
Bibliographic record
Abstract
A numerical investigation into the influence of baffle placement on thermal stratification within a vertical cylindrical cold-water tank is conducted.The tank, sporting a diameter of 400 mm and a height of 1000 mm, incorporates inlet and outlet ports of equal diameter (17.39 mm).The baffles, integral to this study, are of 200 mm in length and 2 mm in thickness.The study leverages computational methodologies to decipher the equations that govern heat transfer and fluid flow within a baffle-integrated tank.The tank commences with an initial water temperature of 4.4℃, and an inflow of water at 13.3℃, from the upper left side.Validation of the adopted tests is sought through experimental data available in extant literature.The abstract delves into the impact of baffle number and positioning on a multitude of elements-thermocline temperature, streamline creation, vortex formation, velocity vectors, Stratification Number, and Richardson Number-across varied cases during the discharging phase.The introduction of one or two baffles exerts a marginal effect on temperature distribution contours.However, a third baffle accentuates this impact, expanding the hot-cold interface with a pronounced penetration effect within the tank.Interestingly, the influence of three baffles on temperature distribution contours diminishes at a discharging time of 2173.4 s.This study provides insight into the nuanced role of baffles within thermal storage tanks, elucidating key considerations for their optimal placement and number.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".