Experimental Approach on a Swirl Flow and Heat Transfer Coefficient Using a 3-D Stereo-PIV and Liquid Crystals
Bibliographic record
Abstract
The paper discusses effects on the heat transfer coefficients and velocity flow field of a circular chamber from the standpoint of internal cooling system in a gas turbine blade.The research investigates the convective heat transfer by means of Thermochromic Liquid Crystals and velocity flow field using 3-D Stereo-PIV (Particle Image Velocimetry).The application of a swirl cooling flow technique in combination with convective heat transfer measurements at three different Reynolds numbers, 7,000, 14,000, and 21,000, measure the effect of the flow on the circular chamber.The study focuses on finding the effect of swirl number with higher heat transfer coefficient created by the continuous tangential air injection that represents the gas turbine blade cooling path.An experimental test stand consists of a circular chamber system with seven discrete tangential jets created to allow measurement of the swirl flow velocity field in full range of the chamber.The circular chamber is made of clear acrylic, which permits a strong visualization of the flow characteristics using TechPlot.Circumferential velocity, axial velocity, vorticity, and kinematic energy are described from time averaged surveys of the circumferential component at 33 locations along the chamber length.The swirl numbers are given based on the flux of circumferential and axial momentum.The heat transfer coefficient and Nusselt number are calculated based on the inlet total temperature.The Nusselt numbers begin to vary near each air inlet in both axial and circumferential directions.At Re=14,000, the experiment indicates an average Nusselt number is higher in the middle of the chamber length due to the seven air inlets.
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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".