New Laser Based Method for Non-Intrusive Measurement of Available Energy Loss and Local Entropy Generation
Bibliographic record
Abstract
This paper outlines a new experimental technique for measuring the instantaneous entropy production using a non-intrusive, laser based approach. Unlike point-wise methods which yield measured velocities at single points in space, the method of PIV (Particle Image Velocimetry) is used to derive the spatial velocity gradients over the entire problem domain. When combined with local temperatures and thermal irreversibilities, these velocity gradients can be used to determine the energy availability loss due to exergy destruction. This article focuses on frictional effects, which lead to irreversible degradation of mechanical energy into internal energy through viscous dissipation. Frictional effects are significant in various devices, ranging from power turbines, internal flow systems and other turbomachinery. In addition to measured data for validation of predictive models, such data can be used by designers to characterize and improve the energy efficiency of engineering devices.
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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".