Cooling With Magnets-Proving The Concept Of Cascaded Caloric Heat Pipes
Bibliographic record
Abstract
Heating and cooling make up a large portion of our total energy consumptions. Today most use cases are being addressed by conventional vapor compression systems. These vapor compression systems rely on harmful or explosive refrigerants and typically achieve less than 50% of Carnot efficiency. An alternative option are magneto caloric systems. These use solid state refrigerants that exhibit a temperature change corresponding to a magnetic field change. As shown in a recent study by Schipper et al. [1] these types of systems have the potential to be more efficient than conventional vapor compression systems. One type of magneto caloric cooling system is the active magneto caloric heat pipe. Unlike other concepts it uses evaporation and condensation as a heat transfer method. This has proven to lead to increase the specific cooling power by almost an order of magnitude and thereby lowering system costs [2]. However, the original prototype achieved only a temperature difference less than 2 K and 42 W of cooling power. For this study a cascaded system consisting of seven sequential caloric segments connected by check-valves was build. With this design we were able to increase the maximum temperature difference to 11.5K and the maximum cooling power to 130W. The design was studied using both ethanol as well as methanol as the heat transfer fluid.
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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".