Check Valve Rotor Concept to Form an Imploding Liquid Liner for Magnetized Target Fusion Application
Bibliographic record
Abstract
Abstract Magnetized Target Fusion (MTF) is an approach to fusion energy generation through the implosion of a liquid metal cavity to compress a deuterium-tritium (D-T) plasma. We propose a method to drive a cavity collapse through direct interaction between the liquid liner with pressurized gas. Our method involves the use of passive check valves to provide a cost-effective and partially reversible process of collapse generation. A subscale cylindrical rotating cavity experiment is designed and constructed to analyze the performance of the concept using pressurized air and a water liner. A high-speed camera and image processing methods are used to identify the trajectory of the free surface of the water liner and identify the impact of rotational speed and gas pressure on the cavity collapse. Experimental data is compared with a simplified dynamic model derived from inviscid Navier-Stokes equations, and two-dimensional axisymmetric computational fluid dynamics (CFD) simulations with the commercial code Ansys Fluent. We see agreement between experiment and both numerical approaches within measurement uncertainty. We discuss how our results will inform the development of larger-scale prototypes.
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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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".