Multiphysics Finite Element Modeling of Current Generation of Bare Flexible Electrodynamic Tether
Bibliographic record
Abstract
The paper develops a coupled multiphysics finite element method to analyze satellite deorbit by a bare flexible electrodynamic tether. Unlike the existing approaches, the current method assumes that the tether is flexible and deflectable, and its efficiency of electron collection varies along the tether length depending on tether deflection. The orbital motion limited theory, which dictates the electron collection by a bare tether, is discretized and solved with the same finite element mesh as the tether dynamics to couple the electron collection with the tether flexural deflection. The advantages of the new method are demonstrated by numerical simulations. Compared with a reference method based on straight tether assumption, the coupling effect between the electron collection and tether deflection is significant, leading to the dynamic variation of electrodynamic force acting on the tether. Although the deorbit rates predicted by these two methods are almost the same, the new method predicts a shorter stable deorbit period than the reference method. It demonstrates that the new method is more accurate, and it should be used for detailed engineering design.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".