Wireless power transfer through metallic barriers enclosing a harsh environment; feasibility and preliminary results
Bibliographic record
Abstract
Modern sensor networks are evolving toward wireless interfaces for both power and data transmission. Design of these devices is challenging, especially when both power and data transmission must reach a harsh environment subject to high temperature, high pressure and through thick metallic layers. This paper reports the design and simulation of an inductive power transfer (IPT) system, which characterizes achievable link efficiency. The problem formulation comes from a family of aerospace applications in which electronic must operate at high temperature (500°C) and high pressure (100 bar) and in which a metal casing (15mm thick) isolates the harsh environment from the environment. Specifically, the requirements of booster rockets in aerospace industry are considered. The proposed IPT system was modeled and simulate d using COMSOL. Reported results demonstrate the feasibility of wirelessly transferring power to a high temperature and high pressure zone through various metallic layers using custom electromagnetic link configurations. Power transfer efficiencies of 38% and 15.5% are reported with Titanium and Steel metal booster interfaces at resonance frequencies of 450Hz and 220Hz respectively.
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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 | 0.000 |
| 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) | 0.001 | 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".