Conceptual Demonstration of Hydrogen Peroxide Based Electrochemical Propulsion with Rotating Gliding Arc
Bibliographic record
Abstract
The development of high-performance green monopropellant-based small thrusters is essential for successful multipurpose space missions. This study experimentally demonstrates a novel electrochemical propulsion system that leverages rotating gliding arc (RGA) plasma to enhance the performance of 88 wt% hydrogen peroxide. This is the first electrochemical propulsion system that utilizes catalytic decomposition gases of hydrogen peroxide directly as plasma-forming gases and an alternating current (AC)-based RGA. The system employs an AC power supply operating at a 20 kHz frequency, combined with a swirler and an anchoring component that ensures geometric stabilization of the arc column. This configuration enabled stable plasma discharge under high-temperature ([Formula: see text]) and high-pressure ([Formula: see text]) conditions. The propulsion performance of the plasma reactor was significantly improved by rapidly heating the discharge gases, which were then accelerated to supersonic speeds through a De-Laval nozzle. In the electrochemical operation mode, this process led to consistent enhancements in both chamber pressure and characteristic velocity, achieving approximately 1.4- and 2-fold increases, respectively, compared to the chemical mode (without plasma discharge). The novel propulsion concept can provide a universally applicable solution capable of enhancing the performance of chemical propulsion systems with plasma discharge.
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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".