The Arc Movement as a Source of Process Instability for Single-Cathode-Anode Systems – A New Method for Direct Investigation
Bibliographic record
Abstract
Abstract The almost uncontrollable arc movement in a single-cathode-anode system limits the efficiency and process stability of this global used DC plasma spraying technique. A successful approach to stabilize the arc anode attachment and thus to increase process efficiency was the replacement of the convergent-cylindrical nozzle geometry by a convergent-divergent nozzle geometry with Laval contour. However, the advantages of this nozzle design were connected to an increased anode erosion caused by an excessive heat input from the anode attachment of the arc. Prerequisite for an optimization of the arc movement is its technical measurement and the dedicated correlation out of it with the plasma jet and the trajectory of injected powder particles. For this purpose Technical University of Berlin developed a new optical analysis method based on high-speed video recording to examine the arc movement, its position and intensity. The software based data together with the simultaneous measured voltage of the corresponding DC-arc clearly show for example the dependence of the arc movement from the position of the cathode tip in relation to center axis of the anode, impressively demonstrated for a new three-zone anode (convergent, conical and divergent). Thus a new tool is given to the developer of new anode geometries for increasing process efficiency and the lifetime of the single-cathode-anode system.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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".