New Aspects in Rotary Magnetostrictive Motor Operation
Bibliographic record
Abstract
Several types of electric motors utilized in servo-mechanism applications, responsible for rotational movement could not deliver the right amount of torque, required fairly large amount of electrical energy and significant space for installation and operation. These shortcomings triggered the idea to develop another type of rotational motor. Following years of intense research, scientists came with magnetostrictive motor. In this paper, the time variation of the magnetostrictive torque was determined and expressed for the full cycle of the periodical current carried by the actuator’s coil. The moment of separation between the rotor disk and the flexible friction element was precisely found out. The developed torque is a periodical function of time, with the same cycle as the periodical current carried by the actuator’s coil. Furthermore, in the paper was developed an analytical mathematical model which takes into consideration both regimes: the starting process and the running one. In this way, one can track the displacement of the operation point. The developed model includes, in a rigorous manner, the main elements concerning the operation of the magnetostrictive motor. All of the experiments have been performed using a magnetostrictive motor designed and built in-situ by the Department of Micro and Nano electro technologies, within the National Institute for Research and Development for Electrical Engineering, Bucharest, Romania. The experimental data confirm and complete the main theoretical developments from the paper.
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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 | 0.001 | 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 | 0.001 |
| 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".