SEWHAPM: Development of a Water Hydraulic Axial Piston Motor for Underwater Tool Systems
Bibliographic record
Abstract
Water hydraulic motor (WHM) is an important transmission component in a water hydraulic system. Because of different physicochemical properties of raw water when compared with mineral oil, the design for the WHM would be different from that for a mineral oil one. A static equilibrium-type water hydraulic axial piston motor (SEWHAPM), which is equipped with a global-moment-balanced plate valve and a hydrostatic slipper bearing with a concentric gap damper, is developed in this research. The mechanism of the global-moment-balanced plate valve is analysed to eliminate the irregular wear of the plate valve. Next, the relevant design guideline is constructed. A mathematical model of the hydrostatic slipper bearing is established, and the performance characteristics of the bearing are discussed. The theoretical analyses indicate that the load-carrying capacity of this hydrostatic slipper bearing is not correlated with system pressure, water viscosity, temperature, or rotor speed, and that the lubrication film thickness of the bearing possesses high rigidity. The fundamental principle for designing the hydrostatic slipper bearing is also derived. On the basis of a material-screening experiment, a SEWHAPM is fabricated and tested on a water hydraulic-component-performance test stand. The experimental results show that developed SEWHAPM is feasible, with its volumetric, mechanical, and total efficiencies being ∼86, 80, and 70 per cent, respectively, under a pressure of 10 MPa. The maximal output torque can reach ∼19.5Nm; the maximal speed can reach 3000 r/min. As a result of the aforementioned development, the SEWHAPM has been successfully used in an underwater tool system since 2002, and its performance has been tested, demonstrating that the developed equipment can meet the regulated requirements for its practical applications.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".