Design of Digital Displacement Pump Systems With Multiple Pumps
Bibliographic record
Abstract
Abstract Digital Displacement Pumps (DDPs) are hydraulic pumps which operate on the concept of enabling or disabling individual pistons of a radial piston pump. This allows for the combination of the high efficiency of radial piston designs with the flow control capability of a variable displacement design. In the most efficient mode, where each piston is fully enabled or disabled for an entire stroke of the piston, this results in a pulsing flow at the pump outlet. In some cases, this can result in undesirable levels of pressure pulsation with associated noise, vibration, and harshness. In previous work it has been shown that the design of the hose or piping immediately downstream of the pump can have significant effects on this pressure ripple. In this paper we expand this work to systems with two or more pumps in parallel. We present results comparing “star” and “rail” connection configurations and study the effects of line lengths and stiffness on generated pressure ripple. Simulation results are used to develop simple equations approximating resonance frequencies. Finally, we present guidelines for design of multi-pump DDP systems.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".