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Record W4403753025 · doi:10.1115/fpmc2024-140074

Design of Digital Displacement Pump Systems With Multiple Pumps

2024· article· en· W4403753025 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicEngineering Technology and Methodologies
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsComputer scienceDisplacement (psychology)

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.958
Threshold uncertainty score0.276

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.033
GPT teacher head0.237
Teacher spread0.205 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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