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Record W2014592712 · doi:10.1115/imece2004-59522

A Bypass Flow Control System to Improve the Transient Response of an Energy Efficient Hydraulic Pump-Motor System

2004· article· en· W2014592712 on OpenAlexaff
Tonglin Shang, Greg Schoenau, Richard Burton

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicHydraulic and Pneumatic Systems
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsOvershoot (microwave communication)Transient (computer programming)Variable displacement pumpControl theory (sociology)Transient responseHydraulic pumpHydraulic motorHydraulic machinerySteady state (chemistry)Axial piston pumpFlow (mathematics)Control systemEnergy (signal processing)EngineeringComputer scienceMechanicsControl (management)Mechanical engineeringPhysicsElectrical engineeringChemistry

Abstract

fetched live from OpenAlex

In this paper a hydraulic circuit that demonstrates both high dynamic performance and high energy efficiency is presented. The system uses a variable displacement pump which represents an energy efficient choice but can display poor transient response characteristics due to slow response of the pump. In this study, a DC motor is used to control the pump swashplate directly to increase the dynamic response of the pump. The problem with this arrangement is that the overshoot of the hydraulic motor is substantially increased. To reduce the effect of the overshoot, a bypass flow control system is utilized to bypass part of the pump flow during the transient. This allows the system to converge to steady state conditions more rapidly while maintaining an energy efficient 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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

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)0.0040.000

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 head0.004
GPT teacher head0.181
Teacher spread0.177 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2004
Admission routes1
Has abstractyes

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