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Record W7046311139

Development of a Plastic 3D Printed Valve for Small-Scale Electrohydrostatic Actuator Applications

2022· dissertation· en· W7046311139 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity Library (University of Saskatchewan) · 2022
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicAtomic and Subatomic Physics Research
Canadian institutionsnot available
Fundersnot available
KeywordsActuatorCylinderHydraulic cylinderValve actuatorMorphingInflatableHydraulic machineryPower (physics)MicropowerFlow (mathematics)
DOInot available

Abstract

fetched live from OpenAlex

Electrohydrostatic actuators (EHA’s) are well-known for their high power densities (ratio of actuator weight to actuator power) and good dynamic performance. While EHA’s dominate in high-power systems, lower-powered systems (< 100W) typically employ electromechanical type actuators, such as screw actuators, due to the unavailability of low-cost hydraulic components on an appropriate scale. Recently, the radio-controlled hobby industry has started producing small- scale hydraulic pumps and cylinders for model construction equipment. These hobby grade pumps and cylinders may be repurposed in an EHA configuration for use in more demanding applications but limiting this is the fact that no appropriate method of handling the unbalanced cylinder flows of a typical single-rod cylinder exist. An inverse shuttle valve is a simple and efficient solution to compensate for this mismatch of cylinder flows, and the recent progression of 3D printed plastics enables such a valve to be produced for a very low cost. This thesis develops the small-scale 3D printed plastic inverse shuttle valve concept and improves upon prototypes developed within the Fluid Power Research Group at the University of Saskatchewan. Presented in this thesis is a wide variety of experiments investigating and improving the performance potential of such a 3D printed inverse shuttle valve in a small-scale EHA application. The sealing capabilities of 3D printed plastic poppets and the effects of print orientation, surface lapping, valve size, fluid pressure and sealing time were experimentally assessed. The pressure drops of the flow paths in a prototype design were measured and reduced by an informed selection of tubing and fittings. Finally, a series of experiments explored the steady state, dynamic response, and thermal performance of an EHA designed with the newly developed inverse shuttle valve. Satisfactory poppet sealing performance was obtained by utilizing a lapping procedure to smooth the sealing surfaces and selecting sealing element geometries insensitive to misalignment. A low- restriction flow path between the pump and valve was identified to improve power efficiency and reduce the potential for pump cavitation. Testing of the EHA revealed impressive performance, with high force and velocity capabilities, good energy efficiency, and very fast dynamic responses. These results satisfied the research objectives, demonstrating that the use of a 3D printed inverse shuttle valve in a small-scale EHA system is a viable concept.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.008
GPT teacher head0.205
Teacher spread0.197 · 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 designBench or experimental
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
Published2022
Admission routes1
Has abstractyes

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