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Record W1969558673 · doi:10.1109/plasma.2012.6383731

Study of an electrospray-based electric propulsion system for small satellites

2012· article· en· W1969558673 on OpenAlexaff
Martin Forget, Manish Jugroot

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicElectrohydrodynamics and Fluid Dynamics
Canadian institutionsRoyal Military College of Canada
Fundersnot available
KeywordsElectrosprayElectrohydrodynamicsSpacecraftAerospace engineeringPhysicsPropulsionElectric fieldNanotechnologyIonMaterials scienceEngineering

Abstract

fetched live from OpenAlex

Electric propulsion is highly efficient for both deep-space and near-earth applications and it is an excellent candidate for small satellites due to its inherent small size and high specific impulse. A colloid electrostatic thruster for small spacecrafts is investigated in the present work. The study aims to gain an increased understanding of complex underlying physical processes. A simulation approach was previously used to investigate the beam trajectories and have helped to design a laboratory model of the electrospray-based micro-thruster which has been characterized experimentally <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> . Interestingly, simulations can offer insights into the flows within the electrospray and offer critical local information difficult to measure experimentally due to the small scales. Thus, an electrohydrodynamic modeling of the transition of a charged liquid interface into a cone is described via a coupled formalism. The governing factors are accessed in order to precisely predict the initiation of the electrospray as well as capture the cone-jet mode of a focused beam of droplets or ions. Furthermore, in order to build a matrix of multiple emitters for use in a nano-satellite, the phenomena governing the transition in the electrospray has to be clearly understood. The competing processes in the cone-jet mode essential for optimization of a large-scale micro-thruster are fully discussed and compared. Moreover, interesting mixed modes comprising charged droplets as well as ions are explored in order to increase thrust or specific impulse.

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 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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.869
Threshold uncertainty score0.622

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 head0.010
GPT teacher head0.213
Teacher spread0.203 · 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 teacher head, 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
Published2012
Admission routes1
Has abstractyes

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