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Record W7133097038

Mechanical Design of a Solar Array Drive Mechanism: The Microspace Way

2024· dissertation· W7133097038 on OpenAlexafffund
Georgy Pegarkov

Bibliographic record

VenueTSpace · 2024
Typedissertation
Language
FieldEngineering
TopicSpacecraft Design and Technology
Canadian institutionsUniversity of Toronto
FundersUniversity of Toronto
KeywordsPhotovoltaic systemSpacecraftSizingSolar mirrorSolar energyActuatorSolar powerMechanical energyMaximum power principle
DOInot available

Abstract

fetched live from OpenAlex

The most common approach to generate power for near-Earth spacecraft is to harness energy from electromagnetic radiation released by the sun. This can be achieved by mounting solar cells to the spacecraft’s outer surfaces or on external appendages, commonly referred to as solar arrays. Solar cells utilize the photovoltaic effect, and are most effective when their normal is parallel to the solar vector. Their effectiveness decreases proportionally to the cosine of the angle between their normal and the solar vector. If solar cells are mounted with a fixed orientation relative to the spacecraft, their effectiveness is dependent on the attitude of the spacecraft. One solution to optimize spacecraft power generation is to implement an actuated solar array that has the ability to track the sun independent of the spacecraft attitude. This thesis presents the author’s contribution to the design of a Solar Array Drive Mechanism (SADM) for use on small spacecraft at the Space Flight Laboratory (SFL). A mechanical architecture is developed for the SADM. Design loads are derived for the system bearings, providing a method for their sizing. The SADM drivetrain is analyzed to provide the means for sizing the actuator and power transmission components.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.927
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0010.001

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 head0.015
GPT teacher head0.269
Teacher spread0.253 · 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; both teacher heads agree on what is shown here.

Study designBench or experimental
Domainnot available
GenreMethods

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
Published2024
Admission routes2
Has abstractyes

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