PROTOTYPE DEVELOPMENT OF A LIGHT SPORT AIRCRAFT SWITCHED RELUCTANCE MOTOR
Bibliographic record
Abstract
The increasing global emphasis on reducing greenhouse gas emissions has amplified interest in the electrification of light sport aircraft, particularly for training and recreational purposes. A Switched Reluctance Motor (SRM) is a groundbreaking technology in this field, offering a cost-effective, robust, and efficient alternative to permanent magnet motors. Its straightforward design and ability to perform reliably in elevated temperatures and high-speed make it suitable for aviation applications. While there are challenges surrounding the manufacturing and assembly of SRMs, their strengths position them as a strong contender in the market. The prototype development presented in this thesis focuses primarily on the mechanical design, manufacturing, and assembly of an SRM with a stator outer diameter of 280 mm and a relatively small airgap length of 0.4 mm airgap length between rotor and stator. The proposed SRM is designed to be a direct replacement for a 70 kW Permanent Magnet Synchronous Motor (PMSM) to meet the stringent volume restrictions and operational requirements specific to an aerospace application. This research investigates manufacturing techniques of motor components, precision assembly of rotor and stator cores. Challenges including dimensional accuracy, thermal management, and proper motor component assembly are also discussed. Maintaining mechanical alignment and a small air gap is critical and essential to the motor's efficiency and functionality. This work presents the SRM as an alternative for the electrification of light sport aircraft, contributing to more sustainable aviation solutions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".