The Design Of A Quick Release Attachment Mechanism For A Hydrofoil Board
Bibliographic record
Abstract
The primary objective of this project was to design a quick attach and detach system for use with a surfing foilboard. Foilboards are comprised of a board, mast, and fuselage, onto which wings are attached. These components are generally held together by long bolts, which makes the overall board tedious to assemble and disassemble. Research was conducted on the general concept of attaching components rigidly as well as on the market of current foilboard quick attach mechanisms, and a series of conceptual designs were created from it. All design concepts were rated using metrics generated from both the project objectives and market research, and the top-rated concept was then drawn up in Solidworks. Several design iterations were developed in order to meet both the minimum 300g weight, tensile and compressive strength, and attachment/detachment speed requirements. The design iterations were first validated using a series of Solidworks simulation analyses. Subsequently the final design candidate was analysed using a series of ANSYS Static Structural simulations. The final design can withstand the loads and torques during regular usage as well as cases of the rider standing on the side of the mast while the board is at rest. The design can be attached or detached within one second. It can survive up to 8.769x105 cycles of maximum cyclical loading and is easy to clean.
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
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".