Investigation on the optimal preloading of thin polymer-based adhesives: A quasi-static analysis
Bibliographic record
Abstract
Different climbing robots relying on the use of polymer-based adhesives (PBA) have recently been prototyped. A common strategy used by these robots is to preload the PBA in order to maximize adhesion. This work focuses specifically on the behaviour of thin and slender PBAs under different loading conditions. A simplified two-dimensional analytical model of a slender PBA is developed by using a series of rigid links connected by revolute joints and torsion springs. It is assumed that a force is applied to one end of the slender PBA while the opposite end is fixed to a ground plane. The analytical model is validated with commercial software and subsequently used to investigate adhesion attachment. Parameters of the model are experimentally identified by using a PBA sample. An optimization is performed based on the developed analytical model and PBA shapes, which maximize preload, are identified.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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 teacher head, 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".