Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The phase change in shape memory alloys (SMA) is highly nonlinear, and the development of advanced position ing applications for SMA actuators benefits from the availability of good models of this behaviour. One phenomenological model for SMA transformation kinetics is Madill’s model, which has recently been extended to include the effect of time varying stress. This extension allows for the modelling of stress disturbances and the simulation and prediction of stress-strain behaviour. In this work, we couple the phase kinetics of the extended model with a series-based mechanical model which includes both shape memory and superelastic behaviour. This coupled model is inverted and used to investigate different control architectures for sine tracking and stress disturbance rejection for an SMA actuator with constant load. Open-loop model-inverse feedforward control is compared with simple PI feedback and the combination of feedforward plus feedback. The results show in particular that using complicated inverse models does not always bring the expected increase in perfor mance, and that other limitations of SMA actuators can negate the benefit of model-inverse feedforward.
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.
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 | 0.001 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 0.005 |
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 it