Compliant Mechanism Design for IOL Haptics Using Topology Optimization
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
Based on the biological data and adjustment mechanism of human eyes,a biomechanical model was established. In which the haptics of intraocular lens were analyzed by structural topology optimization method,and then a basic framework structure was obtained. The results of kinematics analysis of the mechanism show that the maximum displacement of target element reaches the expected goal. A fully compliant mechanism was conducted in this paper by using finife element method,followed by displacement analysis and stress analysis. The analysis confirms that the mechanism design is capable of amplifying motion,and indicates that structure of haptics can be improved or designed by using topology optimization method,finite element method and design theory of intraocular lens. The output displacement of compliant mechanism is 3. 34 times higher than that of input after topology of this model.Meanwhile the forward displacement of optical part is increased and the visual quality can be improved theoretically as well.
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 | 0.000 | 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) | 0.000 | 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 it