Simulation of PDMS microcantilever deflection using integrated optical fibers
Bibliographic record
Abstract
In this paper, a fully integrated flow sensor is designed and simulated. The sensor involves three PDMS layers, monolithic integration of microfluidic channels and detection unit. The middle thin layer includes the PDMS microcantilever and the microchannels network. The thin layer is sandwiched between the bottom and top PDMS layers to provide microfluidic environment and to release the cantilever for deflecting. The pressure difference on the cantilever causes the cantilever deflection. The optical fibers are embedded in the optical channels to send the light to the gold deposited cantilever tip and to detect the reflected light. Finite element analysis is done using COMSOL Multiphysics 3.5. Fluid structure interaction is done on the cantilever to find the cantilever defection in response to fluid flow in the microchannels. Optical power loss due to cantilever deflection is simulated by two integrated optical fibers. The numerical results confirm the feasibility of detecting the PDMS cantilever deflection in the range of regular microfluidic fluid flows.
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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 | 0.000 | 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 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".