The Response of a Miniature Scale Cantilever Beam to High-G Impact Stimuli
Bibliographic record
Abstract
Many contemporary innovations in MEMS devices result from the miniaturization of existing macro-scale systems, exploiting changes in physical phenomena with scale. In terms of a system subject to mechanical stimuli, the response of the system changes significantly as scale decreases: in particular, natural frequencies increase and the system can sustain higher acceleration levels without damage. The objective of this paper is to investigate the response of a miniature scale cantilever beam to high-G impact stimuli in order to gain an understanding of its response. The test model is a machined aluminium cantilever-beam simply supported at one end. The beam cross section is 400 × 200 microns and has lengths of 4mm, 10mm and 20mm. The test bed is an Instron Dynatup 9250HV drop table. The beam response under impact is monitored using an IDT X-Stream XS-4 high-speed camera fitted with a telecentric 10x lenses. Theoretical and computer simulated models using ANSYS and LS-DYNA software are developed and compared with experimentally measured data to verify the accuracy of the techniques used to analyse the structural behaviour of the cantilever beams. The use of high-speed imaging when testing devices for short duration events proves to be beneficial for obtaining several data sets not achievable by post processing techniques.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.001 |
| 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 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".