Transducer fabrication using a 355nm pulsed picosecond laser – Rapid prototyping of 40 Mhz composites, custom electrode patterns, and circularly symmetric curvable composite patterns
Bibliographic record
Abstract
In this work, a 355 nm pulsed picosecond laser dicing system is used to cut a 40 MHz 1-3 composite, an 11.6 MHz circularly symmetric 1-3 composite, and create custom electrode fanouts and element sub-dices for a 40 MHz phased array. The kerfs for the 40 MHz, composite, measuring 42 μm thick, were measured to be 3.2 μm and the pillars 15.8 μm square. kt was found to be 0.43 under no bias and 0.47 with a DC bias. The circularly symmetric composite shows a kt of 0.62 but contains spurious acoustic modes within the operating band which could be accounted for in the future by adjusting pillar spacing or changing epoxy filler. The circular composite has pillars designed to be 50 μm square, with kerfs of 30 μm. Total thickness is 148 μm which results in an 11.68 MHz resonance. A phased array electrode pattern was defined on a piezoelectric substrate with a fan-out geometry for electrical interconnect. This pattern contained features measuring less than 3 um in width. This array was subsequently kerfed fully through the piezoelectric substrate as well as sub-diced starting from within the array element.
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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 | 0.000 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".