A conceptual microchannel system design methodology incorporating axiomatic design theory for size-controllable monodispersed microsphere generation by a liquid chopper utilizing a PZT actuator
Bibliographic record
Abstract
This paper proposes a design methodology for conceptual design of microchannel systems by applying axiomatic design theory (ADT). The microchannel system concerned, as an example, in this paper is for the purpose of preparing uniform microspheres based on the phase separation principle. There are two general design goals for this system: controllability of the size of microspheres and uniformity or narrow size distribution of microspheres. The conventional microchannel system designs in literature are found to be the so-called ‘coupled design’, which is regarded as a poor design, according to ADT. This paper proposes a ‘decoupled design’ process, which is considered better than a ‘coupled design’ process according to ADT. This paper demonstrates the effectiveness of such a ‘decoupled design’ process with a new microchannel system with an embedded liquid chopper utilizing a PZT actuator by simulation.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".