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 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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 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".