Rapid Prototyping of Meso-Scale Fluidic Devices and Masters for PDMS Molding
Bibliographic record
Abstract
We describe a new and simple fabrication method that enables inexpensive and rapid prototyping of meso-scale fluidic systems and interconnect structures between micro- and mesoscale fluidic devices. Devices and systems are designed using simple CAD software and printed in a few minutes using an inexpensive MakerBot 3D printer. Printed structures are used directly or as a master for molding of polydimethylsiloxane (PDMS) structures via soft lithography. Using this method, input and output ports, and interfaces to a meso-scale fluidic board or between meso-scale fluidic components, can be placed with high geometric versatility. Our method offers a costeffective alternative to prototyping of meso-fluidic systems using conventional microfabrication, or using injection-molding/conventional machining of polymers. This paper introduces the MakerBot 3D printer for prototyping of meso-scale fluidic structures and shows a demonstration of interconnect between MakerBot-printed and PDMS structures. Initial results show that the cylinder and hole interconnect structures result in a reversible mechanical and fluidic bond.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.000 |
| 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".