Development of a low cost micro-pump
Bibliographic record
Abstract
There is a growing demand for micro-pumps as a subcomponent in micro-fluidic systems. In order to make micro-pumps more suitable for most of cost-sensitive mass applications such as micro cooling systems, fuel cells and disposable biomedical applications, a design targeted toward lowest manufacturing cost, high endurance, and reliability is devised for the micro-pump. In this work, a check-valve micro-pump with a piezoelectric motivator was selected as a low cost design. By following a modular design approach, the total number of parts to be manufactured is minimized. This design is composed of four parts, the upper and lowers casing halves, a single plate inlet and outlet valve, and a piezoelectric disc. To achieve high durability and reliability, stainless steel shim stock was selected as the valve material. Micro-injection moulding and chemical etching processes were selected for the fabrication processes of the casings and the valve, respectively. Also, to facilitate the assembly process and for sealing the micro-pump casing, a heat press method of assembly was designed and tested. To predict performance of the micro-pump, a modular simulation model was developed. In this model, results from static flow testing of the micro-valves, piezoelectric displacement test, and finite element structural analysis were incorporated in the model. As a result, a practical model for predicting the micro-pump performance at operating frequencies below 50 Hz is achieved. This simulation model can be useful in parameter selection, optimization and also micro-valve selection for different application requirements of the micro-pump. As a result of this work, by applying design for manufacturing and mass fabrication methods to the overall micro-pump design, a low cost micro-pump designed for high performance and useful to a variety of applications is obtained.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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 | 0.001 |
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".