An experimental study of archimedes screw pump efficiency
Bibliographic record
Abstract
Abstract: Archimedes screw pumps (ASPs) are an established low head pump technology that has been used for millennia to lift water. However, there is little literature available on the design of ASPs, and ASP theory is not well enough developed to enable full simulation of an ASP in efficient parametric models that would allow optimization studies. Complete datasets in which all important operating parameters are reported are also extremely rare in the literature. The experimental study reported here is an initial effort to provide additional useful ASP experimental data for research use. Experimental measurements are reported for a laboratory-scale ASP to characterize pumping efficiency as a function of lower and inlet basin water levels, as well as screw rotation speed. Comparisons are made to existing literature to assess the findings through the experiment. Pumping efficiency was sensitive to lower basin water levels, with efficiency declining once the inlet water level exceeded 80% of the screw inlet height. It was confirmed that ASPs should be operated with a lower basin level of 70 % to 80 % of screw inlet height for optimal efficiency. The study also identified an upper basin water level for maximum efficiency. The effect of upper basin water level on power was also examined.
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".