Soil bin tests and discrete element modeling of a disc opener
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Soil disturbance and cutting force are two of the most common performance indicators for openers. These were investigated for a disc opener through measurements in an indoor soil bin and modeling using the discrete element method (DEM). In the soil bin experiments, the disc was tested at a constant depth of 37.5 mm and different tilt angles (0°, 10°, and 20°). Draft and vertical forces, and soil throw caused by the disc were measured. The DEM model was validated using the results from the experiments. The validated model was used to predict soil-cutting forces under various operational parameters. Both the experiments and the model showed an increasing trend of soil throw with the tilt angle. The model produced a decreasing trend for the draft force and vertical force, while the experiments did not show any particular trend. In comparison with the experimental results, the model results had relative errors of 10.5%, 1.9%, and 59.7% in predicting soil throw, draft and vertical forces, respectively. The draft force predicted with the model increased from 9.4 to 74.7 N following a polynomial equation when the gang angle of the disc was varied from 0° to 30°, and from 3.1 to 82.9 N following a polynomial equation as well when the working depth was varied from 12.5 to 75.0 mm. The model was able to produce well-defined trends of draft, vertical, and lateral forces of the disc opener.
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.
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 it