Advancements in static screen technology for enhanced coal processing applications
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
Static screens are widely used in coal preparation for desliming, dewatering, and sizing due to their simple operation, low cost, and compact design. However, traditional screens with stainless steel wedge bars face challenges such as material buildup, declining efficiency, frequent maintenance, and high operational costs.Derrick Corporation has introduced an innovative static screen featuring its third-generation surface technology, Trilogy™. This design improves feed distribution and operational efficiency by 10-30% compared to conventional sieve bends, as shown in the data presented in the paper. The new screens also maintain efficiency over time due to better wear characteristics of the synthetic material, which preserve sharp opening edges and support higher capacities through larger open areas and improved flow distribution.Lab tests and field trials in the U.S. have shown significant improvements in screen life, capacity, and profitability. This paper will present lab test data and case studies demonstrating the superior performance of Derrick's static screen technology.
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 | 0.001 |
| 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