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Advancements in static screen technology for enhanced coal processing applications

2025· article· fr· W4416064286 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMATEC Web of Conferences · 2025
Typearticle
Languagefr
FieldEngineering
TopicCyclone Separators and Fluid Dynamics
Canadian institutionsBarrick Gold (Canada)
Fundersnot available
KeywordsSizingCoalWedge (geometry)Field (mathematics)Screen printingEnhanced Data Rates for GSM Evolution

Abstract

fetched live from OpenAlex

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.857
Threshold uncertainty score0.735

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.008
GPT teacher head0.276
Teacher spread0.268 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it