Exploring an Energy-Based Model in Comminution
Bibliographic record
Abstract
Abstract Comminution devices use about 50% of the total energy in mine sites due to low efficiency and wastefulness of their operations. This study aims to provide a framework for improving efficiency of comminution processes by discretizing the relative distribution of various energy forms in the comminution process. Comminution theories are mainly based on the ore's size distribution and consequently do not adequately address other imperative phenomena such as media wear and energy utilization efficiency. We suggest an energy-based methodology that provides a common ground for comparing seemingly different aspects involved in comminution, most notably ore breakage, the media wear, and energy utilization efficiency. The experimental tests here were conducted using the Steel Wheel Abrasion Test (SWAT) highlighting the relationship between test variables, including media wear, ore breakage and energy efficiency. In addition, preliminary experimental results show interesting connections between various energy forms involved in comminution that is of high use in future design and performance optimization of comminution devices.
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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".