Design of a Homogenizing System for Bio-degradable Food Waste from Eatery Centres
Bibliographic record
Abstract
Effective pre-treatment of food waste is important to ensure that subsequent treatment in a biogas plant works well. This paper describes a two-dimensional finite volume model for the design of a homogenizing system for bio-degradable food waste from eatery centers. The numerical solver incorporates the analysis of the property distribution for food waste slurry in a storage tank, while coupling the impact of mixing on the slurry fluid. The partial differential equations which describe the conservation of mass, momentum and energy are simulated. The simulation covered the mixing and heating cycles of the slurry. The slurry fluid was exposed to a pretreatment temperature of 600 C. With carrot-orange soup as the studied food waste, constant density and a temperature dependent viscosity are assumed. The predicted results for velocity, pressure and temperature distribution are discussed and a source term for mixing was proposed. This assessment of distribution of velocity and temperature is expected play a role in future studies and designs of a homogenizer for biodegradable food waste.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".