Comparison of Drag Reduction Characteristics During Hydro-Transport of Comminuted Wood Chips Through Pipelines
Bibliographic record
Abstract
Highlights Found evidence for drag reduction in comminuted wood chip slurry and quantified it. Fine wood chip slurries show flow behavior like agricultural residue slurries. Established upper and lower limits in the drag reduction regime for fine wood chip slurries. Identified three flow regimes in fine wood chip slurries, akin to pulp fiber and agri-residue slurries. Abstract. Pipeline hydro-transportation of forest residues helps in reducing the biomass feedstock's delivered cost compared to truck transport. This can subsequently help in establishing large-scale biorefineries. There is limited research on wood chips and water slurry transport through pipelines. In addition, there is no study on the comparison of flow regimes of wood chips and agricultural residue slurries. This research experimentally investigated the flow behavior of slurries made of milled wood chips and water. Experiments were carried out in a 25.5 m long, 50 mm diameter closed-circuit pipe loop test setup to measure horizontal pressure gradients. Pressure gradients were measured for wood particle sizes ranging from 1.3 to 3.2 mm, saturated mass concentrations ranging from 5% to 35%, and bulk velocities ranging from 0.5 to 5.0 m/s. The findings indicate evidence of drag reduction behavior in wood residue slurries with small particle sizes (< 2.6 mm) and aspect ratios (4–6). A 22% decrease in pressure drop was obtained, compared to water, when pumping 1.3 mm wood residues at a bulk velocity of 3.4 m/s and a saturated mass concentration of 25%. Comparing pressure drop values from tests on earlier research on agricultural residue slurry suggests similar flow behavior. However, the maximum drag reduction in wood residue slurries was 33% lower than that reported for agricultural residues. The findings from this study will be crucial in refining wood residue hydro-transport for cost-effective biomass conversion and for the development of large-scale biorefineries on woody biomass. Keywords: Biomass slurry, Drag-reduction, Flow regimes, Forest residues, Hydro-transport, Toms effect.
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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) | 0.000 | 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) | 0.002 | 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".