The origin, measurement and control of fine particles in non‐aqueous hydraulic fluids and their effect on fluid and system performance
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
Abstract When assessing the cleanliness of industrial hydraulic fluids, current procedures focus on particles above 4 µm in size. However, the use of more sophisticated techniques has confirmed that substantial numbers of much smaller particles can be formed in use — mainly by high‐temperature degradation processes. The paper outlines the mechanisms for fine particle generation and procedures for their measurement and control. Significant quantities can adversely affect fluid surface‐active properties and hinder the operation of system components. The effect of flow electrification or applied electrical fields to assist filtration is also discussed. The paper suggests that residual charge could stabilise particle dispersions, assist the depletion of dispersed anti‐foam particles and affect foam stability. An extension of the ISO 4406 cleanliness code to quantify the presence of fine particulate is recommended as is the need for further work to investigate the limits that should be placed on their presence in different applications. Copyright © 2015 John Wiley & Sons, Ltd.
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 | 0.001 | 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 it