Determination of Surface Topography and Composition of Cr-Free Pretreatment Layers on Hot Dip Galvanized Steel
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
Topography and composition of Cr-free, titanium-based pretreatment layers on hot dip galvanized steel were studied with scanning electron microscopy, atomic force microscopy, time of flight secondary ion mass spectrometry and Auger electron spectroscopy. A layer within the target coating weight range (4-10 mg Ti/m2) for industrial coil coating processes contained a micro-structure with hillocks and valleys, showing significant topographical variations. A local maximum film thickness of about 50 nm was detected for a sample containing 5.0 mg Ti/m2. The hillocks were composed of metal complexes and phosphates, formed as a result of rapid zinc dissolution and metal hydroxide/phosphate precipitation reactions. During the layer formation also the polymer component of the pretreatment chemical becomes embedded within the structure. The structure composed of hillocks and valleys may be highly beneficial for paint adhesion, increasing the surface contact area for primary and secondary chemical bonding
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 | 0.001 |
| 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