Corrosion resistance of hot-dip Zn-6%Al-3%Mg alloy coated steel sheet used in automotive parts
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
For the purpose of applying hot-dip Zn-6%Al-3%Mg alloy coated steel sheet ("Zn-Al-Mg") to automotive parts, we compared and investigated the corrosion resistance of Zn-Al-Mg and ordinary materials treated using a conventional rustproofing method ("post-Zn-coated material") exposed to accelerated corrosion test environments.We also collected automotive parts made from Zn-Al-Mg from vehicles that had been driven for three to five years in Canada to examine corrosion resistance capabilities when exposed to actual vehicle environment conditions.We found that Zn-Al-Mg exhibited better corrosion resistance than post-Zn-coated material, even at portions where the steel substrate was exposed (along cut edges and in bent or spot-welded portions).Such Portions of the Zn-Al-Mg were observed as being covered by fine and dense Zn corrosion products containing Mg, which suppresses cathode reactions (dissolved oxygen reduction reactions).As a result, elution of the coating layer around such portions was suppressed and favorable corrosion resistance maintained.The flat and bent portions of automotive parts made of Zn-Al-Mg collected from actual vehicles were covered by fine and smooth corrosion products, with only little corrosion being observed.It was thus confirmed that Zn-Al-Mg also exhibits excellent corrosion resistance in an actual vehicle environment.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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