The corrosion effect of dynamic liquid metal galinstan on stainless steel S31600/SS316 in the presence of selected refrigerants at temperatures up to 150 °C
Bibliographic record
Abstract
A corrosion study examined stainless steel (SS) S31600/SS316 after exposure to the liquid metal galinstan and gases, including nitrogen, n-pentane, isobutane, and R245fa, at 150 °C under dynamic conditions for 3.5, 9.5, and 20.5 days. Ampules partly filled with galinstan and the gas were continuously stirred to create regions of gas-only, gas–liquid, and liquid-only exposure. Posttest examinations used a variety of qualitative and quantitative methods (visual observation, scanning electron microscopy with energy dispersive X-ray spectroscopy, surface profilometry, and chemical analysis) to evaluate coupons and galinstan samples for evidence of corrosion. In the gas-exposed region, no corrosion was detected in any coupon. In the liquid region, galinstan constituents were found to be localized to grain boundaries for nitrogen and isobutane coupons but dispersed on n-pentane coupons; a gallium oxide layer was found on R245fa coupons. In the liquid–gas interface region, severe corrosion was found on the n-pentane 20.5-day and the isobutane 9.5- and 20.5-day coupons; fine scattered corrosion on the R245fa 9.5-day coupon but not on the 20.5-day coupon was observed. Profilometry results indicated the least roughness change for coupons in n-pentane, a higher change in nitrogen, then in isobutane, and the highest in R245fa. In the presence of refrigerants and under dynamic conditions, intergranular attack on SS may be enhanced by chemical reactions combined with microsegregation of galinstan or gallium oxide elements on SS grain boundaries. Further work is required to confidently identify and explain this corrosion mechanism.
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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) | 0.001 | 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".