Effect of sterilization on the corrosion behavior of orthopedic implants coated and uncoated
Bibliographic record
Abstract
The impact of sterilization on the corrosion behavior of orthopedic implants produced via Laser Powder Bed Fusion is analyzed in a biologically relevant environment. In a controlled environment at 37 °C, experiments were conducted to mimic a natural biological state. In a controlled oven at 50 °C for 20 min, AISI 316L stainless steel samples were prepped before primary testing. The experiment showed that sterilization leads to the development of a more efficient passive layer, resulting in improved corrosion resistance. The improvement in corrosion potential, pitting potential, and corrosion rate was substantial. A decrease in corrosion resistance is observed when TiN (Titanium Nitride) is applied. The findings suggest that sterilization can enhance the corrosion performance of 316L L-PBF implants, although this improvement may not apply equally to all coated components, such as those with TiN coatings.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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".