Laser cladding of functional coatings for biomedical applications
Bibliographic record
Abstract
Surface coating can be used to enhance and/or optimize the functionalities of medical implants and devices. Laser cladding, a material additive technology, has a potential to apply various functional coatings on the metallic materials for biomedical applications. Two laser clad coatings have been investigated for potential medical implant applications: (1) Ti-6Al-4V alloy coating laser-clad on porous titanium foams; and (2) Composite coating of Ti-6Al-4V combined with CoCrMo alloy laser-clad on solid Ti-6Al-4V substrates. The microstructure of the laser-clad coating was examined by optical microscope (OM) and scanning electron microscope (SEM). Microhardness was measured in the laser-clad coating. Sliding wear testing was particularly performed to evaluate the wear resistance of (Ti-6Al-4V + CoCrMo) composite coating using pin-on-disc wear testing. Initial results show that laser-clad Ti-6Al-4V coating on porous titanium foams is dense and crack-free. The addition of a small amount of CoCrMo alloy will significantly increase the wear resistance of the Ti-6Al-4V composite coating.
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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) | 0.002 | 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 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".