Excellent wear performance of magnesium alloy from composite modified layer containing TiC coating and gradient microstructure
Bibliographic record
Abstract
• A composite modified layer containing TiC coatings and gradient microstructures was created on magnesium alloys. • The composite modified layer achieves higher hardness and compressive residual stress. • Superior wear performance was obtained through the synergistic effect of TiC coatings and gradient microstructures. The inferior wear resistance of magnesium alloys severely restricts their broader application. In this study, a novel method (referred to as SUSP) combining ultrasonic shot peening with TiC particles was explored, which fabricated the composite modified layer containing TiC coatings and gradient microstructures on the surface of AZ80 magnesium alloys. Detailed characterization and experimental analysis demonstrated that the SUSP-treated sample achieved a peak hardness of 3.04 GPa and a maximum compressive residual stress of –125.1 MPa. The SUSP-treated exhibited excellent wear performance with a reduction in wear rate of 77.45 % and 62.72 % compared to untreated and conventional ultrasonic shot-peened samples, respectively. This improvement resulted from the synergistic effects of TiC coatings and gradient microstructures, which considerably reduced abrasive, fatigue, and adhesive wear. This study presents a novel strategy for enhancing the wear resistance of magnesium alloys and offers potential technical support to extend their lifespan in the aerospace, automotive, and biomedical fields.
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How this classification was reachedexpand
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) | 0.000 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".