Frictional wear properties of different nano La2O3 composite FeCoNiCrMo high-entropy alloy coatings under soil conditions
Bibliographic record
Abstract
In order to mitigate the problem of wear during the working process of earth-touching implements, in this study, nano La 2 O 3 -doped HEA (FeCoNiCrMo) coatings with different dopant contents were fabricated on the surface of 65Mn steel by laser cladding technology, Effects of the coatings on tribological properties of 65Mn steel were investigated in both dry ambient and dry soil environments. The microstructure, chemical composition, hardness, and tribological properties of the wear-resistant La 2 O 3 -doped composite coatings were evaluated. Results of the study show that La 2 O 3 can reduce the incidence of pores in HEA coatings. La 2 O 3 can effectively increase the hardness and wear resistance of the coatings, but too much La 2 O 3 may negatively affect the hardness of the coatings and thus their wear resistance. In dry friction and soil environments, coatings at 0.8% consistently show the lowest wear and the best abrasion resistance properties. In soil environments, the modes are mainly oxidative and adhesive wear, and soil particles act as a buffer medium to greatly reduce the amount of wear.
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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 | 0.001 | 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".