Cladding of Tungsten Carbide and Stellite Using High Power Diode Laser to Improve the Surface Properties of Stainless Steel
Bibliographic record
Abstract
Surface engineering is one of the most viable methods, in addition to development of new alloys and equipment design, to minimize degradation due to cavitation erosion, and corrosion. Laser surface cladding is relatively a newer engineering technique to produce metallurgically bonded coating for industrial applications due to its inherent benefits. Present paper reports the results obtained on the laser cladding of stainless steel with tungsten carbide (WC) and stellite alloy powder using high power diode laser (HPDL) at various laser parameters. Cladded specimens were characterized for erosion, and corrosion resistance. Both WC and stellite cladding have increased the erosion resistance of stainless steels. WC cladding was found to reduce the corrosion resistance of steel while stellite showed it to increase significantly.
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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 | 0.001 | 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".