Induction cladding of alloys and metal-matrix composite coatings: A review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Induction cladding is a promising surface technology that combines the advantages of surface coatings and induction heating. It is an energy-efficient, environment-friendly, and cost-effective method that facilitates the fabrication of coatings with controllable thicknesses and ensures metallurgical bonding between the coating and the substrate. Owing to the high power-conversion efficiency of helical coil, induction cladding is particularly adaptable for the application of coatings on long shafts and rod parts, which find widespread use in mining and energy machinery. This paper provides a comprehensive overview of the state-of-the-art methods in induction cladding. Herein we focus on its mechanisms, cladding process and parameters, commonly used materials, simulations, innovative induction cladding technologies, industrial applications, problems, and future developments in this field.
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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) | 0.001 | 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 it