Fiber laser cladding of Spherotene spherical fused WC/Inconel 625 metal matrix composite (MMC) coatings
Bibliographic record
Abstract
Many industrial tools/equipment require superior surface properties such as high abrasive wear and corrosion resistances as compared to their bulk materials in order to meet harsh operating environments in automotive tooling manufacturing, mining and mineral processing. One strategy is to deposit a layer of hardfacing metal-matrix-composite (MMC) coating onto the working surface of the tool/equipment. This study is to coat Spherotene® spherical fused tungsten carbides (WC) premixed with nickel-based Inconel 625 alloy powders as a binder onto the surface of low carbon steel substrate using a 500W fibre laser which possesses better beam quality, high efficiency, affordable cost, and can easily scale-up, as compared with Nd:YAG and CO2 lasers; the produced coatings free of cracks and pores are expected to offer high surface resistances to abrasive wear as well as corrosion. In this paper, fibre laser cladability, cracking susceptibility, phases and microstructures of spherical fused WC/Inconel 625 coatings are investigated using optical microscopy (OM), scanning electronic microscopy equipped with energy dispersive spectrometry (SEM/EDS) and X-ray diffraction (XRD) method.
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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) | 0.001 | 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 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".