Correlation between temperature distribution and formed microstructure of in-situ laser cladding of Fe-TiC on carbon steel
Bibliographic record
Abstract
One of the unique aspects of in-situ laser cladding is to create a uniform clad by melting the powder and a thin layer of the substrate to form a composite of pure powder components with minimal dilution. Therefore, this technique can be an excellent candidate for hardfacing process by deposition of multiple clad beads side by side on a low cost base material. Since TiC has desirable properties such as hardness, wear and corrosion resistance, in this work, the hardfacing process of AISI 1030 carbon steel using titanium (Ti) and graphite (C) as a composite coating material (i.e., Fe(Ti)-TiC) is investigated using a numerical and experimental analysis. In order to study the microstructure of the TiC morphology and distribution in the clad, a 3D time-dependent numerical model and ternary phase diagram are used to interpret the experimental results along with the temperature distributions formed throughout the deposition process. The morphology and distribution of TiC particles are studied by means of SEM, XRD.
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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".