In-situ synthesis of TiC particles on low carbon steel by using laser cladding technique
Bibliographic record
Abstract
This paper describes the effect of laser parameters on the quality of an in-situ formed TiC-Fe based composite clad including titanium carbide morphology, distribution, and micro hardness of the clad. Pure Ti, graphite, and Iron with 325 mesh particle sizes were used for in-situ laser cladding in the Automatic Laser Fabrication (ALFa) Laboratory at the University of Waterloo, Canada. In-situ laser cladding enables the formation of a uniform clad by melting the powder to form desired composition from pure powder components. Since TiC has desirable properties, such as hardness, wear and corrosion resistance, Ti and Graphite (C) are used as a composite material (i.e., TiC) to increase hardness and wear resistance of AISI 1030 carbon steel. In this research, the effects of laser parameters, such as laser power, scan speed and powder feeder rate, on clad characteristics were investigated. Results show that using optimum laser parameters a uniform clad that is free of cracks can be produced. The resulting clad also reveals strong metallurgical bonding with the substrate. XRD, SEM and EDS data show that TiC is formed during the laser cladding in the Iron matrix.
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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".