Hardness and wear behaviour of TiC-Al/Si composite coatings made by laser cladding onto AL substrate
Bibliographic record
Abstract
This study investigates the influence of the composition and microstructure of laser cladded metal-matrix composite (MMC) coatings onto the hardness and the adhesive wear behaviour. Laser cladding was carried on pure Al substrate using a cw Nd:YAG laser and a coaxial powder injection system. Composite coatings were made of an Al/Si matrix containing 0 to 40 wt.% Si and a TiC reinforcement powder with a volume fraction ranging form 0 to 30 %. Samples were characterised using an optical microscopy, XRD, hardness measurement and adhesive wear testing (ball-on-disk device). Si content and TiC reinforcement ratio increased the bulk coating hardness up to a maximum value of 250 HV5. For a fixed TiC ratio, a linear correlation was observed between hardness and Si content. Depending on the TiC volume fraction and Si content, the wear behaviour appeared a mild, severe or surface fatigue wear. Hypoeutectic Al/Si alloys without TiC reinforcement showed a severe wear dominated by extensive plastic flow and significant wear scars. With the TiC addition, a mild wear, characterized by a low wear rate and a fine damage, was observed. In the case of hypereutectic alloys without TiC reinforcement, wear was also mild and the wear rate was similar to the one observed on Al-12Si/30 vol.% TiC coating. Addition of TiC reinforcements accelerated the wear of these hypereutectic alloys due to the surface fatigue.
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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".