Microstructure and third-body behavior of Cu-MoS2-TiC composite coatings deposited by cold spray
Bibliographic record
Abstract
To investigate the effect of ceramic particle addition on the properties of cold sprayed MoS 2 -based metal matrix composite coatings, Cu-MoS 2 and Cu-MoS 2 -TiC coatings were deposited using feedstocks containing 0 (CM), 15 (CM-15T), 30 (CM-30T) and 50 (CM-50T) wt% TiC, respectively, while maintaining a constant MoS 2 ratio of 5.5 wt% relative to the combined Cu and MoS 2 powders. The influence of TiC content on the coatings microstructure and mechanical properties was systematically evaluated. TiC addition led to a tamping effect that densified the coatings and enhanced plastic deformation of the Cu matrix, thereby improving cohesion strength as well as nano- and micro-hardness. However, MoS 2 retention decreased in CM-30T and CM-50T. Polished coating surfaces were tested for reciprocating sliding wear using a ball-on-plate tribometer in dry air and nitrogen, with Al 2 O 3 spheres as counterbodies. CM showed low coefficients of friction but the highest wear rate in both environments because of its inferior mechanical properties. In dry air, CM-15T demonstrated the lowest friction and superior wear resistance, attributed to its high MoS 2 retention and improved mechanical properties. Mild abrasive wear in CM-15T suggested a significant reduction in adhesive wear which was dominant for the other coatings. In nitrogen, adhesive wear was minimal for all coatings. The high MoS 2 content in CM-15T contributed to low coefficients of friction. CM-50T exhibited the lowest wear rate, benefiting from its high hardness, enhanced cohesion strength, and more retained TiC particles that facilitated the fast formation of hard tribo-layers. These findings highlight the interplay between tribological behavior, mechanical properties, tribo-oxidation, and third-body effects in metal matrix composite coatings incorporating solid lubricants and hard phases. • Three Cu-MoS 2 -TiC composite coatings were produced using cold spray. • TiC addition induced a tamping effect in cold spray, enhancing coatings mechanical properties. • Sliding wear performance of the coatings was studied in dry air and nitrogen environments. • MoS 2 and TiC retention, coatings mechanical properties and tribo-oxidation influenced friction and wear.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".