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Record W7116867689 · doi:10.17760/d20741553

Mechanical and tribological properties of cold sprayed Ni/CrC-NiCr metal matrix composites

2025· dissertation· W7116867689 on OpenAlexaboutno aff
Sohayb Batwa

Bibliographic record

Venuenot available
Typedissertation
Language
FieldEngineering
TopicHigh-Temperature Coating Behaviors
Canadian institutionsnot available
Fundersnot available
KeywordsCermetCeramicNichromeTribologyMicrostructureGas dynamic cold sprayRaw materialThermal sprayingChromium

Abstract

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Cold spray (CS) is a solid-state deposition method involving severe plastic deformation of micron-sized powder particles accelerated to supersonic speeds. These particles are propelled through a compressed gas stream, such as air, nitrogen, or helium, using a de Laval nozzle. Since CS operates at low temperatures, no melting takes place during deposition. This offers a distinct advantage over other thermal spraying techniques, resulting in unique and significant advantages. Metal-matrix composites (MMC) combine the high hardness, wear resistance, and thermal stability of ceramics with the ductility, toughness, and thermal conductivity of metals.In the development of coatings through CS technology, the feedstock powder is crucial for achieving the desired engineering properties, and it becomes more significant when cermet MMC powders are used. This dissertation aims to experimentally investigate the mechanical and tribological properties of a cold-sprayed cermet based MMC. Chromium carbide-nickel chromium (CrC-NiCr) was used as the cermet particle, where CrC is a ceramic and NiCr is a ductile binder. This cermet particle was used in the MMC by using Ni as the overall binder. Therefore, the MMC is designated as (CrC-NiCr)/Ni. The first part of the study focuses on: (i) investigating the influence of increasing the metallic (NiCr) binder percentage in the cermet particle, and (ii) exploring the effects of varying the matrix-to-cermet ratio, i.e. Ni to (CrC-NiCr) ratio, in the feedstock blend on the microstructure and mechanical properties of the CS deposits. Results indicate that increasing the binder phase percentage in the cermet particles enhances deposition efficiency, cermet area fractions, and interparticle adhesion. This also results in coatings with porosity less than 1%, as well as improved ductility and shear strength. To address inter-splat defects and brittleness of the MMCs, the second part of this study examines the effects of post-spray annealing on the mechanical properties and microstructure. Scanning transmission electron microscopy (STEM) demonstrated improved interparticle bonding between matrix splats, with fractographic analyses indicating a shift from brittle to ductile fracture mechanisms. Mechanical tests reveal that post-process annealing significantly enhances the ultimate tensile strength (UTS), elongation, and adhesion shear strength of the coatings, however, it adversely affects coating hardness. The third part of this study investigates the effects of various post-spray heat treatments on the microstructure and tribological behavior of cold-sprayed Ni/CrC-NiCr metal matrix composite (MMC) coatings. Post spray (PS) laser heat treatment (LHT) and plasma arc heat treatments (PAHT), along with two furnace annealing temperatures were employed. Results show the wear rate of the MMCs is significantly influenced by the type of heat treatment. PS-LHT and PAHT facilitated the formation of thin oxide tribofilm (mainly Cr2O3) that acted as solid lubricants, reducing metal-to-metal contact and abrasive wear.--Author's abstract

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.017
GPT teacher head0.256
Teacher spread0.238 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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