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Record W4206095612 · doi:10.1201/9781003203681-8

Surface Protection and Restoration of Mild Steel under Coating Technology

2022· book-chapter· en· W4206095612 on OpenAlexaboutno aff
Abdul Faheem, Faisal Hasan, Mohd. Gulam Waris Khan, Qasim Murtaza

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEngineering
TopicHigh-Temperature Coating Behaviors
Canadian institutionsnot available
Fundersnot available
KeywordsCoatingMaterials scienceMetallurgySurface (topology)Composite materialMathematicsGeometry

Abstract

fetched live from OpenAlex

Kinetic spray or cold spray (CS) is a metal deposition approach of additive manufacturing that is used to repair the damage or corroded components. Cold spray additive manufacturing (CSAM) is a solid-state deposition technique that works under the high-velocity impact of particles using a de Laval nozzle. A convergent section CS nozzle was designed through numerical modeling. The main factors significantly affecting temperature and particle velocity include the length and diameter of the convergent barrel side, accelerating gas and its particle size, pressure, and temperature. In this study, a numerical approach using finite-element methodology (FEM) and Abaqus/Explicit has been integrated with the experimental investigation. Micro-sized metallic particles, especially nickel, have been used as the coating material on the substrate of mild steel at normal temperature. The characterization technique of scanned electron microscopy and transmission electron microscopy has been also used for the validation of this work. FEM with Abaqus/Explicit has been also used to understand the interface bonding between the particle and the substrate.

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 categoriesnone
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 score0.387
Threshold uncertainty score0.961

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.025
GPT teacher head0.226
Teacher spread0.202 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2022
Admission routes1
Has abstractyes

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