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Record W4254397149 · doi:10.18280/rcma.303-404

Composites Prepared via Friction Stir Processing Technique: A Review

2020· review· fr· W4254397149 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueRevue des composites et des matériaux avancés · 2020
Typereview
Languagefr
FieldEngineering
TopicElectrical Contact Performance and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsFriction stir processingComposite materialMaterials scienceMicrostructure

Abstract

fetched live from OpenAlex

This review article investigates the mechanical and tribological properties of metal matrix composites (MMCs) prepared through friction stir processing technique. MMCs are developed materials with enhanced mechanical properties, exhibits their application in automotive and aerospace industries. The limitations of liquid metallurgical route can be reduced by using Friction Stir Processing (FSP) technique. FSP, a developed methodology technologically advanced by friction stir welding process is reviewed to fabricate the MMCs. In FSP, a hole or groove is made in the alloy. Reinforcement filled in the groove or hole are distributed in the matrix material by the FSP tool. Heat produced between the tool and the surface tends to the grain refinement. Owing to grain refinement, mechanical and wear properties of the composites are enhanced. In this review article, mechanical and wear behavior of the composite developed through FSP method are reviewed, which will help the researchers and industrial societies to fabricate the composite of required enhanced properties.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.660
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.001

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 head0.051
GPT teacher head0.305
Teacher spread0.254 · 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