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Record W2972933520 · doi:10.2351/1.5118581

Comparative study of continuous and pulsed laser high-chromium steel (Fe-Cr-Ni-Mo-Mn) cladding

2016· article· en· W2972933520 on OpenAlexaff
Emna Abouda, Morgan Dal, Cyril Gorny, Pascal Aubry, Nabil Tarfa, I. Demirci

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicHigh Entropy Alloys Studies
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsMaterials scienceMicrostructureScanning electron microscopeCladding (metalworking)LaserCarbideElectron backscatter diffractionChromiumPulse durationMetallurgyComposite materialOptics

Abstract

fetched live from OpenAlex

Series of experiments of high chromium steel (Fe-Cr- Ni-Mo-Mn) laser cladding over a 316L substrate have been carried out in both pulsed and continuous modes, using an Yb-YAG disk laser. The investigation focused on the effects of cladding parameters such as laser pulse energy, duration and travel speed, on cladding properties including dimensions, microstructure and hardness. The different claddings obtained in this study were characterized in terms of microstructural changes, phase composition, and carbide distribution and morphology using Optical Microscopy (OM), Scanning Electron Microscopy (SEM) and Energy Dispersive Spectroscopy (EDS). Also, the size and the orientation of the grains in the clad after rapid solidification have been observed by electron backscattered diffraction (EBSD). It was observed that the use of pulsed laser resulted in finer microstructure and higher hardness. Wear tests were performed using pin-on-disk device under argon to prevent sample oxidation, at room temperature for pulsed and continuous laser power. Different wear mechanisms were observed, with pulsed laser cladding and high duty cycle exhibiting better wear resistant. Indeed, the lowest average friction coefficient is obtained with pulsed laser and is relatively stable with the change in sliding time. The relationship between the scale of the dendritic network and the corresponding wear behavior has been discussed.

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 score0.327
Threshold uncertainty score0.612

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.014
GPT teacher head0.232
Teacher spread0.218 · 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
Published2016
Admission routes1
Has abstractyes

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Same topicHigh Entropy Alloys StudiesFrench-language works237,207