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Record W2897849153 · doi:10.2351/1.5061583

Thermal control managing for in-situ synthesis of Ti-C-Fe system by laser cladding on carbon steel

2009· article· en· W2897849153 on OpenAlexaff
Ali Emamian, Stephen F. Corbin, Amir Khajepour

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicHigh Entropy Alloys Studies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsMaterials scienceCorrosionCladding (metalworking)Composite materialCarbon steelComposite numberMetallurgyTitaniumGraphiteCoatingSubstrate (aquarium)

Abstract

fetched live from OpenAlex

In-situ laser cladding enables the formation of a uniform clad by melting the powder and substrate to form a composition from pure powder components. Since TiC has desirable properties such as hardness, wear and corrosion resistance, titanium (Ti) and graphite (C) are used as a composite material (i.e., TiC) to increase hardness and wear resistance of AISI 1030 carbon steel. To increase the corrosion, erosion, and wear resistance of a low grade material substrate the entire substrate surface must be coated by the multi-track cladding. Preliminary experiments indicate that deposition of multi-track of TiC-Fe base composite results in different TiC morphologies which might affect the clad properties. In this paper, effect of different heat input on TiC morphology has been studied.Results show that different heat input which are designed by laser parameters affect the TiC morphology. SEM and EDS data show that TiC particles are built up uniformly during the laser cladding process in the iron matrix with dissimilar morphologies.

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 score0.172
Threshold uncertainty score0.594

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 integrity0.0000.000
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 head0.005
GPT teacher head0.191
Teacher spread0.186 · 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

Citations4
Published2009
Admission routes1
Has abstractyes

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