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Enhancement of Mechanical Properties of Medium Carbon Steel by Formation of Ultra- fine Bainitic Microstructures

2020· dataset· en· W3173443041 on OpenAlexaff
Sherif Ali, Ahmed Y. Shash, Mohamed Kamal El-Fawkhry, Ahmed Ismail Zaky Farahat, Taha Mattar, Iman El-Mahallawi

Bibliographic record

VenueAuthorea · 2020
Typedataset
Languageen
FieldEngineering
TopicMicrostructure and Mechanical Properties of Steels
Canadian institutionsCanadian MPS Society for Mucopolysaccharide and Related Diseases
Fundersnot available
KeywordsIsothermal processMaterials scienceCementiteDuctility (Earth science)MicrostructureAlloyMetallurgyUltimate tensile strengthIsothermal transformation diagramCarbon fibersWork (physics)Carbon steelComposite materialBainiteAusteniteMechanical engineeringCorrosion

Abstract

fetched live from OpenAlex

In this work, ultra-refined bainitic structures are obtained in medium carbon steel through control of alloy design (Si and Al content) and low temperature isothermal bainitic transformation heat treatment. The chemical design of the steel was modified by using varying Al ratios and the steel was heat treated by isothermal transformation. The tensile strength and ductility were found to improve significantly, and this was owed to modification of the cementite morphology from plate-like to spheroidal morphology. In addition, grain refinement was achieved by fine bainitic structures generated through the heat treatment process. This new technology will have promising results to the steel industry in terms of saving time and energy, enhancing the mechanical properties and reducing the total production cost.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.621
Threshold uncertainty score1.000

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 head0.015
GPT teacher head0.207
Teacher spread0.193 · 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
GenreDataset

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
Published2020
Admission routes1
Has abstractyes

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