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Record W2254920876

PREDICTION OF WORK-PIECE CONSTITUTIVE EQUATION IN HOT ROLLING OF STRIP

2008· article· en· W2254920876 on OpenAlexaff
Sahar Salimi, Samira Salimi, Amir H. Adibi-Sedeh

Bibliographic record

VenueFaṣlnāmah-i muhandisī-i mikānīk-i jāmidāt. · 2008
Typearticle
Languageen
FieldEngineering
TopicMetallurgy and Material Forming
Canadian institutionsUniversity of CalgaryUniversity of Alberta
Fundersnot available
KeywordsWork (physics)Flow stressRolling millConstitutive equationMillMaterials scienceStrain rateReduction (mathematics)Mechanical engineeringMetallurgyMechanicsStructural engineeringMathematicsEngineeringGeometryPhysicsFinite element method
DOInot available

Abstract

fetched live from OpenAlex

Dimensional control of the work-piece in steel industry is of important interest. The main aspects in overcoming the thickness control are variations in material strength due to variations in chemical composition, work-piece temperature, reduction and the strain rate applied to the work-piece. In this paper based on the main parameters affecting the rolling force an attempt been made to give a more accurate prediction for the flow stress in a steel rolling finishing mill. Predicted values of the model are compared with those of the experimental values which are shown to be in good agreements

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.387
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.049
GPT teacher head0.202
Teacher spread0.152 · 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
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
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueFaṣlnāmah-i muhandisī-i mikānīk-i jāmidāt.Same topicMetallurgy and Material FormingFrench-language works237,207