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Deforming 20K I-beam rolling in a universal mill and evaluation of different polar stresses level.

2023· article· en· W4389096046 on OpenAlexaff
V. Yu. Rubtsov, D. A. Poluektov, О. И. Шевченко, V. V. Tyuterev, R. I. Nuriev

Bibliographic record

VenueFerrous Metallurgy Bulletin of Scientific Technical and Economic Information · 2023
Typearticle
Languageen
FieldEngineering
TopicMetallurgy and Material Forming
Canadian institutionsEVRAZ (Canada)
Fundersnot available
KeywordsRotation (mathematics)Beam (structure)CurvatureCompression (physics)Rolling resistanceStructural engineeringMaterials scienceMechanical engineeringMechanicsEngineeringGeometryComposite materialPhysicsMathematics

Abstract

fetched live from OpenAlex

When rolling I-sections in universal mills, workpiece is captured by horizontal rolls, while vertical rolls in that time passive, but they are directly involved in reduction process. Studied literary sources describe effect of stresses on forces arising during rolling, as on impact resistance of vertical rolls rolling mills. However, issues of gripping and braking workpiece and effect of vertical rolls passive rotation on the quality characteristics of rolled products, including thickness variation, require more attention and detailed consideration. The results of simulation of rolling I-beam 20K1 in DEFORM-3D program are given, taking into account effect of vertical rolls passive rotation and its experimental rolling with further rolled product 3D scanning along 12 control sections. In course of modeling, influence of multipolar stresses arising in process of gripping workpiece on formed profile elements geometry was evaluated. It is shown that capture of strip occurs unevenly by right and left rolls. The vertical rolls do not rotate at moment of capture, which leads to formation of metal thickening at beginning of workpiece rolling. After their begin rotation, process stabilizes and metal begins to deform evenly along the wall, which leads to decrease in load on the vertical rolls. It has been established that uneven compression, both over cross section and along length of strip, leads not only to increased loads during I-beam rolling, but also to a change in geometric dimensions of section and curvature of strip. Adequacy of model is confirmed by high convergence of simulation results and production experiment

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)0.001
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.299
Threshold uncertainty score0.438

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.022
GPT teacher head0.216
Teacher spread0.194 · 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 designSimulation or modeling
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
Published2023
Admission routes1
Has abstractyes

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