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Record W3091925713 · doi:10.23977/jemm.2020.050106

Simulation production process database based on the whole process of large ring parts and its application

2020· article· en· W3091925713 on OpenAlexvenueno aff
Yujie Jiang, Zhou-De Qu, Xiaochuan Dong

Bibliographic record

VenueJournal of Engineering Mechanics and Machinery · 2020
Typearticle
Languageen
FieldEngineering
TopicMetallurgy and Material Forming
Canadian institutionsnot available
Fundersnot available
KeywordsForgingRing (chemistry)PunchingBlankingProcess (computing)Mechanical engineeringWeldingEngineeringEngineering drawingComputer science

Abstract

fetched live from OpenAlex

Ring rolling, also known as ring rolling or reaming, is a plastic processing technology of ring rolling equipment (ring rolling machine) to make the ring produce wall thickness or height reduction, diameter expansion and section contour forming. It is suitable for all kinds of seamless ring production and manufacturing, especially for large size ring. Compared with the traditional casting, forging, welding and forming methods, ring rolling technology has obvious technical and economic advantages such as energy-saving and material saving, high product precision, good internal quality, low production cost, etc. The complete technological process of ring rolling mainly includes a series of procedures such as blanking, heating, upsetting, punching, expanding and rolling. Through the numerical simulation of ring rolling, the stress and strain distribution, microstructure change and temperature change in the ring forming process can be obtained, which provides scientific basis for the formulation of processing technology. Therefore, scholars at home and abroad have begun to study the process of large ring.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.271
Threshold uncertainty score0.287

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 head0.012
GPT teacher head0.232
Teacher spread0.220 · 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
Published2020
Admission routes1
Has abstractyes

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