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Record W2322922547 · doi:10.18280/mmep.030102

The Finite Element Analysis and Optimization of Ø6000 Disc Pelletize’s Disk

2016· article· en· W2322922547 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueMathematical Modelling and Engineering Problems · 2016
Typearticle
Languageen
FieldEngineering
TopicTopology Optimization in Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsFinite element methodPhysicsComputer scienceMathematicsStructural engineeringEngineering

Abstract

fetched live from OpenAlex

In order to accurately analyze the stress and strain 6000 disc pelletizer plate body, weight problem solving high redundancy disk body design caused excessive, calculated on the basis of a comprehensive body of load on the disc, the system was established in ANSYS parametric model plate body. In the applied load and set constraints, based on the plate body was static analysis, it reveals the distribution of stress and strain under maximum load conditions head body. By setting the strength conditions, the disc body main design parameters were optimized to solve. Analysis showed that, 6000 disc pelletizer strength redundancy disk body is large, which is the main cause of increase in weight of the equipment; Optimized design parameters for the device fine design provides accurate reference data, equipment weight loss effect is obvious.

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.

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: Methods · Consensus signal: none
Teacher disagreement score0.882
Threshold uncertainty score0.443

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 head0.009
GPT teacher head0.185
Teacher spread0.176 · 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