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Record W2069798536 · doi:10.5539/mas.v5n3p152

Parametric Design of Batch Flender’s Gear Units Based on Pro/Engineer

2011· article· en· W2069798536 on OpenAlexvenueno aff
Xinyi Jiang, Jingfeng Shen

Bibliographic record

VenueModern Applied Science · 2011
Typearticle
Languageen
FieldEngineering
TopicManufacturing Process and Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsTable (database)Computer scienceParametric statisticsParametric designDimension (graph theory)Ideal (ethics)Series (stratigraphy)Parametric modelLubricationEngineering drawingProduct (mathematics)Industrial engineeringMechanical engineeringMathematicsGeometryEngineering

Abstract

fetched live from OpenAlex

On the basis of studying the structure and design specification of Flender’s gear units, a method of parametric design and modeling for batch gear units based on Pro/Engineer has been adopted. According to given dimensions, we has initially defined variables in Pro/Engineer and established a family table which comprises all the required dimensions, then assigned variables or equations to corresponding feature dimensions during modeling. The model of a gear unit consists of two sections: one is the fundamental shape, the dimensions of which are all given; the other is the external embellish, including the bosses around the axes, the oil gallery for lubrication, the inspecting hole and so on, the dimensions of which are to be designed and determined by designers so as to create an ideal figure of the case. Thus, each series of gear units merely requires a single model, so that all parts in the entire series of gear units shall be generated through the family table and saved as an individual product respectively. The experimental results demonstrate that the development period is shortened, the cost is reduced and the productivity is increased.

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: Methods · Consensus signal: none
Teacher disagreement score0.950
Threshold uncertainty score0.454

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 head0.055
GPT teacher head0.210
Teacher spread0.154 · 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
GenreMethods

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

Citations1
Published2011
Admission routes1
Has abstractyes

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