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Failure Analysis of Output Shaft in the Gearbox Transmission

2011· article· en· W2031822059 on OpenAlexaff
Wu Jiao Xu, Yan Fei Chen, Jian Wang, Tao Wang

Bibliographic record

VenueApplied Mechanics and Materials · 2011
Typearticle
Languageen
FieldEngineering
TopicMechanical Failure Analysis and Simulation
Canadian institutionsOntario Drive & Gear (Canada)
FundersChongqing Science and Technology Commission
KeywordsMicrostructureForgingFracture (geology)Materials scienceMetallurgyCleavage (geology)Structural engineeringEngineeringComposite material

Abstract

fetched live from OpenAlex

The objective is to analyze the fracture of output shaft in the two speed gearbox, which was broken after one year service. By means of software KISSsoft and KISSsys, a strength calculation has been carried out on the transmission system, which shows that the output shaft was designed properly and it should be able to withstand the loads applied. The metallurgical microstructure inspection and SEM observation have been conducted to seek the failure reason. Lots of silicate inclusions in the fracture origin have been found out by SEM observation, which cause the initiation of shaft failure most probably. Obvious dendritic segregation in the center area of the fracture surface, intercrystalline fracture, cleavage fracture and unreasonable metallurgical microstructure show the evidence that the forging process and the heat treatment on the output shaft are not qualified, which can contribute to the initiation and spread of shaft fracture.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.360
Threshold uncertainty score0.277

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 head0.017
GPT teacher head0.201
Teacher spread0.184 · 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 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
Published2011
Admission routes1
Has abstractyes

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