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Record W7125594796 · doi:10.18280/jesa.581216

Evaluation of the Influence of Dimension Parameters on the Structural Strength of the Friction Clutch Diaphragm Spring

2025· article· W7125594796 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

VenueJournal Européen des Systèmes Automatisés · 2025
Typearticle
Language
FieldEngineering
TopicBrake Systems and Friction Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsClutchDiaphragm (acoustics)Spring (device)Dimension (graph theory)Measure (data warehouse)

Abstract

fetched live from OpenAlex

The diaphragm spring of the dry friction clutch is the main load-bearing part and has a large deformation when the clutch is operating.With a thin disc structure, the thickness of the diaphragm spring has a significant influence on its structural strength.In this study, a finite element model with basic structural parameters of diaphragm springs used on lightduty vehicles is established to analyze the stress, deformation and safety factor of the part under static load.In this model, the thickness of the diaphragm spring is parameterized based on the relationship with other dimensional parameters.From the calculation results, the thickness of the diaphragm spring of 2.0 mm is a reasonable choice, not only ensuring the structural strength but also reducing the production cost.These outcomes of this research offer valuable information regarding the design and durability assessment of clutch assembly parts.

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)0.003
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.613
Threshold uncertainty score0.729

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.018
GPT teacher head0.250
Teacher spread0.232 · 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