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Record W3214468893

Design and Static Analysis of Composite Leaf Spring for Heavy Vehicle Suspension System

2018· article· en· W3214468893 on OpenAlexaff
K. Naresh

Bibliographic record

VenueSSRN Electronic Journal · 2018
Typearticle
Languageen
FieldEngineering
TopicMechanical Engineering and Vibrations Research
Canadian institutionsHorizon College and Seminary
Fundersnot available
KeywordsLeaf springStructural engineeringDeflection (physics)AxleSuspension (topology)Spring (device)EngineeringStress (linguistics)Composite numberMaterials scienceComposite materialMathematics
DOInot available

Abstract

fetched live from OpenAlex

A leaf spring is a most common form of spring used for suspension in heavy vehicles. Leaf spring is made up of a number of strips curved slightly upwards and clamped together one above the other. These plates are attached to the body frame and axle of vehicle. The suspension system in a vehicle is important to improve the riding comfort and stability of the vehicle. Leaf springs are commonly used in vehicle suspension system and are subjected to millions of various stress cycles, leading to fatigue failure; and it is necessary to determine the allowable stress and maximum deflection to avoid failure. This paper presents design considerations of composite leaf spring by applying static load and deriving the stresses and deformation in the leaf spring. Analytical calculation has also been done by CAD modeling using ANSYS 14.5 workbench. The results obtained by analytical and numerical calculation are in close agreement.

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)0.001
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: none
Teacher disagreement score0.692
Threshold uncertainty score0.299

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.015
GPT teacher head0.254
Teacher spread0.239 · 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

Citations1
Published2018
Admission routes1
Has abstractyes

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