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Record W2559547926 · doi:10.5539/mer.v6n2p23

Design and Finite Element Analysis of Hydrostatic Pressure Testing Machine used for Ductile Iron Pipes

2016· article· en· W2559547926 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

VenueMechanical Engineering Research · 2016
Typearticle
Languageen
FieldEngineering
TopicEngineering Structural Analysis Methods
Canadian institutionsnot available
Fundersnot available
Keywordsvon Mises yield criterionFinite element methodHydrostatic pressureStructural engineeringDeformation (meteorology)Stress (linguistics)Hydrostatic testMechanical engineeringMaterials scienceYield (engineering)Universal testing machineEngineeringPressure vesselComposite materialUltimate tensile strengthMechanics

Abstract

fetched live from OpenAlex

<p class="1Body">The present work deals with the design, construction and demonstration of a hydraulic pressure testing machine. The machine can be used universally to test a centrifugally cast iron pipe (from 80 to 600 mm diameter) under the applied hydraulic pressure. The developed machine can handle a maximum of 5 MPa pressure for 600 mm diameter pipe. The machine was designed using mild steel flats, plates and bars and was tested under maximum design pressure of 3.5 MPa. Stiffeners were used in proposed design, instead of thick end plates as used by earlier researchers. The modeling of machine was carried out using commercially available SolidWorks 14 and the validation of design was carried out using FE package ABAQUS 6.13. Several trials were carried out on design pressure and precise results of von-Mises stress were obtained well within the specified yield stress limits and significant decrease in total deformation of stiffened end plates. Added stiffeners also resulted in reduced material requirement, weight, higher cost effectiveness and being light in weight helps in easy handling at site.</p>

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)0.002
metaresearch head score (Gemma)0.002
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 score0.799
Threshold uncertainty score0.748

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
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 head0.058
GPT teacher head0.330
Teacher spread0.272 · 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