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Record W4404350441 · doi:10.1115/pvp2024-120836

A Comparative Study Between ASME B16.5 and EN1092-1 Weld Neck Flanges

2024· article· en· W4404350441 on OpenAlexaff
Abdel‐Hakim Bouzid, Sofiane Bouzid

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicEngineering Structural Analysis Methods
Canadian institutionsWSP (Canada)École de Technologie Supérieure
Fundersnot available
KeywordsWeldingStructural engineeringEngineeringComputer scienceMechanical engineering

Abstract

fetched live from OpenAlex

Abstract Nowadays, the most extensively used flange standards in the pressure vessels and pipping industry worldwide are ASME B16.5 and EN 1092-1. There has been a lot of hesitation in allowing easy functionality and interchangeability between the two standards because there is little or no information that compare them. The first standard has been in use since its first approval and publication in 1927. While the European standard was approved by CEN in 2001, it is based on DIN flange standard that was adopted in 1928. Although these standards have been evolved through the years it is worth conducting a comparative study of their present forms to help the design engineer comprehend the difference between the two standards in order to make an informed decision regarding the use of these standards in pressure vessel and piping projects around the world. This paper compares the integrity and leak tightness of these two standard flanges and covers the sizes from 15 mm to 600 mm (NPS 0.5 to 24) and all nominal pressures from PN10 to PN400 and classes 150 to 2500. The study compares parameters such as flange rotation, the maximum stresses in the flanges, the gaskets contact stresses, the bolts loads and the level of tightness. The analyses are conducted using the analytical model describe in paper PVP2023-10936 using SA105 and flange materials at room temperature for the bolt-up and pressure conditions.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.028
GPT teacher head0.312
Teacher spread0.285 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2024
Admission routes1
Has abstractyes

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