MétaCan
Menu
Back to cohort

Design, Development and Validation of 3D Printed Toroidal Pressure Vessel

2025· article· W7108339287 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Language
FieldEngineering
TopicEngineering Structural Analysis Methods
Canadian institutionsDefence Research and Development Canada
Fundersnot available
KeywordsToroidPressure vesselAerospaceVolume (thermodynamics)3D printingDevelopment (topology)Pressure measurementFabrication

Abstract

fetched live from OpenAlex

Abstract Toroidal pressure vessels find their application in the aerospace industry in places of space optimization. The geometry supports by utilizing the available volume effectively. High pressure fluid is stored and transported in the vehicle using these pressure vessels. With advancements in the area of 3D printing of metallic structures, the toroidal pressure vessel becomes an apt candidate owing to the fabrication challenges for this unique geometry. Strength based design is carried out considering the properties of the 3D printing Titanium alloy. The realized hardware is subjected to proof pressure cycle for design validation and to ensure availability of necessary design factors. Further, cyclic pressure qualification of the toroidal pressure vessel is done at a ground test facility to validate a minimum fatigue life. This work therefore provides a wholesome view of design, development and experimental validation of the 3D printed toroidal pressure vessel.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.558
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.260
Teacher spread0.245 · 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

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same topicEngineering Structural Analysis MethodsFrench-language works237,207