MétaCan
Menu
Back to cohort
Record W4382052340 · doi:10.4050/f-0079-2023-18104

Automated Fiber Placement Double in-Situ Manufacturing Technology of Thermoplastic Composites Components

2023· article· en· W4382052340 on OpenAlexaff
Marcin Głodzik, Wojciech Krauze, Radosław Wojtuszewski, Aleksander Banas, Konard Farbaniec, Jarosław Sienicki, T. Gałaczyński

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicManufacturing Process and Optimization
Canadian institutionsLockheed Martin (Canada)
Fundersnot available
KeywordsFixtureComposite numberManufacturing engineeringThermoplastic compositesFiberProcess (computing)Computer scienceEngineering drawingMechanical engineeringEngineeringMaterials scienceComposite material

Abstract

fetched live from OpenAlex

Presented idea describes the manufacturing approach to low-cost production and assembly of a composite part in one operation with the use of AFP (Automated Fiber Placement) technology. The proposal illustrates production of the floor panel dedicated to helicopters and airplanes. Traditionally, stiffeners are joined to the composite skin after it has been manufactured, most often in a different fixture, position, and other process. The present idea takes full advantage of the AFP method, which makes it possible these separate processes to be combined in one operation, allowing the hybridization of the fiber placement skins with the joining of the stiffeners. The article presents then design, tooling and manufacturing principals of a such innovative hybrid approach in a building of complex aircraft composite components.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.648
Threshold uncertainty score0.422

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.012
GPT teacher head0.220
Teacher spread0.209 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same topicManufacturing Process and OptimizationFrench-language works237,207