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Record W2005813639 · doi:10.1002/pc.22861

Designing advanced structural composites based on mechanical performances analysis of the variable topology spacecrafts

2014· article· en· W2005813639 on OpenAlexaff
Xin Ning, Yalan Wu, Jianping Yuan, Xiaokui Yue

Bibliographic record

VenuePolymer Composites · 2014
Typearticle
Languageen
FieldMaterials Science
TopicCarbon Nanotubes in Composites
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMaterials scienceComposite materialFlexural strengthSpacecraftCarbon nanotubeControl reconfigurationComputer scienceAerospace engineering

Abstract

fetched live from OpenAlex

Increasingly complex space operations require novel advanced structural composites for reconfigurable spacecrafts to have excellent flexural strength in reconfiguration processing and orbital maneuvering. Functionalized multiwalled carbon nanotubes (MWCNTs) are performed to fabricate the MWCNTs/carbon fiber/N, N′‐4, 4′‐bimaleimide diphenyl methane/diallylbisphenol A (MWCNTs/CF/BMI/DBA) composites. ANSYS analysis reveals that the requiring lowest flexural strength of the composites is 1,150 MPa to meet actual requirements. The flexural strength of the MWCNTs/CF/BMI/DBA composites with 1 wt% functionalized MWCNTs can fully meet the actual use for reconfigurable spacecrafts. And the thermal stabilities of the MWCNTs/CF/BMI/DBA composites are increased with the increasing addition of MWCNTs. POLYM. COMPOS., 35:2018–2022, 2014. © 2014 Society of Plastics Engineers

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.221
Threshold uncertainty score0.962

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.007
GPT teacher head0.237
Teacher spread0.230 · 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 designBench or experimental
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

Citations2
Published2014
Admission routes1
Has abstractyes

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