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Record W7026527694

Applicazioni degli acciai inossidabili in sistemi per la produzione di energia.

2016· article· it· W7026527694 on OpenAlexaboutno aff

Bibliographic record

VenueAMS Degree Thesis (University of Bologna) · 2016
Typearticle
Languageit
FieldMaterials Science
TopicHydrogen embrittlement and corrosion behaviors in metals
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionFusible alloySubpoenaLimitingHyporeflexia
DOInot available

Abstract

fetched live from OpenAlex

Questo elaborato ha lo scopo di esporre quelli che sono i vantaggi derivanti dall' utilizzo degli acciai inossidabili, specificando il tipo di componente e le ragioni della scelta, nei sistemi per la produzione di energia: dalle turbine, agli impianti nucleari, fino agli impianti che sfruttano le energie alternative (solare, eolica, geotermica, biogas). Inizialmente viene fornito un quadro generale sui differenti tipi di acciai inox (martensitici, ferritici, austenitici e duplex, con le relative proprietà, sottolineandone vantaggi e svantaggi), descrivendone anche i sistemi di designazione, con particolare attenzione alla norma AISI (American Iron and Steel Institute). Una volta messe in risalto queste caratteristiche, vengono esaminati e descritti diversi sistemi di produzione di energia in cui gli acciai inox trovano applicazione: si parte dalle turbine (idraulica, a vapore e a gas), spiegando i benefici nell'utilizzo di particolari categorie di acciai inox nella realizzazione di alcuni dei componenti per questi impianti. Vengono quindi esaminati gli impianti nucleari, partendo da quelli che utilizzano come moderatore e fluido refrigerante acqua naturale, ("PWR", Pressurized Water Reactor) e ("BWR", Boiling Water Reactor), fino a quelli che utilizzano invece acqua pesante ("CANDU", Canadian Deuterium Uranium Reactor), nonchè i reattori veloci ("FBR", Fast Breeding Reactor). Infine, vengono esaminate le applicazioni degli acciai inox, nei sistemi per la produzione di energia che, sfruttano fonti alternative (elencate in precedenza).

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.002

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 head0.027
GPT teacher head0.227
Teacher spread0.200 · 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 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

Citations0
Published2016
Admission routes1
Has abstractyes

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