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P(T)91 Steel-A Review of Current Code and Fabrication Practices

2010· article· en· W4403683237 on OpenAlexaff

Bibliographic record

VenueAdvances in materials technology for fossil power plants : · 2010
Typearticle
Languageen
FieldEngineering
TopicMetallurgy and Material Forming
Canadian institutionsOntario Power Generation
Fundersnot available
KeywordsFabricationCurrent (fluid)Code (set theory)Computer scienceMaterials scienceProgramming languageElectrical engineeringEngineeringSet (abstract data type)Medicine

Abstract

fetched live from OpenAlex

Abstract Advanced chromium-molybdenum-vanadium steels 9CrMoV [P(T)91] have seen extensive global adoption across power, petrochemical, and other industrial sectors over the past decade, driven by the demand for materials with superior high-temperature properties to improve efficiency. Experience with P(T)91 base metals and weldments has revealed that these steels require substantially more attention than the commonly used P(T)22 grade and similar materials. This presentation examines Grade 91's various design code requirements across power, petroleum, and nuclear industries, focusing on fabrication and welding considerations. The discussion covers critical material properties and heat treatment parameters, including the significance of maintaining proper preheat and interpass temperatures, while highlighting the risks associated with interrupted heating cycles and improper postweld heat treatment. The paper also addresses factors influencing the use, development, and procurement of Modified Grade 91 welding consumables for heavy wall applications, and explores the subtle technical differences between North American and European approaches to production and utilization, ultimately emphasizing the considerable care required during joining processes to ensure acceptable long-term properties.

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 score0.378
Threshold uncertainty score0.484

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 head0.013
GPT teacher head0.313
Teacher spread0.300 · 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

Citations3
Published2010
Admission routes1
Has abstractyes

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