P(T)91 Steel-A Review of Current Code and Fabrication Practices
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.008 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".