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Record W4414953518 · doi:10.1115/pvp2025-153872

Life Management Assessment of Service-Exposed HP-Modified Reformer Tubes and Influence of Material Variability

2025· article· en· W4414953518 on OpenAlexaff
Eeva Griscom, Michael Gagliano, Alex Bridges, John Siefert, Jorge Penso, Jordan Barrass

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMechanical Failure Analysis and Simulation
Canadian institutionsShell (Canada)
Fundersnot available
KeywordsCreepTube (container)Service lifeSteam reformingMaterial propertiesBar (unit)Endothermic processHydrogen production

Abstract

fetched live from OpenAlex

Abstract Steam methane reforming (SMR) is widely used as the primary method of production for bulk hydrogen worldwide. The reforming process is endothermic so components, such as centrifugally cast reformer tubes, require the use of heat resistant materials to withstand continuous operation at temperatures exceeding 815°C (1,500°F). Life management of these components is challenging because of the potential for furnace temperature imbalances, variability in tube processing parameters and compositional requirements due to the lack of standardized specifications, and limited long-term creep data available for HP-modified and HP-microalloyed grades. This study aims to evaluate the influence of material composition and microstructural evolution (induced by service aging) on high temperature creep performance using a full tube set (four distinct tube sections) of ex-service HP40-modified reformer tubes and a restricted chemistry HP-modified variant in the new condition. Traditional round bar creep specimens were evaluated using the Omega method and results are discussed. Creep damage and microstructural evolution were characterized using a variety of advanced microscopy techniques. Results indicate that long-term exposure to high temperatures and concomitant microstructural evolution reduce overall component life; however, other factors such as material composition and macrostructure influence creep performance and damage manifestation. Specific impacts linked to location in the furnace, variability in macro and microstructure, and material composition are addressed.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.322
Threshold uncertainty score0.232

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 head0.007
GPT teacher head0.245
Teacher spread0.238 · 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
Published2025
Admission routes1
Has abstractyes

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