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Record W4409499873 · doi:10.5006/c2025-00029

Case Study on the Failure of a Centrifugally Cast Reformer Outlet Header in a Hydrogen Generation Unit

2025· article· en· W4409499873 on OpenAlexaff
Dasari Sukumar Reddy, Aditya Divvela, Chidambaram Subramanian, P Nagendra

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMechanical Failure Analysis and Simulation
Canadian institutionsCanadian Society of Intestinal Research
Fundersnot available
KeywordsHeaderUnit (ring theory)HydrogenMaterials scienceComputer scienceChemistryMathematics

Abstract

fetched live from OpenAlex

Abstract Hydrogen Generation Unit (HGU) serves as a critical process plant in refineries, playing a pivotal role in meeting stringent environmental regulations governing the sulfur content in gasoline and diesel. At the heart of this unit is the Hydrogen reformer, employing Steam Methane Reforming for hydrogen production. The reliability of the reformer is critical for ensuring the safety and profitability of the refinery. This paper presents a detailed case study on the failure of a Centrifugally Cast Hot Collector Outlet Header constructed from Centralloy 4859-Cast -20% Cr-32% Nickel alloy, after nearly 20 years of operational service. A comprehensive investigation methodology encompassing visual inspection, stereoscopic imaging, microscopic examination, electron probe microanalysis, and analysis of process parameters was meticulously conducted. The investigation conclusively attributed the failure of the outlet header to high temperature creep Damage. Salvaging of other portions of the Hot collector header was undertaken, followed by a remaining life nalysis (RLA) which included High Temperature Tensile Testing, Accelerated Creep Rupture testing. RLA results indicated an estimated remaining life of 8 years, highlighting the localized nature of Creep damage in Hot Collector header. Furthermore, this paper offers valuable insights into inspection strategies and reformer spare part strategies crucial for enhancing reliability.

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 score0.108
Threshold uncertainty score0.256

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 head0.040
GPT teacher head0.269
Teacher spread0.229 · 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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