Testing of Shot Peening for Coke Drum Application
Bibliographic record
Abstract
Abstract Due to batch cyclic operation and water quenching process, coke drums in Delayed Coking process units are exposed to severe damage caused by low cycle fatigue. Improving resistance to this damage mechanism is one of the major considerations when designing new coke drums. In a major project replacing totally eight coke drums, shot peening was considered and tested on specimens made of C-0.5Mo backing plate with alloy 625 cladding. This was based on the proven effect of this technique for enhancing fatigue performance of welds in other industries, such as bridges and aviation. After shot peening, surface stress profile of the specimen was measured. Cantilever bending fatigue testing was conducted to determine if fatigue resistance had been improved. Coke drum operation involves thermal cycles which has the potential to negate the effect of shot peening. To quantify the influence of such thermal cycles and detect whether there is a practical residual benefit, simulating heat treatment cycles were designed and performed on the fatigue coupons after the shot peening. This paper summarizes the shot peening process, surface stress measurement and fatigue testing results. It can be used for evaluating the application of shot peening on coke drums for both new drum fabrication and repair/maintenance of operating drums.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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".