Identification of Ni-YSZ Anode Creep Property Using PSO for Multiscale Simulation
Bibliographic record
Abstract
Our group has attempted to construct an SOFC multiscale model which can simulate inelastic deformation under operating conditions. In this study, we have focused on mechanical properties of Ni-YSZ anode and aimed to identify creep parameter which is a key factor of inelastic deformation. Measurements were performed at elevated temperatures under controlled oxygen partial pressures using in-situ mechanical testing equipment. Creep parameters of Ni-YSZ anode was optimized to have least difference between the result of numerical material test and experiment, using Particle Swarm Optimization (PSO) algorithm of the approximate optimization techniques based on behavior of self-organized system. As a result, we could confirm transit creep on Ni-YSZ cermet, and identify parameters of it. Simulated creep curves showed good fitting to experimental curves at applied stress up to 5MPa but, deviated at higher applied stress.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".