Comparative Study on the Elongation of Low-Carbon Steel and Stainless Steel at Different Creep Temperatures
Bibliographic record
Abstract
Creep at high temperature leads to gradual deformation under constant loads. In this paper, a comparative study of the fatigue effect of stainless steel and low carbon steel was made, whereby each sample had a constant weight of 24 kg and the experiments on elongation were performed at temperatures 660℃, 700℃, and 740℃ at a constant time of 10 minutes for each experiment. It was found that the highest elongation rate found to be 0.76% for stainless steel metal at a temperature of 740℃. On the other hand, the amount of elongation for low-carbon steel metal at the same temperature found to be 1.9%. This difference in the amount of elongation observed due to the difference in the microstructure of the two metals. The hardness test showed that the maximum value for stainless steel specimens found to be 225 BHN at 660℃, while for low carbon steel specimens 106BHN at 660℃.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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 teacher head, 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".