Optimizing Deformation Path for Stress Relaxation Tests on Superalloys at High Temperatures
Bibliographic record
Abstract
Stress relaxation results are highly sensitive to test conditions at elevated temperatures. The tests require precise control of environmental conditions and test methods. An experimental technique has been developed for conducting isothermal closed-loop controlled, constant strain, tensile stress relaxation tests at low strains (lower than 0.003) imposed in about one second. It is based on optimizing the initial strain, initial loading path and subsequent control of strain during the hold time. The methodology developed and the technical details used in conducting the stress relaxation tests, for temperatures up to 1000°C, are presented by using a nickel-base superalloy (IN-738LC) as a test material. The approach discussed has been found to be suitable for evaluating the microstructure - flow properties relationship of superalloys, corresponding to as-heat-treated initial microstructure, and could be applicable to any metals, alloys and ceramics at elevated temperatures. The method is being assessed as a means of evaluating the weldability of nickel-base superalloys.
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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 | 0.000 | 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".