A New Experimental Method for the Introduction of a Predetermined Amount of Residual Stresses in Fatigue Test Specimens
Bibliographic record
Abstract
A new experimental method for the incorporation of residual stresses (RS) in standard fatigue steels specimens was developed. RS were introduced by means of high frequency (360 kHz) induction heating. Surface tensile RS resulted from cooling down the specimen subjected to a high thermal gradient. To preserve the mechanical properties of the steel, it was necessary to circulate a coolant at the center of the specimen. The 304L austenitic stainless steel does not undergo phase transformation nor micro structural changes in the solid state and was thus selected for this purpose. Multiphysics finite element (FE) analysis was used to calculate the distributed RS in the fatigue samples. These calculations were compared to XRD measurements and a very good agreement was obtained. It was therefore demonstrated that RS induced with induction heating could be numerically assessed. This conditioning method was then proved efficient to study the only influence of a predetermined amount of RS on the fatigue properties of austenitic 304L steel without undergoing influences of other parameters such as microstructure, surface finish and geometry.
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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 | 0.000 | 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 | 0.000 | 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) | 0.000 | 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".