High-Temperature Creep Measurement in Metallic Alloys Using Pulsed Eddy Current Sensors: Influence of Geometry and Magnetic Properties
Bibliographic record
Abstract
Due to limited space constraints, the creep measurement of test specimens in material testing reactors is done mostly by time consuming offline techniques viz.: air gauges, diameter gauges, etc.A new compact sensor based on pulsed eddy current testing technique is designed for online creep measurement during mechanical properties testing of metallic alloy specimens for future nuclear reactors.The pulsed eddy current sensors that are positioned opposite to the test specimen measure gaps to estimate creep, by analyzing the slopes of the signals near the Lift-off point of Intersection (LOI) region.The paper discusses the temporal shifts in pulsed eddy current signals when operated at room and high temperatures.Experiments were carried out at room temperature to study the effect of geometry change on test specimens on the linearity and sensitivity of the signals.Similarly, the effect of magnetic test specimens on measurement methodology and sensitivity is also briefed.The results of the study have provided us with confidence in using the online creep measurement sensor technology in material testing reactors with a molten metal coolant medium environment.This technology will help us evaluate the mechanical properties of metallic alloy test specimens, which are intended for use in future generation nuclear reactors.
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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 | 0.000 | 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".