Study of the ultrasonic stress relief method for assembly of flex lead in inertial devices
Bibliographic record
Abstract
The micro inertial device is widely used in the aerospace field when high measuring precision is required. The reaction torque from the residual stress of flex lead, which is generated in the assembly process, is a significant source of error. To address this problem, a stress relief method based on ultrasonic aging is designed and studied in this paper. An experimental platform is established using a high frequency, low amplitude ultrasonic system to improve the uniformity of the plastic stress distribution. The deformation of flex lead is measured by a visioning system. Experiments are carried out for two kinds of flex lead with Φ150 and Φ30 μm in profile diameter. Ultrasonic loading time and amplitude are studied, and results indicate that the released stress increased gradually with ultrasonic loading time in the initial stage. Up to a specific value, it remains constant with the subsequent ultrasonic loading. The ultrasonic loading times required for the flex leads in different sizes to achieve constant balance are different, and longer times are needed for the thicker sizes. The stress relief degree is about 20%, and it can be enhanced by increasing ultrasonic amplitude. But damage will be caused by the enhanced impact from ultrasonic vibration in larger amplitude.
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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 | 0.000 | 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".