Bibliographic record
Abstract
The effect of current cycling on the performance of bolted aluminum-to-aluminum connections employing different mechanical contract devices has been studied. Current cycling conditions and different initial contact loads (0.7 and 2 kN) have been used. The devices considered were lock-spring, conventional disc-spring (Belleville) and shape-memory alloy disc-spring washers. The results show that the mechanical and electrical integrity of the connections is strongly affected by the joint configuration, which differs according to the mechanical device used. The CuAlMn shape-memory alloy disc-spring washer was found to significantly lower and stabilize the contact resistance in a bolted joint even when incorrectly installed (low initial contact force). The observed effect is explained in terms of a strong temperature dependence of the shape-memory alloy mechanical properties (spring rate) over a narrow temperature range. The mechanism responsible for this dependence is reversible martensite-austenite phase transformation which enables the shape-memory alloy to act as a sensor and a force actuator. This is of significant practical importance since field experience has shown that very often joint failures are linked to the incorrect installation of the joints.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".