Laboratory performance tests on aluminum splices for power conductors
Bibliographic record
Abstract
Abstract The paper reviews the results of laboratory testing of compression and bolted splices installed on stranded aluminum power conductors. The tests on compression splices involved connectors of 10 different designs using 240 mm2stranded aluminum cable. Testing on the bolted splices was performed on connectors of 16 different designs installed on stranded aluminum cable with dimensions of 50 and 240 mm2. Splice performance was assessed on the basis of resistance measurements during short‐circuit tests and thermal cycling as specified by the International Electrotechnical Commission (IEC) 61238‐1 standard, and from inspections of cross‐sectioned connections. Differences in splice performance are related to such factors as physical properties of the materials in contact, splice assembly procedures, number of compression indentations or number of bolts, and other relevant parameters. The influence of conductor deformation on the ability to disrupt aluminum oxide films on the conductor surface during connector installation is addressed. The laboratory data indicate that large mechanical deformations in a splice significantly improve connector performance. For compression splices, relatively soft (annealed) conductors lead to inferior performance than hard‐drawn conductors, unless the soft conductor hardens significantly when it is deformed during installation. The sequence in which the compression indentations are made may influence connector performance. Copyright © 2009 John Wiley & Sons, Ltd.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".