Bibliographic record
Abstract
Auto manufacturers have set a goal for the technical recyclability and recovery of new vehicles that requires as much as 95% of the vehicle weight to be diverted from landfill in a technically and economically feasible manner. In order that future vehicles achieve this goal, which is in line with the draft European Union End-of-Life Scrap Vehicle Directive, it will be necessary to develop a system to recycle all vehicle electrical wiring harnesses. This paper describes the development of a process that uses a cryogenic method of separating the non-metallic insulation from the metallic conductor material. This thesis investigates the potential for the development of a unique process to recycle automotive wiring harnesses. As part of the design approach, a cryogenic testing chamber was constructed along with a mechanical wire crusher to remove the insulation from the wires. Two tests were performed, which consisted of a "Complete Wiring Harness Test" and a "Wiring Harness Material Test". Analysis of the Complete Wiring Harness Test, revealed that there were certain polymers used on automotive wiring harnesses which were unable to reach their glass transition temperature. Therefore a second test, referred to as The Wiring Harness Material Test, was performed to reveal which materials were unable to reach the glass transition temperature in order to allow for the recovery of copper. Finally, the results and information gained in this research have advanced the possibility of future successful development of a mechanical process to remove the insulation from automotive wiring harnesses, which would allow for the recovery of copper.Dept. of Mechanical, Automotive, and Materials Engineering. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2000 .B35. Source: Masters Abstracts International, Volume: 40-03, page: 0768. Adviser: Peter Frise. Thesis (M.A.Sc.)--University of Windsor (Canada), 2000.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".