Experimental analysis of bent electric heaters using tube freeform bending
Bibliographic record
Abstract
Design of a bending die for electric heaters is time-consuming work that is done largely by skilled experienced engineers. The goal of this study is to provide an easy, low-cost experimental solution for bent electric heaters with arbitrary curvatures, instead of complicated theoretical analyses. An in-plane tube freeform-bending process with pneumatic power is used to bend the electric heater without defects. Experimental results show that the proposed bending tool is workable, although different defects may be present for Cu and Al electric heaters. To avoid bending defects, the size of the bending-roll is recommended to be more than 5.8 times greater than the diameter of the electric heater. An empirical relationship between bending curvatures and process parameters is provided for manufacturers. The applicability of the bending tool is limited to very small bending angles for hollow metal tubes.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| 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".