Numerical Analysis of the Local Heat Transfer Coefficient in a Rotating Hollow Rotor Shaft Liquid Cooling System for Electric Traction Motors
Bibliographic record
Abstract
This paper presents the fluid flow and local heat transfer coefficient associated with a rotating liquid hollow rotor shaft cooling system for electric traction motors. Computational fluid dynamics (CFD) is utilized to simulate the fluid flow and heat transfer phenomena to obtain the local heat transfer coefficient. A comparison is conducted between a stationary and a rotating hollow rotor shaft cooling system using 50/50 ethylene glycol water mixture. The shaft rotation is found to alter the fluid flow through the development of vortices and a secondary flow due to the Coriolis and centrifugal effect. The alteration of the fluid flow is found to enhance the fluid turbulence, significantly increasing the local heat transfer coefficient when compared to the non-rotating case. This results in a significant decrease in the maximum operating temperature of the shaft surface. It is concluded that the local heat transfer coefficients change significantly along the length of the hollow shaft resulting in non-uniform temperature distributions. This can allow for the identification of regions of low thermal performance within the cooling system.
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 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 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| 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".