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Record W4389540968 · doi:10.17118/11143/20996

Novel methods of thermal management in high-performance induction motorsusing direct stator winding cooling

2023· article· en· W4389540968 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicInduction Heating and Inverter Technology
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsStatorInduction motorThermal management of electronic devices and systemsThermalElectromagnetic coilMechanical engineeringAutomotive engineeringMaterials scienceComputer scienceElectrical engineeringControl theory (sociology)EngineeringPhysicsVoltageThermodynamicsArtificial intelligence

Abstract

fetched live from OpenAlex

Global warming has encouraged automakers to transition towards zero emission vehicles as a cleaner alternative to reduce the carbon footprint.Researchers are investigating high-powered induction motors as a cost-effective solution to supersede the conventional combustion engine and achieve sustainability.However, to compete with the energy density of a combustion cycle, the induction motor requires a large supply of power to the stator windings.Thus, additional mechanical and electrical losses accumulate in the form of heat during the transfer of energy from the stator to the rotor, contributing to increased internal temperatures.Within the stator, a collection of tightly wrapped insulated wire is subject to thermal stress, which irreversibly degrades the integrity of the material until failure.This process is known as thermal aging and accounts for 35-40% of induction motor failures.Given the risk of increased heat generation, the maximum power and torque available eventually reaches a point at which improvement is limited.Therefore, a novel cooling method is developed to reduce peak temperatures in areas most susceptible to thermal aging.Flexible polyimide mini channels are placed between the conductors within the stator utilizing internal forced convection to deliver coolant directly to the source of heat.Governed by the viscous effects of the fluid, a fully developed laminar flow is applied with a constant heat flux boundary condition to ensure temperature uniformity.A numerical model is developed using finite element software COMSOL Multiphysics to investigate peak temperatures under various operating conditions.To validate the simulated results, an analytical approach is employed by the 1 st and 2 nd law of thermodynamics to predict the irreversibility of the system when parameters such as number of channels, orientation, and geometric shape are changed.The results obtained determined that direct stator cooling can reduce overall temperatures by approximately 54C across all operating conditions.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.266
Threshold uncertainty score0.371

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.031
GPT teacher head0.282
Teacher spread0.252 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it