Estimation of equivalent thermal conductivity of impregnated slots in electric machines using Artificial Neural Network Surrogate Model

The accurate prediction of temperature within the slot of an electric motor stands as a crucial yet intricate task. It presents a challenge due to its computational demands, particularly when numerous iterations are requisite to identify the optimal configuration for a specific application. In response to this challenge, our study delves into the utilization of an Artificial Neural Network (ANN) as a tool to predict thermal conductivity within …