Towards Data-Driven Strand Transposition Simulation of Multistrand Random Windings

he randomness of the conductor lay in multi-stranded windings used in power-dense electrical machines can cause a wide variation in AC loss across a manufacturing batch. There has been continued focus on the development of strand transposition simulation methods in multistrand random windings to support the estimation of AC loss magnitude and variability. This paper aims to mitigate the limitation faced by such approaches concerning the lack of available verification data by generating a feasible strand transposition dataset. Through characterising the intra- and inter-turn strand mixing present in the simulated strand transpositions, it was observed that the strand mixing distance is Exponentially distributed and that the probability of strand mixing occurring is significantly higher than previously assumed. In order to focus future studies in this area, a simplified strand transposition simulation approach is assessed to highlight the characteristics of strand transpositions that must be represented in future simulation methodologies