This Tech Talk shows a solution to reduce force wave amplitudes of selective wavenumbers and frequency orders through a non-parametric sensitivity-based optimization scheme.
Electrical machines will be crucial to the mobility revolution. Electric vehicles demand motors that are quiet and low-vibration to maximize passenger comfort. This presentation will demonstrate the reduction of electrical machine noise and vibration behaviour by non-parametric shape optimization.
The root cause of vibrations is the complex interplay between discrete changes in permeance paths, flux density changes during mechanical rotation and power supply oscillations. If not mitigated, these vibrations can impact the lifetime of the device or require expensive mechanical intervention, as the reduction in the smooth running of the motor induces stress and the resulting strain on bearings, gearbox and other components. In addition, the interaction of structural resonances with the motor’s force wave spectrum can – depending on the operating regime of the motor – cause unpleasant noise.
This Tech Talk shows a solution to reduce force wave amplitudes of selective wavenumbers and frequency orders through a non-parametric sensitivity-based optimization scheme. This allows for selective suppression of the most harmful vibrational content. The goal-oriented non-parametric optimization method accelerates the process and can produce optimized geometry not limited by human imagination, which can outperform parametric optimization approaches.
