Taking an alternative approach to correlation-based methods of performance prediction, this study focuses on the use of computational fluid dynamics (CFD) as a rapid development tool for small scale cyclones for use in vacuum cleaners. Operating with high flow rates the highly swirling, dust laden flows within these cyclones provide a substantial challenge to current numerical models. Using empirical data gathered from previous investigations on four small scale reverse-flow cyclones, with body diametres ranging from 29 to 52 mm and operating with flow rates of 60 to 540 lmin−1, the performance of the CutCell assembly mesh and a standardised approach to particle modelling is assessed. The performance of the numerical method to accurately predict pressure drop and separation efficiency is also compared against nine established cyclone performance prediction models, with the capability of the CFD being demonstrated to be superior to or comparable with traditional models.
- Separation grade efficiency
- Empirical models