Parametric Analysis of a Double Shaft, Batch-Type Paddle Mixer Using the Discrete Element Method (DEM)

To improve the understanding of mixing performance double shaft, batch-type paddle mixers, discrete element method (DEM) in combination with a Plackett–Burman design experiments simulation plan is used to identify factor significance on system’s performance. Effects several factors, including three material properties (particle size, particle density and composition), operational conditions (initial filling pattern, fill level impeller rotational speed) geometric parameters (paddle angle number), were quantitatively investigated using relative standard deviation (RSD). Four key indicators (KPIs), namely quality, time, average power energy required reach steady state, defined evaluate mixer. The results show that property effects are not as significant those parameters. In particular, observed significantly influence consumption, while affecting quality showing their potential towards designing more sustainable mixers. Furthermore, analysis granular temperature revealed centre area between two paddles has high diffusivity, which can be correlated time.