Analysis of particle motion in a paddle mixer using Discrete Element Method (DEM)

• Published in: Powder technology Vol. 206; no. 1; pp. 189 - 194
• Main Authors: Hassanpour, Ali, Tan, Hongsing, Bayly, Andrew, Gopalkrishnan, Prasad, Ng, Boonho, Ghadiri, Mojtaba
• Format: Journal Article Conference Proceeding
• Language: English
• Published: Amsterdam Elsevier B.V 01.01.2011; Elsevier
• Subjects: Applied sciences; Biological and medical sciences; Chemical engineering; Discrete element method; Discrete Element Method (DEM); Dynamics; Exact sciences and technology; Food engineering; Food industries; Fundamental and applied biological sciences. Psychology; General aspects; Hydrodynamics of contact apparatus; Miscellaneous; Mixers; mixing; Modelling; Paddle mixer; Paddles; Particle tracking; Particle velocity field; Positron emission; Positron Emission Particle Tracking (PEPT); powders; prediction; processing technology; Solid-solid systems; statistical analysis; Velocity distribution; Discrete Element Method (DEM); Positron Emission Particle Tracking (PEPT); Particle velocity field; Paddle mixer; Pilot plant; Tracer technique; Mixing; Scale effect; Particle motion; Mixer; Prediction; Radioactive tracers; Velocity distribution; Discrete element method; Particle tracks; Flow field; Modeling; Solids flow; Extrapolation; Internal flow; Food industry; Non invasive method
• ISSN: 0032-5910; 1873-328X
• DOI: 10.1016/j.powtec.2010.07.025

The use of Discrete Element Method (DEM) modelling is rapidly expanding as a modelling tool to analyse particulate processes and to address technological needs in various aspects of pharmaceutical, food and detergent processing industries. Examples include estimation of parameters that are difficult to measure or quantify experimentally (e.g. internal flow fields and mixing patterns) and facilitating the scale-up of particulate processes from laboratory to pilot plant. This article compares DEM simulations of particle flow in a paddle mixer to experimental measurements using Positron Emission Particle Tracking (PEPT). Good qualitative agreement is shown between DEM and PEPT in terms of flow patterns inside the mixer. Quantitative comparison of PEPT measurements and DEM analyses shows reasonable agreement in terms of velocity distribution. In general, the DEM is shown to be capable of predicting the dynamics of the particulate flow inside the mixer. This article compares Discrete Element Method (DEM) simulations of particle flow in a paddle mixer to the experimental measurements using Positron Emission Particle Tracking (PEPT). The qualitative and quantitative comparisons in terms of flow patterns and the velocity distribution show that the DEM is capable of predicting the dynamics of the particulate flow inside the paddle mixer. [Display omitted]