Discrete particle simulation for mixing of granular materials in ribbon mixers: a scale-up study

Angga Pratama Herman, Jieqing Gan, Zongyan Zhou, Aibing Yu

Research output: Contribution to journalArticleResearchpeer-review

2 Citations (Scopus)

Abstract

This work presents a numerical study of particle mixing and scale-up of ribbon mixers with four sizes (mixer A - 5.62 L, mixer B - 49.02 L, mixer C - 142.91 L, and mixer D - 482.32 L). The results show that the mixing performance becomes worse with the mixer size increasing. A correlation is proposed to predict the mixing rate as a function of the scale-up ratio and Froude number. The top-bottom initial loading condition of granular materials mix much faster than the side-side and front-back loading conditions. With the mixer size becoming larger, the total mixing time increases significantly. The power consumption per unit mass for the four mixers is in this order: mixer A > mixer D > mixer C > mixer B. The results suggest that scale-up is necessary to save mixing time and power consumption and reduce additional operating costs such as labour and down-time.

Original languageEnglish
Article number117222
Number of pages12
JournalPowder Technology
Volume400
DOIs
Publication statusPublished - Mar 2022

Keywords

  • Discrete element simulation
  • Mixing
  • Power consumption
  • Ribbon mixer
  • Scale-up

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