Volume 51
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Guan, X., Zhou, Z., Li, J., & Li, S. (2020). Establishment and verification of a model for the movement of pulverized sweet sorghum stalks in a rotary drum bioreactor by discrete element method. Particuology, 51, 53-63. https://doi.org/10.1016/j.partic.2019.09.002
Establishment and verification of a model for the movement of pulverized sweet sorghum stalks in a rotary drum bioreactor by discrete element method
Xiangwen Guan a b 1, Zhixing Zhou a b 1, Jihong Li a b, Shizhong Li a b *
a Institute of New Energy Technology, Tsinghua University, Beijing 100084, China
b Beijing Engineering Research Center for Biofuels, Institute of New Energy Technology, Tsinghua University, Beijing 100084, China
10.1016/j.partic.2019.09.002
Volume 51, August 2020, Pages 53-63
Received 10 March 2019, Revised 19 June 2019, Accepted 17 September 2019, Available online 30 November 2019, Version of Record 11 April 2020.
E-mail: szli@tsinghua.edu.cn

Highlights

• Established rod-shaped particle model for sweet sorghum particle.

• Influence of particle shape and size on particle packing was investigated.

• Orthogonal method used to determine main factors and optimum level.

• Simulated results agreed well with experimental data.


Abstract

The mixing of raw materials in a rotary drum bioreactor is important for advanced solid-state fermentation technology. However, the shape, size, and other properties of pulverized sweet sorghum stalk particles are more complicated than those of the spherical particles. In this study, a soft rod-shaped discrete particle model was established and verified to simulate the mixing behavior of sweet sorghum stalk particles in a rotary drum bioreactor. We were inspired by the particle shape and established a rod-shaped particle model by investigating the influence of the shape (length–diameter ratio) and size (diameter) on the particle packing (stack height and bed porosity). We used orthogonal simulations and extremum difference analysis to determine the main factors, optimum level, and groups of other parameters. Based on calibrated parameters, twelve sets of simulations of radial mixing in the drum were performed, and the results were compared with experiments conducted under identical operating conditions. The average relative error between the simulation and the experiment was 10.95%, which indicates that they agreed well and that the simulation could predict the mixing process well.

Graphical abstract
Keywords
Sweet sorghum particles; Radial mixing; Discrete element method; Rotary drum bioreactor; Parameter determination