Volume 95
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Shadymov, N., Papkov, V., & Pashchenko, D. (2024). A novel freemium code SAND (v1.0) for generation of randomly packed beds. Particuology, 95, 198-211. https://doi.org/10.1016/j.partic.2024.09.003
A novel freemium code SAND (v1.0) for generation of randomly packed beds
Nikita Shadymov a, Viacheslav Papkov c b, Dmitry Pashchenko b c d *
a Samara State Technical University, Molodogvardeiskaya 244 St, Samara, 443100, Russia
b Department of Mechanical Engineering (Robotics), Guangdong Technion-Israel Institute of Technology, 241 Daxue Road, Shantou, Guangdong, 515063, China
c Faculty of Mechanical Engineering, Technion - Israel Institute of Technology, Technion City, Haifa, 3200003, Israel
d Guangdong Provincial Key Laboratory of Materials and Technologies for Energy Conversion, Guangdong Technion—Israel Institute of Technology, Guangdong, 515063, China
10.1016/j.partic.2024.09.003
Volume 95, December 2024, Pages 198-211
Received 28 August 2024, Revised 10 September 2024, Accepted 10 September 2024, Available online 5 October 2024, Version of Record 16 October 2024.
E-mail: dmitry.pashchenko@gtiit.edu.cn

Highlights

• A novel freemium code for packed bed generation is now available.

• This innovative code is based on an analytical geometry approach.

• The main advantages of this novel code: rapid packed bed generation, no overlaps.

• Pellets in the packed bed are represented using a minimal number of facets.

• The SAND code has been uploaded for free use as supplementary material.


Abstract

The main current approaches for generation of the packed bed models are based on rigid body dynamics (RBD) and Newton's laws (discrete element methods - DEM). This paper deals with the development and analysis of a novel code based on analytical geometry approach for the packed bed generation. The architecture and main algorithms of the novel code are described and clarified. The parameters of the packed bed generated via the novel code are compared with experimental data and packed beds generated via Blender (RBD), Yade (DEM). The novel code demonstrates many advantages, such as good correlation with experimental data, no overlaps between pellets in the packed bed, and a low computational time for packed bed generation. The packed bed model can be directly exported in .step format. Other advantages are also demonstrated and clarified. The novel code is attached to this paper and can be freely used by engineers and scientists.

Graphical abstract
Keywords
Packed bed; Discrete element method; Python-based code; CAD software