Novel drag and Nusselt number models based on direct numerical simulations of a bidisperse gas–solid system

• Published in: AIChE journal Vol. 70; no. 5
• Main Authors: Wang, Dong, Wang, Shuai, Jin, Tai, Luo, Kun, Fan, Jianren
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 01.05.2024; American Institute of Chemical Engineers
• Subjects: Arrays; Computational fluid dynamics; Direct numerical simulation; Discrete element method; Drag; drag force model; Fluid dynamics; Fluid flow; Gas-solid systems; Heat transfer; Hydrodynamics; immersed boundary method; Mathematical models; Nusselt number; Nusselt number model; particle‐resolved direct numerical simulation; polydisperse gas‐solid flow; Sensitivity analysis
• ISSN: 0001-1541; 1547-5905
• DOI: 10.1002/aic.18308

Flow and heat transfer in a bidisperse gas–solid system with freely moving spheres  are simulated by particle‐resolved direct numerical simulation (PR‐DNS). Gas–solid coupling is enforced by the direct‐forcing immersed boundary method. Compard with the DNS database, it is found that the existing polydisperse drag correction model developed from static systems combined with various monodisperse drag models underestimates the drag force on dynamic arrays of particles. The existing Nusselt number correction model developed from static systems combined with various monodisperse models overestimates the Nusselt number of dynamic arrays of particles. Sensitivity analysis indicates that the effects of the granular temperature on the drag force and Nusselt number are negligible. Novel polydisperse drag and Nusselt number models are derived based on the database. The advantages of the derived polydisperse drag and Nusselt number models are demonstrated and confirmed by comparing the results of the computational fluid dynamics–discrete element method using various drag and Nusselt number models with experimental or additional PR‐DNS data.