CFD modeling of a pilot-scale countercurrent spray drying tower for the manufacture of detergent powder. Issue 3 (17th February 2017)

• Record Type: Journal Article
• Authors: Ali, Muzammil; Mahmud, Tariq; Heggs, Peter John; Ghadiri, Mojtaba; Bayly, Andrew; Ahmadian, Hossein; Martin de Juan, Luis
• Is Part Of: Drying technology. Volume 35:Issue 3(2017)
• Page Start: 281
• Page End: 299
• Publication Date: 2017-02-17
• Subjects: Countercurrent spray drying -- heat and mass transfer -- multiphase CFD modeling -- spray drying kinetics; Drying -- Periodicals; Desiccation; 660.28426
• DOI: 10.1080/07373937.2016.1163576
• Languages: English
• ISSNs: 0737-3937

Abstract

ABSTRACT: A steady-state, three-dimensional, multiphase computational fluid dynamics (CFD) modeling of a pilot-plant countercurrent spray drying tower is carried out to study the drying behavior of detergent slurry droplets. The software package ANSYS Fluent is employed to solve the heat, mass, and momentum transfer between the hot gas and the polydispersed droplets/particles using the Eulerian–Lagrangian approach. The continuous-phase turbulence is modeled using the differential Reynolds stress model. The drying kinetics is modeled using a single-droplet drying model, which is incorporated into the CFD code using user-defined functions (UDFs). Heat loss from the insulated tower wall to the surrounding is modeled by considering thermal resistances due to deposits on the inside surface, wall, insulation, and outside convective film. For the particle–wall interaction, the restitution coefficient is specified as a constant value as well as a function of particle moisture content. It is found that the variation in the value of restitution coefficient with moisture causes significant changes in the velocity, temperature, and moisture profiles of the gas as well as the particles. Overall, a reasonably good agreement is obtained between the measured and predicted powder temperature, moisture content, and gas temperature at the bottom and top outlets of the tower; considering the complexity of the spray drying process, simplifying assumptions made in both the CFD and droplet drying models and the errors associated with the measurements.