Publication Cover
Drying Technology
An International Journal
Volume 29, 2011 - Issue 3
455
Views
20
CrossRef citations to date
0
Altmetric
Original Articles

Drying of Sludge in a Pneumatic Dryer Using Computational Fluid Dynamics

&
Pages 308-322 | Published online: 19 Feb 2011
 

Abstract

A control volume–based technique implemented in FLUENT computational fluid dynamics (CFD) package was applied along with the kinetic theory of granular flow (KTGF) to simulate the flow pattern and heat and mass transfer processes for wet PVC and sludge material in a large-scale pneumatic dryer. User-defined subroutines were added to extend FLUENT capability to account for mixture properties and to simulate the drying rate for surface moisture evaporation. The convective heat and mass transfer coefficients were modeled using published correlations for Nusselt and Sherwood numbers. Initially, the model was validated against experimental data in the open literature for polyvinyl chloride (PVC) particles. Sensitivity analysis was conducted to determine the effect of gas-phase velocity and temperature on the final product outcome. In addition, mixture inlet conditions such as the particle moisture content and gas turbulent intensity were examined. The model showed high sensitivity to the turbulent conditions at the mixture inlet for the gas phase; high turbulent intensities were needed to disperse the particulate phase in the dryer reasonably well. The numerical model demonstrated the successful implementation of a commercial CFD code with user-defined heat and mass transfer models for complex multiphase flows.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 760.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.