4.7 Review

Computational Fluid Dynamics in Drying Process Modelling-a Technical Review

Journal

FOOD AND BIOPROCESS TECHNOLOGY
Volume 11, Issue 2, Pages 271-292

Publisher

SPRINGER
DOI: 10.1007/s11947-017-2040-y

Keywords

Computational fluid dynamics; Drying models; CFD packages; Turbulence models

Funding

  1. Natural Sciences and Engineering Research Council of Canada
  2. Graduate Enhancement of Tri-Council Stipends
  3. University of Manitoba Graduate Fellowship

Ask authors/readers for more resources

Powerful computational tools such as computational fluid dynamics (CFD) have now replaced the classic method of numerical analysis of drying processes based on experimental models. Its capabilities include the adaptability to model different flow processes such as drying, with high spatial and temporal resolution facilitates and an in-depth understanding of the heat, as well as mass and momentum transfer. CFD complements the experimental and analytical approaches by simulating a range of complex flow problems. Although CFD has immense industrial applications in fluid dynamics, its use in different drying simulations is still in early stages of development. This paper presents a thorough review of the computational power of CFD packages and their application in the drying process simulation. The review also covers different mathematical approaches used in drying models, the commonly available commercial CFD codes, and the turbulence models used in simulations of drying problems. The factors contributing to the complexity and computational load of such CFD-based models are discussed. The later sections of the paper discuss various bottlenecks in the application of CFD in drying, such as the complexity of the models for convoluted geometries, and the limited description regarding the turbulent interaction between different phases.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available