If You want to model moisture transport, I think that a "mixture" material (water and air) should be defined.
This can be done by means of the Species Model (active it through the model library, on the left in Your Fluent setup).
Material regarding Species Model can be found at this link:
https://www.afs.enea.it/project/neptunius/docs/fluent/html/ug/node512.htm
You should create a "mixture" material, and assign properties as: moisture content (e.g., mass fraction) based on what You know from psychrometric chart.
Best regards,
AP
Satndard k-e model is a robust model and takes less computational time
I thought, u did not understand my question, in drying simulation whio mode will be working such as species transportation or user define scaler function that will incorporate with Multi phase model.
It depends on the scale you are resolving. If you want to model a wet surface with a film or similar Lagrangian model, there might be some evaporation models related with film evaporation or Lagrangian evaporation available in Fluent.
You could also extend the Lee model to deal with thin films where you could use the Wall-Model based evaporation models as well.
The bulk or volumetric might be too costly as it works with a VoF simulation.
Hope this was directed more towards your answer.
In the UDS function can we directly put the moisture content value or define with UDF function, and where the moisture source and energy term define. And where the moisture transport equation works.
You could create a species mass fraction inlet/initial condition UDF which is a function of the relative humidity.
But I would recommend you to calculate the mass fraction of water vapor and dry air and use those as inputs for the boundary and initial conditions.
Application of Computational Fluid Dynamics for Simulation of Drying Processes: A Review
Tarek J. Jamaleddine
&
Madhumita B. Ray
Pages 120-154 | Published online: 08 Mar 2010
- Download citation
- https://doi.org/10.1080/07373930903517458
AbstractIn recent years, computational fluid dynamics (CFD) has been used increasingly to improve process design capabilities in many industrial applications, including industrial drying processes. Drying of food and beverage products, industrial and municipal wastewater sludge, and other manufacturing and environmental products is done regularly in order to enhance the quality and life span of these products and to facilitate their use, storage, and transportation. With recent advancements in mathematical techniques and computer hardware, CFD has been found to be successful in predicting the drying phenomenon in various types of industrial dryers, which utilize all forms of drying operations including spray, freeze, and thermal drying techniques. The CFD solutions are being used to optimize and develop equipment and processing strategies in the drying industry, replacing expensive and time-consuming experimentations. However, a comprehensive review on the application of CFD for the design, study, and evaluation of industrial dryers is not yet available. A comprehensive review of the current literature on the use of CFD models in both industrial and lab-scale drying applications is presented in this article. The use of Eulerian-Eulerian and Eulerian-Lagrangian models in the study of the drying kinetics for gas–solid multiphase flow systems is fully discussed. Merits and disadvantages of using various CFD models in the design of industrial dryers are illustrated and the scope of their applicability is also discussed.
- Badges
- Science topic
- Similar topics
- Mathematics