Loading...
- Type of Document: M.Sc. Thesis
- Language: Farsi
- Document No: 43948 (06)
- University: Sharif University of Technology
- Department: Chemical and Petroleum Engineering
- Advisor(s): Shahrokhi, Mohammad
- Abstract:
- This thesis concerns the modeling of precipitation processes aimed at predicting product particle characteristics especially particle size distribution. A mixing-precipitation model (based on SFM) linked to the population balance is used for a single-feed semi-batch precipitation process to describe the mixing effects on the final particle-size distribution (PSD) and mean size, considering the agglomeration mechanism. The model describes mixing on two zones: the feed and bulk zone with different levels of super saturation. To solve a full population balance equation containing nucleation, growth and agglomeration, discretization method was performed witch is more accurate and low computational demanding.
Barium sulfate and calcium oxalate precipitation is employed as example systems. The influence of hydrodynamics in the stirred tank, as characterized by the impeller speed and feed location, on the distribution of super saturation and the subsequent crystal size distribution is investigated. When the model was applied to experimental results of case studies, satisfactory agreement between predicted and observed results was obtained - Keywords:
- Modeling ; Particles Size Distribution ; Population Balance ; Mean Diameter ; Association ; Reactive Crystallization ; Non-Ideal Mixing
-
محتواي پايان نامه
- view