شماره ركورد كنفرانس :
5041
عنوان مقاله :
Modeling bismuth oxide nanoparticles prepared by SWHS using population balance equation
Author/Authors :
F. Masoodiyeh Department of Chemical Engineering - Engineering Faculty - University of Kashan, Kashan, Iran , M. R. Mozdianfard Department of Chemical Engineering - Engineering Faculty - University of Kashan, Kashan, Iran , J. Karimi-Sabet Material and Nuclear Fuel Research School - Nuclear Science and Technology Research Institute, Tehran, Iran
كليدواژه :
population balance equation , bismuth oxide nanoparticles , supercritical water , particle size distribution
عنوان كنفرانس :
The 10th International Chemical Engineering Congress & Exhibition (IChEC 2018)
چكيده فارسي :
چكيده فارسي ندارد.
چكيده لاتين :
For various precipitation applications, the particle size distribution (PSD) is of primary importance to the product quality and this is in turn controlled by a number of simultaneously occurring phenomena including primary nucleation, crystal growth and aggregation. Moreover, mathematical modeling and numerical simulation could be employed to realize a better understanding of the precipitation process. In this study, based on the population balance equation, a numerical simulation model was developed to predict PSD of bismuth oxide in a supercritical water hydrothermal synthesis process. By implementing the model, the reactive precipitation process in a batch reactor including nucleation, growth and aggregation rates was simulated. Using the method of moment, the corresponding equation was solved to obtain kinetics functions (nucleation, growth and aggregation rates) and PSD. Results indicated good convergence of experimental PSDs and predicted ones, confirming the significance of taking aggregation phenomenon into account in PSD modeling which was validated subsequently.
