Stochastic models of turbulent atmospheric dispersion treat either the particle displacement or particle velocity as a continuous time Markov process. An analysis of these processes using stochastic differential equation theory shows that previous particle displacement models have not correctly simu
A stochastic modelling of crystallization in a dispersed medium
β Scribed by G. Vallet; D. Trujillo
- Publisher
- Elsevier Science
- Year
- 2002
- Tongue
- English
- Weight
- 999 KB
- Volume
- 36
- Category
- Article
- ISSN
- 0895-7177
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β¦ Synopsis
The main feature of phase changing in a dispersed medium is its random behaviour.
The aim of this work is the study of a stochastic model for the crystallization of emulsion's droplets. The model is based on a combination of the energy equation and the nucleation theory. We adapt some techniques used in stochastic partial differential equations to prove existence and uniqueness of the solution. Then, we give some numerical simulations and we compare our results to experimental observations.
π SIMILAR VOLUMES
A stochastic model is developed that gives the probability density of the axial displacement and of the flow-time of a particle with variable velocity in a gas-liquid flow system, such as a bubble column or an airlift loop reactor, where dispersion is dominated by rising bubbles. A property of the m