Huang, C;
Cattani, F;
Piccione, PM;
Galvanin, F;
(2022)
A stochastic modelling approach for the characterisation of collision exchange processes.
Chemical Engineering Science
, 248
(A)
, Article 117207. 10.1016/j.ces.2021.117207.
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Abstract
Collision-exchange process is a common physical process where system members interact with each other to exchange materials and these individual interactions cumulatively drive a macroscopic system evolution in time. In this paper, a compartment-based stochastic model is formulated to study the collision-exchange process between members in a system. The discrete Markov analysis on the stochastic model presents the analytical results that show the independence of the system equilibrium on its initial distribution, and the derived differential equations reveal the deterministic time evolution of material amount on system members. As a specific example of a physical system that can be described via this model, a seed coating process is presented where the inter-particle coating variability is expressed by the stochastic model parameters. The promising agreement between simulation predictions and experimental results demonstrates the feasibility of stochastic modelling on the collision-exchange process and facilitates further model identification and applications to industrial processes.
| Type: | Article |
|---|---|
| Title: | A stochastic modelling approach for the characterisation of collision exchange processes |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.ces.2021.117207 |
| Publisher version: | http://doi.org/10.1016/j.ces.2021.117207 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10137065 |
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