Online inferential product attribute estimation for optimal operation of emulsion terpolymerisation: Application to styrene/MMA/MA
Document Type
Article
Publication Date
8-1-2007
Abstract
An advanced model for process design and control of emulsion terpolymerisation was developed. A test case of emulsion terpolymerisation of styrene (Sty), methyl methacrylate (MMA) and methyl acrylate (MA) was investigated on state of the art facilities for predicting, optimising and control end-use product properties including global and individual conversions, terpolymer composition, the average particle diameter and concentration, glass transition temperature, molecular weight distribution, the number- and weight-average molecular weights and particle size distribution. The model equations include diffusion-controlled kinetics at high monomer conversions, where transition from a 'zero-one' to a 'pseudo-bulk' regime occurs. Transport equations are used to describe the system transients for batch and semi-batch processes. The particle evolution is described by population balance equations which comprised a set of integro-partial differential and nonlinear algebraic equations. Backward finite difference approximation method is used to discretise the population equation and converts them from partial differential equations to ordinary differential equations. The model predictions were experimentally validated in the laboratory and were found to be in excellent agreement, thus paving the way for further application of the model. © 2007 Elsevier Ltd. All rights reserved.
Publication Source (Journal or Book title)
Chemical Engineering Science
First Page
4420
Last Page
4438
Recommended Citation
Srour, M., Gomes, V., & Romagnoli, J. (2007). Online inferential product attribute estimation for optimal operation of emulsion terpolymerisation: Application to styrene/MMA/MA. Chemical Engineering Science, 62 (16), 4420-4438. https://doi.org/10.1016/j.ces.2007.04.046