Optimisation of Emulsion Copolymerization of Styrene and MMA in Batch and Semi-batch Reactors
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Wan Hanisah B. Wan Ibrahim
In this work, emulsion copolymerization of Styrene and Methyl Methacrylate (MMA) is studied in batch and semi-batch process. A number of different dynamic optimization problems are formulated and solved for batch process; semi-batch process with and without pre-batch time. In the batch process, the overall monomer conversion (Xn) is maximized for different desired number average molecular weights (Mn). In semi-batch process without pre-batch time Mn is maximized. In semi-batch process with fixed pre-batch time at the beginning of the reaction process, Mn is maximized for different initial initiator concentration (CI0). A process model involving the equations for mass and energy balance, population balance describing the particle evolution in the reactor and diffusion controlled kinetics is incorporated into the optimization framework. The dynamic optimization problems are converted into nonlinear programming problem using the CVP techniques which are solved using efficient SQP (Successive Quadratic Programming) method available within the gPROMS (general PROcess Modelling System) software.
©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston
Articles in the same Issue
- Article
- Editorial: Special Issue of CAPE FORUM 2011
- Optimisation of Emulsion Copolymerization of Styrene and MMA in Batch and Semi-batch Reactors
- Modelling and Optimization of Crude Oil Hydrotreating Process in Trickle Bed Reactor: Energy Consumption and Recovery Issues
- An Optimization-Based Framework for Process Planning under Uncertainty with Risk Management
- Modelling and Control of Reactive Polymer Composite Moulding Using Bootstrap Aggregated Neural Network Models
- Numerical Simulation of Fluid Flow and Heat Transfer in a Counter-Current Reactor System for Nanomaterial Production
- Knowledge Based System Implementation for Lean Process in Low Volume Automotive Manufacturing (LVAM) with Reference to Process Manufacturing
- Novel Heuristic for Low-Batch Manufacturing Process Scheduling Optimisation with Reference to Process Engineering
- CFD Modelling of Reverse Osmosis Channels with Potential Applications to the Desalination Industry
Articles in the same Issue
- Article
- Editorial: Special Issue of CAPE FORUM 2011
- Optimisation of Emulsion Copolymerization of Styrene and MMA in Batch and Semi-batch Reactors
- Modelling and Optimization of Crude Oil Hydrotreating Process in Trickle Bed Reactor: Energy Consumption and Recovery Issues
- An Optimization-Based Framework for Process Planning under Uncertainty with Risk Management
- Modelling and Control of Reactive Polymer Composite Moulding Using Bootstrap Aggregated Neural Network Models
- Numerical Simulation of Fluid Flow and Heat Transfer in a Counter-Current Reactor System for Nanomaterial Production
- Knowledge Based System Implementation for Lean Process in Low Volume Automotive Manufacturing (LVAM) with Reference to Process Manufacturing
- Novel Heuristic for Low-Batch Manufacturing Process Scheduling Optimisation with Reference to Process Engineering
- CFD Modelling of Reverse Osmosis Channels with Potential Applications to the Desalination Industry
