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Modeling, Simulation and Control of Batch Suspension Polymerization Reactor

Koolivand, Abdollah |

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 41152 (06)
  4. University: Sharif University of Technology
  5. Department: Chemical and Petroleum Engineering
  6. Advisor(s): Shahrokhi, Mohammad
  7. Abstract:
  8. Most of Final properties of polymers such as morphological characteristics are related to molecular weight distribution (MWD) and particle size distribution (PSD). It is possible to obtain the desired properties by controlling of these indices. In this work, modeling, simulation, and control of final properties of styrene have been considered. First, kinetic of reaction has been investigated which is a free radical type. Molecular weight distribution has been calculated by using moment method. Next, population balance equation (PBE) has been used to model PSD. For this system, mass, energy, and moment conservation equations are a set of stiff ordinary differential equations (ODEs). PBE is a partial integro-differential equation which can be converted to a set of ODE by the Cell Average method. Then, kinetic model and population balance validated by experimental data. By using sensitivity analysis, effective variables on MWD and PSD have been determined. Paring of variables is such that, desired MWD can be obtained by manipulating temperature trajectory, initial value of initiator, and the amount of chain transfer agent which is added to reactor through at specific time. Also by manipulating the initial value of stabilizer, and impeller speed during the reaction, desired PSD is obtained. In order to achieve the desired distributions, two different objective functions are defined and the optimum values of related manipulated variable and optimum temperature trajectory are obtained. The reactor temperature has been controlled by using an input-output linearized controller. Robustness of controller in presence of uncertainties in model parameters such as heat transfer coefficient has been investigated. The effectiveness of proposed control algorithm has been shown by simulation
  9. Keywords:
  10. Molecular Mass Distribution ; Particles Size Distribution ; Optimization ; Temperature Control

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