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Investigation of Modeling and Simulation of Particle Size Distribution in Pickering Emulsion Polymerization

Parsaniya, Reza | 2024

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 57555 (06)
  4. University: Sharif University of Technology
  5. Department: Chemical and Petroleum Engineering
  6. Advisor(s): Vafa, Ehsan
  7. Abstract:
  8. Emulsion polymerization is a multiphase process which produces dispersions of polymeric particles in water called polymeric latexes. When instead of surfactants solid particles stabilize the latex, the process is called Pickering emulsion polymerization. Latexes produced in this way exhibit better mechanical and optical properties. In this work, a model for styrene Pickering emulsion polymerization in the presence of Laponite RDS given in the literature was simulated. The results of simulation were unsatisfactory. A procedure was developed to separately check different parts of the code which was written for the task. Also, another emulsion polymerization system, in which the monomer was Vinyl acetate, with a similar model was simulated, this time the results were satisfactory which indicated there was nothing wrong with the code. There seems to be both parametric and structural uncertainty in the proposed model. The termination rate coefficient in the particle phase used in this model is larger than what’s normally used in emulsion polymerization. Also, charge density of the polymer particles is being calculated in a rather wrong manner as it assumes clay particles’ surface area is negligible compared to polymer particles. This makes the calculated charge density so large that the latex is essentially stable with regards to coagulation which is different from the experimental results of the paper which gives the model. It appears a better model is required for optimization and Control purposes. To get around the parametric uncertainty, parameter fitting to the experimental data was conducted
  9. Keywords:
  10. Emulsion Polymerization ; Pickering Emulsion ; Dynamic Simulation ; Styrene ; Particles Size Distribution

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