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Modeling and Optimization of Polyester Polymerized Esterification Process
  • xiuli Zhu

Abstract

In this paper, first, a first-principle model is built by including extra formation of acetaldehyde, which has been largely neglected in the literature. Second, there exist four objectives to optimize in the process of esterification, including rate of esterification, average molecular weight, degree of polymerization and diethylene glycol content percentage. However, most researchers have considered only one or two of the four performance indicators which may not completely reflect the actual state of PET polymerization process. In this work, an improved RVEA algorithm, called PARVEA, is proposed to deal with a four-objective optimization problem combining with a new first-principle model in esterification process. Simulation results prove the effectiveness of the proposed PARVEA algorithm. Finally, companies can choose more suitable solutions and process parameters according to user preferences, which can meet the requirements for differentiated production of high-quality polyester fiber polymer