Development of PP Melt Index Inferential Model
The melt index (MI) is an important quality specification in polypropylene (PP) production industries. Accurate online measurement of MI becomes vital in PP quality control. A new MI inferential model is proposed by using macro heat of reaction (MHR) as a key factor in MI correlation. MHR is calculated from a dynamic propylene polymerization model. The proposed MI model is validated by plant data and the prediction error is less than 5%. Simulations are performed by three different MI inferential models. The results show that the proposed model has least errors in various operation conditions. The MI model could be used as online soft sensor model or MI control
Modelling of the liquid phase polymerization of olefins in loop reactors
Abstract In this work a new model for the polymerization of olefins in a loop reactor is presented. The reactor is modelled as two tubular reactors interconnected. In contrast to the traditional equivalent CSTR approach, this model allows important effects such as recycle rate, axial dispersion and heat transfer to be investigated. Some simulation results are presented.
Recent Developments in Transition Metal Catalyzed Olefin Polymerization–A Survey. I. Ethylene Polymerization
Abstract High density polyethylene (HDPE) is a major commodity thermoplastic used for a variety of applications such as blow molding, injection molding, and pipe and tubing. This remarkable polymer has been manufactured since the early 1950s, but because of its industrial importance, the production of HDPE continues to be a very active area of technology. In recent years, the worldwide recession, reduced and varying demand, overcapacity, and fierce price competition has stimulated polyolefin manufacturers to modify their existing facilities, making it feasible to interchangeably manufacture a variety of resins. New improved catalysts and processes have been developed to produce HDPE of desired properties at lower manufacturing cost.