Recent advances in polymer reaction engineering: Modeling and control of polymer properties

2004 ◽  
Vol 21 (1) ◽  
pp. 147-167 ◽  
Author(s):  
Won Jung Yoon ◽  
Yang Soo Kim ◽  
In Sun Kim ◽  
Kyu Yong Choi
Author(s):  
Manojkumar Ramteke ◽  
Santosh K. Gupta

The field of what is now referred to as polymer reaction engineering started in the early 1930s with Staudinger’s discovery of macromolecules. Though the earlier work was related primarily to synthesis and kinetics, the field started growing at increasing rates, possibly in the late 1950s or early 1960s. In the early years, this field provided a challenging area of research. It has evolved from the modeling of simple polymerizations to that of more complex systems, to experimentation for filling the gaps in our knowledge, to optimization. This mini-review summarizes a small sampling of the literature in polymerization reaction engineering over the last about four decades using a personal perspective. The concepts in this area are now being applied in a variety of specialized domains, e.g., polymerization at the nano scale, design and control of chain macrostructure and rapid optimal switch-over of grades being manufactured, molecular simulation and computational fluid dynamics, etc.


Author(s):  
Alexander Penlidis ◽  
Eduardo Vivaldo-Lima ◽  
Julio César Hernández-Ortiz ◽  
Enrique Saldívar-Guerra

2019 ◽  
Vol 35 (3) ◽  
pp. 311-333 ◽  
Author(s):  
Mohammad Reza Abbasi ◽  
Ahmad Shamiri ◽  
Mohamed Azlan Hussain

Abstract This is a detailed review on olefin polymerization models, and the most recent process control approaches used to control these nonlinear systems are presented. Great focus has been given to the various approaches of fluidized-bed reactor (FBR) modeling. Currently, there has yet to be a single model that blends these modeling aspects together into one single formulation. In this article, the classification of models works by looking at their assumption in considering the phases inside the system. Researchers have been unraveling vast information to narrate in detail the relations between various variables that can be found in FBRs. Although it is not difficult to understand about the basics of modeling polymer properties, a gap exists for future researchers to justify in detail the phenomena and reduce the gap between model predictions and the actual data. The various controlling approaches to control these FBRs have also been reviewed and categorized depending on the method they used to control significant parameters of this nonlinear system. The progress that can be expected in this field leads to the creation of more efficient reactors and minimizing waste.


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