Nonlinear process-model-based control and optimization of batch polymerization reactor

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Title: Nonlinear process-model-based control and optimization of batch polymerization reactor
Author: Choi, Jin Yong
Abstract: Polymers (Ray and Laurence , 1977 ) have been synthesized in the laboratory for more than 150 years . When the commercial importance of polymers was realized in the early twentieth century , production began by scale -up from successful laboratory experiments . Because so little was understood about the polymerization step and the product was so difficult to characterize , a successful polymerization process was one which could reproduce the same recipe for every batch , thus producing reasonable product uniformity from batch to batch . As might be expected , even minor modifications of the recipe produced a different product , so that a great plethora of product lines , each of small market volume , began to evolve . As the total demand for polymer products has vastly increased over the last 40 to 50 years , the method of production became more and more expensive . Thus in the last 20 years , polymer manufacturers have been working to improve the quality of their products and the efficiency of their operation through efforts : (1 ) to improve their ability to characterize the chemical makeup and corresponding physical properties of the various polymer products ; (2 ) to quantitatively understand the influence of the reaction conditions on the polymer produced ; and (3 ) where necessary , to develop more effective reactors . These efforts have required a much better understanding of polymerization kinetics and optimum recipes . The scope of this work is not to investigate a new fact about the polymerization reaction or its physical properties or aspects of reactor design , but to effectively utilize some known facts to guide the course of a polymerization processes . Therefore , our objective is to find out the best process recipes , typically feed rate (i .e . , monomer , solvent , initiator ) and temperature profile , and effectively maintain them during the batch time . Consequently , it requires a process control and optimization technique .
URI: http : / /hdl .handle .net /2346 /21611
Date: 1994-05


Nonlinear process-model-based control and optimization of batch polymerization reactor. Doctoral dissertation, Texas Tech University. Available electronically from http : / /hdl .handle .net /2346 /21611 .

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