3350

3115

كارشناسي ارشد

﴿ مهندسي شيمي ﴾

اصفهان: دانشگاه صنعتي اصفهان، دانشكده مهندسي شيمي

1385

سيزده، 97، [II]ص.: جدول، نمودار

ص. ع. به فارسي و انگليسي

محسن نصراصفهاني

محمود رضا پيشوايي

مهدي قافله باشي، محمود معصومي

1396/02/24

كتابنامه

مهندسي شيمي

مهندسي شيمي

ID3115

به فارسي و انگليسي : قابل رويت در نسخه ديجيتال

Abstract Vinyl Chloride Polymerization is known to be auto accelerating The reaction rateincrease with conversion Because of these phenomena substantial reactorproductivity at early conversion can be lost because the heat removal capacity of thereactor is not fully utilized until near the end of the polymerization For this reason it is desirable to speed up the polymerization at the beginning andslow it down near the end This rate adjustment can be achieved by running thepolymerization hotter in the beginning and then cooling Optimization methods exploit the repetitive nature of batch processes to adapt theoptimal operating policy in the presence of uncertainty For problems where terminalconstraints play a dominant role in optimization system can be operate close to theoptimum simply by satisfying terminal constraints The Genetic Algorithmoptimization scheme is illustrated in simulation for the minimization of the batch timeof a suspension polymerization process with terminal constraints on number ofaverage molecular weight rate of reaction heat removal capacity We have written a scientifically based computer model for the polymerizationdesigned specifically to simulate such temperature programmed reactions The modelhas a molecular weight predictor By using single initiator and a very simple straight line temperature programmed reaction the time to 85 conversion can be reduced 20percent This is a substantial increase in productivity Keywords Batch reactor Suspension Polymerization Dynamic Optimization GAOptimization batch to batch optimization

محسن نصراصفهاني

محمود رضا پيشوايي

مهدي قافله باشي، محمود معصومي