3511

3317

كارشناسي ارشد

گرايش پيشرفته

اصفهان: دانشگاه صنعتي اصفهان، دانشكده مهندسي شيمي

1385

هفده، 164، [II] ص: مصور، جدول، نمودار

ص.ع.به فارسي و انگليسي

ارجمند مهرباني

محسن دوازده امامي

19/3/86

محمد رضا احمد زاده، محسن نصر اصفهاني

مهندسي شيمي

ID3317

به فارسي و انگليسي: قابل رويت در نسخه ديجيتال

Abstract Design and simulation of reactive distillation systems are more complex than usualdistillation systems because of the existence of two simultaneous phenomena reaction andphase equilibrium Also investigation on simultaneous chemical reactions and phaseequilibrium needs reactive phase equilibrium thermodynamics In this research twomodels of equilibrium stage and neural networks are used for simulation of reactivedistillation columns Initially modeling and simulation of the processes were doneregarding fundamental equations mass balances component mass balances and energybalances which are a basis for dynamic simulation of reactive distillation So thatsimulation results and main effect parameters were analyzed on reactive distillationcolumns performance and compared with experimental data A good agreement was foundbetween experimental data and the model simulation results Furthermore simulation anddynamic modeling of reactive distillation systems were carried out using neural network According to the results of equilibrium stage simulation it was possible to identifyrequired system using neural network by proper data After the specification of networkstructure model structure and network train algorithm identification of the system wasdone At last effective network parameters and the most appropriate structure foridentification of dynamic of the system specified Indeed this research leads to control ofthe system by using of the model identified by neural network

ارجمند مهرباني

محسن دوازده امامي

محمد رضا احمد زاده، محسن نصر اصفهاني