000 02795nam a2200241 a 4500
001 vtls000057104
003 KUKTEM
005 20251114204436.0
008 111212t2010 my da f m 000 0 eng d
020 _aTHE0004200(Local)
039 9 _a201905141754
_bfarhana
_y201112121442
_zFida
040 _aUMP
090 _aTP157 .A36 2010 rs Bc.
100 0 _aAhmad Akmal Wahamid
245 1 0 _aDevelopment of nonlinear model for plug flow reactor process /
_cAhmad Akmal Wahamid
260 _aKuantan, Pahang :
_bUMP,
_c2010
300 _axv, 54 p. :
_bill. (some col.) ;
_c30 cm. +
_e1 computer disc
502 _aProject paper (Bachelor of Chemical Engineering) -- Universiti Malaysia Pahang - 2010
504 _aBibliography: p. 46-48
520 3 _aPlug Flow Reactor are wildly use in chemical industries. The advantages of PFR reactor is Plug flow reactors have a high volumetric unit conversion and run for long periods of time without maintenance. The control of Plug Flow Reactor process a problem frequently encountered in the chemical industries. Controlling Plug Flow Reactor in chemical industries is very challenging because of the time varying and nonlinear characteristics of the Plug Flow Reactor processes. Nonlinear model of Plug flow reactor (PFR) process model is used to estimate the key unit operation variables when using a continuous tubular reactor to reach a specified output. In this paper gives an overview in selecting the best model in developing a nonlinear model for plug flow reactor. The steps in developing nonlinear model for plug flow reactor are developing of mathematical model in first principal including simulate under steady state and unsteady state condition, validation the mathematical model through an experimental. This model used reaction of ethyl acetate and sodium hydroxide to perform saponification for simulating the behavior of a simple Plug Flow Reactor process in a time. The mathematical model based on first principles is developed then, the model equation is solving in MATLAB environment by doing algorithm for this process. The program for Plug Flow Reactor system is created and this program known as nonlinear fundamental model. Two models were developed in this step in for comparison. The result from the MATLAB simulation program is compared with experimental results which have been selected from two difference method to validate the fundamental model. The result showed that the different between the model and experiment result is around 1-37%. As conclusion, the suitable nonlinear model for PFR system has been developed and analyses have been carried out to check the compatibility of the model.
650 0 _aChemical reactors
999 _aVIRTUA40
_c2117
_d2123
999 _aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*9992