Page 284 - Elements of Chemical Reaction Engineering 3rd Edition
P. 284

256                             Collection and Analysis of  Rate Data   Chap. 5

                                             TABLE  E5-6.1,  DIFFERENTIAL REACTOR DATA
                                         Run     Reaction Rate   PE    PEA     PH
                                        Number   (mol/kg cat. .s)   (atm)   (atm)   (atm)
                                          1          1.04       1       1      1
                                          2         3.13        1       1      3
                                          3         5.21        1       1      5
                                          4         3.82        3       1      3
                                          5         4.19        5       1      3
                                          6         2.391       0.5     I      3
                                          I         3.867       0.5    0.5     5
                                          8         2.199       0.5    3       3
                                          9         0.75        0.5    5       1
                                                                                -

                             Determine which of  the following rate laws best describes the data.




                                                                 (d)   - rA = kPiPL


                            Solution
                            POLYMATH was chosen as the software package to solve this problem. The data in
                            Table  E5-6.1  were  typed  into  the  system. The  following  copies  of  the  computer
                            screens illustrate the procedure.
         Procedure             1.  First we enter the data in Table E5-6.1 into the POLYMATH table shown
          Enter data        in Table E5-6.2.  After entering the data and pressing  shift F7, the following  solu-
          Enter model       tion  options appear on the screen:
          Make initial
          estimates of
          parameters
          Run regression
          Examine
          parameters and        p.  Fir  a polynomial.   P.  Polynornlal passing  through  oriqin.
          variance              s.  Fir  a cubic spline.   R.  00  nonlinear regression.
          Observe error                              'j?   or  F8 for  problen options
          dimbution
          Choose model
                            Next we type R and choose a model to fit the data.
                              2.  Specify the model and determine the model parameters and a2. The first
                            model we choose is model (a).

                                                                                      (E5-6.1)

                            Next  we  enter  the  model  Equation  (E5-6.1) and  initial  estimates of  the  parameter
                            values.
   279   280   281   282   283   284   285   286   287   288   289