Page 250 - Process Modelling and Simulation With Finite Element Methods
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Geometric Continuation                237

          An Irish professor once remarked to me, “Anyone can do a calculation, the trick
         is  figuring out if  it’s right.”  So how do we  know  that the cumulative model,
         Figure  6.13  is  right?  A  checking  point  is  whether  it  is  convergent  upon
         reduction of  the time increment for moving the front, At.  Clearly, computing
         Figure 6.13 at say three different values, successively cutting At, is going to be
          difficult to  show on one figure,  since Figure 6.13 is rather full already.  It is
         probably sufficient to show a feature of the profile.  The most prominent feature
         is the “ridge”, of Figure 6.13, which corresponds to the maximum concentration
          of the profile at each time step, and therefore matches the front position seen in
         Figure 6.12.  The maximum of  a function is termed the Lo norm.  Because this
          problem is diffusive, getting the maximum right is a challenge.  The L2 norm is
          the  most  commonly  used,  which  has  the  same  connotation  as  a  “root-mean-
          square” of the profile - an integral measure of size.  It is the unscaled norm that
         FEMLAB uses in assessing the error of  a model in its Newton solvers.  Figure
          6.14  demonstrates  that  the  Lo  norm  is  time-asymptotically  convergent,  a
         necessary consistency check on the operator splitting scheme.  Early times are
          divergent, since the front has had little time with small At  to act as a source.
             In Figures 6.15 and 6.17, we raise the Peclet number to Pe=100, to explore
          weaker diffusion.
             The non-cumulative model in Figure 6.15(a)  shows qualitatively the same
         behaviour as in Figure 6.12 - peak concentration associated with the compaction
         front,  eventually  accumulating  along  the  bottom  of  the  layer.  The  striking
         feature is that the peaks are much narrower in this example, resulting in 3-4   %
         elevation of  surfactant concentration.  In both of these cases, since the variation
         in surfactant concentration is so slight, the dynamics of the accumulation term is
          dominated by  the slope of  the isotherm at unity, and the dynamics of  the point
          source are dominated by the value of the isotherm at unity.


















         Figure 6.14  Cumulative model.  Combined compaction front  translation  and convective-diffusive
         model  for  Pe=l,  m=l, offset  y0=2.  Shown  are times  tc  [0.:0.01:0.375].  Maximum  surfactant
         concentration in the profile at a time for three different operator splitting increments At=O.Ol, 0.005,
         and 0.001.  The time asymptotic convergence is a consistency check on the operator splitting scheme.
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