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Optimization and Computational Fluid Dynamics - Department of ...

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272 J. Hämäläinen, T. Hämäläinen, E. Madetoja, H. Ruotsalainen<br />

Flow rate (-)<br />

CD Position (-)<br />

Initial<br />

Optimized<br />

Fig. 9.5 Initial <strong>and</strong> optimized flow rate distribution <strong>of</strong> the header<br />

shape <strong>of</strong> the header, <strong>and</strong> its resulting outflow velocity pr<strong>of</strong>ile, is illustrated<br />

in Figs. 9.4 <strong>and</strong> 9.5, respectively. As can be seen, the optimized velocity<br />

pr<strong>of</strong>ile is notably even across the width <strong>of</strong> the machine, except for some<br />

minor boundary layer effects at the edges.<br />

In design processes, relatively complex <strong>and</strong> computationally expensive<br />

models can be coupled with optimization, as shown in this example. In the<br />

header optimization tool, a 2D turbulence model has been used, but when<br />

faster response times are required, more reduced models are needed. An example<br />

<strong>of</strong> such a control problem is presented in the next section.<br />

9.3 Optimal Control <strong>of</strong> the Fiber Orientation in the<br />

Slice Channel<br />

9.3.1 On Modeling Fiber Orientation<br />

Modeling <strong>of</strong> fiber suspension flows involves numerous challenges. Wood fibers<br />

are non-spherical particles with a length-to-diameter aspect ratio typically <strong>of</strong><br />

the order <strong>of</strong> 100. Having approximately the same density as water, they tend<br />

to align with the velocity direction but, because <strong>of</strong> their flexibility, they also<br />

form accumulations called “fiber flocs”. Moreover, fibers interact with the<br />

carrying phase <strong>and</strong> turbulence as well. Thus, we face conflicting modeling

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