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Cost optimisation uses the cheapest resources to ensure that the deadline can be met and that computational cost is minimized. Time optimisation uses all the affordable resources to process jobs in parallel as early as possible. Cost-time optimisation is similar to cost optimisation, but if there are multiple resources with the same cost, it applies time optimisation strategy while scheduling jobs on them. The conservative time strategy is similar to time optimisation, but it guarantees that each unprocessed job has a minimum budget-per-job.

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be axisymmetric or independent of the angular dimension. The solution domain extends from the axis of the vessel out to the vessel wall. Approximations are required for elements that do have angular dependence, such as the impellers and baf es. These approximate methods are discussed in Section 5-4. In three dimensional (3D) simulations, the impellers, baf es, and other internals can be modeled using their exact geometry. The challenge in these simulations is to incorporate the motion of the impeller in the presence of the stationary tank and internals. Methods for performing 3D simulations are discussed in Section 5-5. Section 5-6 illustrates how CFD results can be interpreted for mixing analysis. Several application examples are presented in Section 5-7, and closing remarks, including a review of some of the common pitfalls to success, are given in Section 5-8. Figure 5-1a shows the outline of a simple baf ed stirred tank containing a Rushton turbine on a centrally mounted shaft. The tank has diameter T. The impeller has diameter D and is located a distance C off the bottom of the tank. These symbols are used throughout the chapter. In addition, references will be made to the computational grid that is necessary for computing a numerical solution for the ow eld in a stirred tank when the impeller is operational. This grid can take on many forms, as discussed in Section 5-3. One example of a computational grid for the vessel of Figure 5-1a is shown in Figure 5-1b.

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