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Optimization and Computational Fluid Dynamics - Department of ...

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28 Gábor Janiga<br />

be shown later, the POF is clearly visible as soon as enough non-dominated<br />

configurations have been identified <strong>and</strong> plotted.<br />

All parameters <strong>of</strong> the EA procedure used in this work are listed later in<br />

corresponding sections (Table 2.2, 2.4 <strong>and</strong> 2.6). Parameters usually chosen in<br />

the literature as well as further parameter sets have been tested extensively in<br />

previous works [6], showing that the values retained in these tables are wellsuited<br />

for the problems considered here. The applied mutation probability<br />

may seem quite high. It should be pointed out, that the mutation magnitude<br />

is continuously decreasing at each generation to stabilize the population. A<br />

high initial mutation probability is needed to obtain a fine-grain resolution<br />

<strong>of</strong> the POF.<br />

2.3 The Optimal Position <strong>of</strong> the Tubes in a Heat<br />

Exchanger (Case A)<br />

2.3.1 Tube Bank Heat Exchanger<br />

A two-dimensional model <strong>of</strong> a cross-flow tube bank heat exchanger is considered<br />

first. One possible configuration can be seen in Fig. 2.1. Air enters the<br />

domain at Tinlet = 293 K <strong>and</strong> is warmed up by passing between the tubes in<br />

which warm fluid flows in the corresponding practical application. The tubes<br />

are supposed to have a constant outer wall temperature, Twall = 353 K. The<br />

outlet is at atmospheric pressure.<br />

The optimization problem consists <strong>of</strong> finding the best locations <strong>of</strong> the tubes<br />

to increase heat exchange while at the same time to limit the pressure loss.<br />

The two corresponding numerical parameters to optimize are the average<br />

temperature difference ∆T <strong>and</strong> pressure difference ∆P between inflow <strong>and</strong><br />

outflow.<br />

The domain bounded by a black line in Fig. 2.1 is simulated in this<br />

study. The Reynolds number is equal to 41 defined using the tube diameter<br />

D = 2 cm <strong>and</strong> the uniform velocity at the inlet, vinlet =0.03 m/s. The<br />

length <strong>of</strong> the domain has been chosen to prevent any influence <strong>of</strong> the inflow<br />

or outflow boundary conditions on the inter-blade flow. Corresponding tests<br />

have, in particular, demonstrated the importance <strong>of</strong> extending the computational<br />

domain well beyond the last tube in order to avoid the influence <strong>of</strong> the<br />

outflow boundary conditions. The full extent <strong>of</strong> the numerical domain <strong>and</strong> a<br />

typical numerical grid can be seen in Fig. 2.5.<br />

The stability analysis in Barkley <strong>and</strong> Henderson [5] proved that threedimensional<br />

effects first appear at a Reynolds number around 188 in the<br />

flow around a cylinder. Furthermore, the flow around a single cylinder is<br />

steady up to a Reynolds number <strong>of</strong> 46 [4]. In the present investigation, several<br />

cylinders are simulated <strong>and</strong> will interact with each other, but due to the low

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