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Optimization and Computational Fluid Dynamics - Department of ...

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2 A Few Illustrative Examples <strong>of</strong> CFD-based <strong>Optimization</strong> 19<br />

maximal while keeping a minimal pressure loss. A set <strong>of</strong> automatized numerical<br />

tools are used together to solve this problem involving mesh generation,<br />

CFD, an in-house C++ implementation <strong>of</strong> EAs, a shell-script <strong>and</strong> complementary<br />

C programs for automatization <strong>and</strong> parallelization (Sect. 2.3).<br />

Case B introduces the optimization <strong>of</strong> the flame shape <strong>of</strong> a laminar burner.<br />

The fuel/air ratio in a primary <strong>and</strong> a secondary inlet vary <strong>and</strong> the objectives<br />

are to reduce the pollutant (CO) emission at a prescribed distance from the<br />

injection plane <strong>and</strong> to obtain the most homogeneous temperature at the same<br />

location (Sect. 2.4).<br />

In Case C, the model parameters <strong>of</strong> the k–ω engineering turbulence model<br />

from Wilcox [79] are studied for Reynolds-Averaged Navier-Stokes (RANS)<br />

computation. The objective in this work is to fit the parameters <strong>of</strong> the model<br />

using optimization, in order to better predict the time-averaged turbulent<br />

velocity pr<strong>of</strong>iles in channel flows (Sect. 2.5).<br />

The applied multi-objective Evolutionary Algorithm (MOEA), based on<br />

the concept <strong>of</strong> Pareto dominance, is described next. In the following sections,<br />

the model problems are introduced first, putting into evidence the requirements<br />

for the choice <strong>of</strong> an adequate optimization strategy. The practical<br />

computational methodology for mesh generation, CFD solution <strong>and</strong> parallelization<br />

are presented afterwards. Results are then shown <strong>and</strong> discussed<br />

followed by concluding remarks.<br />

2.1.2 Heat Exchanger <strong>Optimization</strong> (Case A)<br />

Improving the performance <strong>of</strong> an existing configuration <strong>of</strong>ten involves optimization.<br />

The optimal placement <strong>of</strong> the heat sources or sinks in a channel,<br />

a cavity or a heat exchanger may affect dramatically the performance <strong>of</strong> the<br />

device. In these circumstances, CFD have a high potential to easily explore a<br />

large number <strong>of</strong> different configurations. As a whole, optimization <strong>of</strong> configurations<br />

involving the coupled simulation <strong>of</strong> flow <strong>and</strong> heat transfer remains<br />

a fairly new field <strong>of</strong> research.<br />

Heat exchange through smooth <strong>and</strong> corrugated walls has been for example<br />

investigated in [22]. Shape improvement <strong>of</strong> a cylinder with heat transfer was<br />

carried out in [15]. The optimal shapes <strong>of</strong> fins <strong>and</strong> pins inside heat exchangers<br />

have been examined by various authors [3, 12, 21, 23, 49]. Tiwari et al. [75]<br />

have studied different angles <strong>of</strong> attack for the delta winglets mounted on the<br />

fin-surface on top <strong>of</strong> oval-shaped tubes. Heat transfer <strong>of</strong> finned <strong>and</strong> non-finned<br />

circular <strong>and</strong> elliptic tubular arrangements are investigated numerically in [57]<br />

to maximize the total heat transfer rate. The flow through a heated pipe with<br />

an inserted twisted tape was examined in [46] for different slopes. This analysis<br />

is based on the entropy production minimization [9]. Multi-parameter<br />

optimization coupled with CFD was investigated in [76] to maximize the performance<br />

<strong>of</strong> a heat sink. Foli et al. [31] <strong>and</strong> Okabe et al. [66] have obtained

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