Optimization and Computational Fluid Dynamics - Department of ...
Optimization and Computational Fluid Dynamics - Department of ...
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