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Optimization and Computational Fluid Dynamics - Department of ...

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Chapter 8<br />

Multi-objective <strong>Optimization</strong> for<br />

Problems Involving Convective Heat<br />

Transfer<br />

Marco Manzan, Enrico Nobile, Stefano Pieri <strong>and</strong> Francesco Pinto<br />

Abstract In this chapter, focused on <strong>Computational</strong> <strong>Fluid</strong> <strong>Dynamics</strong> (CFD)based<br />

optimization for problems involving convective heat transfer, we present<br />

our approach for the multi-objective shape optimization <strong>of</strong> periodic wavy<br />

channels, representative <strong>of</strong> the repeating module <strong>of</strong> many heat exchangers.<br />

The first problem is <strong>of</strong> fundamental nature <strong>and</strong> considers the geometric<br />

parametrization <strong>and</strong> shape optimization <strong>of</strong> two- <strong>and</strong> three-dimensional periodic<br />

wavy channels. The geometry <strong>of</strong> the channel is parametrized either by<br />

means <strong>of</strong> linear-piecewise pr<strong>of</strong>iles or by non-uniform rational B-splines. The<br />

second case, <strong>of</strong> industrial interest, illustrates the development <strong>and</strong> application<br />

<strong>of</strong> an automatic method for the design <strong>of</strong> gas turbine recuperators.<br />

After a literature review <strong>of</strong> shape optimization in heat transfer, we describe<br />

in detail both aforementioned problems in terms <strong>of</strong> physical assumptions <strong>and</strong><br />

mathematical formulation. In the numerical methods section we indicate the<br />

CFD codes used <strong>and</strong> describe the implementation <strong>of</strong> periodic boundary conditions.<br />

Thereafter in the geometry parametrization section, we illustrate the<br />

different types <strong>of</strong> numerical geometry representation used in the two problems,<br />

<strong>and</strong> the corresponding definition <strong>of</strong> the design variables whose variation<br />

leads to different shapes <strong>of</strong> the computational domain.<br />

After a comprehensive classification <strong>and</strong> description <strong>of</strong> optimization methods<br />

<strong>and</strong> algorithms, we present the results obtained for the two different<br />

cases. For both problems the objectives considered are the maximization <strong>of</strong><br />

heat transfer rate <strong>and</strong> the minimization <strong>of</strong> friction factor, with the additional<br />

objective <strong>of</strong> minimization <strong>of</strong> heat transfer surface for the recuperator module.<br />

Marco Manzan · Enrico Nobile · Francesco Pinto<br />

Dipartimento di Ingegneria Navale, del Mare e per l’Ambiente – DINMA, Sezione di Fisica<br />

Tecnica, Università di Trieste, Trieste, Italy<br />

(e-mail: manzan@units.it,nobile@units.it,fpinto@units.it)<br />

Stefano Pieri<br />

Presently at Danieli & C. Officine Meccaniche Spa, Buttrio (UD), Italy<br />

(e-mail: s.pieri@danieli.it)<br />

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