Optimization and Computational Fluid Dynamics by Dominique Thévenin (auth.), Prof. Dr.-Ing. Dominique PDF

By Dominique Thévenin (auth.), Prof. Dr.-Ing. Dominique Thévenin, Dr.-Ing. Gábor Janiga (eds.)

ISBN-10: 3540721525

ISBN-13: 9783540721529

ISBN-10: 3540721533

ISBN-13: 9783540721536

The numerical optimization of functional purposes is a controversy of growing to be significance in learn and undefined. It permits either the exploration of non-trivial configurations differing broadly from all identified suggestions and the step by step development of present designs.

The objective of this e-book is to introduce the cutting-edge relating this factor, pointed out within the booklet as CFD-based Optimization (CFD-O). Many complementary purposes are offered, in order that researchers and engineers gets a transparent view of the current probabilities for all difficulties the place the numerical optimization strategy is determined by reviews received via Computational Fluid Dynamics.

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Example text

The corresponding velocity values are used at the inlets for the Navier-Stokes equations. On both sides of the numerical domain, symmetry conditions are applied. The temperature of the fresh gas and walls at the inlets is 298 K. The total quantity of methane and air injected in the system (primary + secondary inlet) is kept constant, so that in principle the same energy is always available. At the outlet atmospheric pressure is imposed. The UGC + code attempts to find steady solutions through time-marching.

UG is a modular numerical toolbox originally aimed at investigations of multigrid methods on various model problems described by sets of partial differential equations. UGC + is based on two main modules: a low-Mach Navier-Stokes solver and a thermo-reactive solver. A joint module has been developed to achieve the full coupling of the two sub-modules into one single Partial Differential Equations (PDE) system. The two solvers are in charge of their own diagonal block of the Jacobian matrix and there is an information interchange between them (mass fluxes, density and viscosity).

The set of coupled numerical tools used to solve the multi-objective optimization problem are now described and schematically shown in Fig. 6. 3 Opal (OPtimization ALgorithms) Package Opal [6, 38] is an object-oriented C++ code for Unix/Linux systems using a Tcl script interpreter [78]. 3 CFD simulation mesh Post−processing + + OUTPUT FILE (Objective values) C program on Linux for automatization Fig. 6 Flow chart showing the numerical solution procedure computer codes and is employed in our case to call a C interfacing program responsible for the evaluation of the objective functions.

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Optimization and Computational Fluid Dynamics by Dominique Thévenin (auth.), Prof. Dr.-Ing. Dominique Thévenin, Dr.-Ing. Gábor Janiga (eds.)


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