Optimization and Computational Fluid Dynamics [electronic resource] /edited by Dominique Thévenin, Gábor Janiga.
by Thévenin, Dominique [editor.]; Janiga, Gábor [editor.]; SpringerLink (Online service).
Material type:
BookPublisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.Description: XVI, 294 p. 149 illus. online resource.ISBN: 9783540721536.Subject(s): Engineering | Electronic data processing | Mathematical optimization | Physics | Fluids | Hydraulic engineering | Engineering | Engineering Fluid Dynamics | Fluids | Numerical and Computational Methods | Numerical and Computational Methods in Engineering | Numeric Computing | OptimizationDDC classification: 620.1064 Online resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| MAIN LIBRARY | TA357-359 (Browse shelf) | Available |
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Generalities and methods -- A Few Illustrative Examples of CFD-based Optimization -- Mathematical Aspects of CFD-based Optimization -- Adjoint Methods for Shape Optimization -- Specific Applications of CFD-based Optimization to Engineering Problems -- Efficient Deterministic Approaches for Aerodynamic Shape Optimization -- Numerical Optimization for Advanced Turbomachinery Design -- CFD-based Optimization for Automotive Aerodynamics -- Multi-objective Optimization for Problems Involving Convective Heat Transfer -- CFD-based Optimization for a Complete Industrial Process: Papermaking.
The numerical optimization of practical applications is an issue of growing importance in research and industry. It allows both the exploration of non-trivial configurations differing widely from all known solutions and the step-by-step improvement of existing designs. The purpose of this book is to introduce the state of the art concerning this issue, referred to in the book as CFD-based Optimization (CFD-O). Many complementary applications are presented, so that interested researchers and engineers will get a clear view of the present possibilities for all problems where the numerical optimization process relies on evaluations obtained through Computational Fluid Dynamics.
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