Part I Theory.- Design of experiments.- Response surface modelling.- Deterministic optimization.- Stochastic optimization.- Robust design analysis.- Part II Applications.- General guidelines: how to proceed in an optimization exercise.- A forced convection application: surface optimization for enhanced heat transfer.- A natural convection application: optimization of rib roughened chimneys.- An analytical application: optimization of a Stirling engine based on the Schmidt analysis and on the adiabatic analysis.
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