Genetic Algorithm in Optimum Shape Design (CROSBI ID 470966)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Mrša, Zoran ; Sopta, Luka ; Vuković, Senka
engleski
Genetic Algorithm in Optimum Shape Design
The shape optimization method in Computational Fluid Dynamics applications using Genetic Algorithm and commercial turbulent flow modeling software FLUENT is presented. Two test cases are solved: the optimum nozzle design and the optimum Francis turbine spiral casing design. The shape of the nozzle and turbine spiral casing are parameterized by cubic Bezier splines, the coordinates of control points being optimizing parameters. In the nozzle case, the energy losses, defined as the difference of total mechanical energy flux through inflow and outflow cross-sections, are minimized. The objective functional for spiral casing shape optimization is defined as the surface averaged value of the magnitude of the difference between calculated and desired velocities at the outlet, so as to give as homogenized spiral casing outflow as possible.
genetic algorithm; computational fluid dynamics; shape optimization; nozzle design; Francis turbine spiral casing design
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
Podaci o prilogu
1998.
objavljeno
Podaci o matičnoj publikaciji
Prceedings of 9th DAAAM International Symposium
Katalinic, Branko
Beč:
Podaci o skupu
9th DAAAM International Symposium
predavanje
22.10.1998-24.10.1998
Cluj-Napoca, Rumunjska