Pregled bibliografske jedinice broj: 31229
Genetic Algorithm in Optimum Shape Design
Genetic Algorithm in Optimum Shape Design // Prceedings of 9th DAAAM International Symposium / Katalinic, Branko (ur.).
Beč, 1998. (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 31229 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Genetic Algorithm in Optimum Shape Design
Autori
Mrša, Zoran ; Sopta, Luka ; Vuković, Senka
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Prceedings of 9th DAAAM International Symposium
/ Katalinic, Branko - Beč, 1998
Skup
9th DAAAM International Symposium
Mjesto i datum
Cluj-Napoca, Rumunjska, 22.10.1998. - 24.10.1998
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
genetic algorithm; computational fluid dynamics; shape optimization; nozzle design; Francis turbine spiral casing design
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
