Application of genetic algorithm methods for water turbine blade shape optimization

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13420%2F20%3A43895832" target="_blank" >RIV/44555601:13420/20:43895832 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21110/20:00345760

Výsledek na webu

<a href="https://www.journalmt.com/pdfs/mft/2020/04/07.pdf" target="_blank" >https://www.journalmt.com/pdfs/mft/2020/04/07.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.21062/mft.2020.072" target="_blank" >10.21062/mft.2020.072</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Application of genetic algorithm methods for water turbine blade shape optimization

Popis výsledku v původním jazyce

The use of modern production techniques such as 3D printing brings new requirements for shaping ma-chine parts. In the case of the production of the runner blades of Kaplan micro-turbine using 3D printing technology from plastic, the emphasis is on the mechanical properties of the blade and hydraulic proper-ties of the entire turbine. Achieving the required parameters is conditioned by finding a suitable shape of the runner. Therefore the design, virtual testing, optimization and evaluation process is automated. The paper describes the whole process where virtual testing of hydraulic parameters is performed by CFD simulations, and the methods of genetic algorithms are used for optimization. Selected final geometrical shapes of the blade are subjected to a more detailed analysis of hydraulic parameters in the wider oper-ating range and also to the strength analysis.

Název v anglickém jazyce

Application of genetic algorithm methods for water turbine blade shape optimization

Popis výsledku anglicky

The use of modern production techniques such as 3D printing brings new requirements for shaping ma-chine parts. In the case of the production of the runner blades of Kaplan micro-turbine using 3D printing technology from plastic, the emphasis is on the mechanical properties of the blade and hydraulic proper-ties of the entire turbine. Achieving the required parameters is conditioned by finding a suitable shape of the runner. Therefore the design, virtual testing, optimization and evaluation process is automated. The paper describes the whole process where virtual testing of hydraulic parameters is performed by CFD simulations, and the methods of genetic algorithms are used for optimization. Selected final geometrical shapes of the blade are subjected to a more detailed analysis of hydraulic parameters in the wider oper-ating range and also to the strength analysis.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

20301 - Mechanical engineering

Projekt

<a href="/cs/project/TH04010140" target="_blank" >TH04010140: Inovativní návrh kompaktního soustrojí Kaplanovy mikro-turbíny</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Manufacturing Technology

ISSN

1213-2489

e-ISSN

—

Svazek periodika

20

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

6

Strana od-do

453-458

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85098710186