CFD prediction of mean flow field and impeller capacity for pitched blade turbine

Autor:	Rijie Wang, Yuefei Yan, Shengchao Qiao, Xiaoxia Yang
Rok vydání:	2015
Předmět:	Engineering Work (thermodynamics) Multidisciplinary Blade (geometry) Field (physics) business.industry Mechanical engineering Mechanics Computational fluid dynamics Turbine Slip factor Impeller Mean flow business
Zdroj:	Transactions of Tianjin University. 21:250-258
ISSN:	1995-8196 1006-4982
DOI:	10.1007/s12209-015-2408-x
Popis:	This work focused on exploring a computational fluid dynamics(CFD)method to predict the macro-mixing characteristics including the mean flow field and impeller capacity for a 45° down-pumping pitched blade turbine( PBT)in stirred tanks. Firstly, the three typical mean flow fields were investigated by virtue of three components of liquid velocity. Then the effects of impeller diameter(D)and off-bottom clearance(C)on both the mean flow field and three global macro-mixing parameters concerning impeller capacity were studied in detail. The changes of flow patterns with increasing C/D were predicted from these effects. The simulation results are consistent with the experimental results in published literature.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::26b5a5f241e54d999fc696ce742a39f2 https://doi.org/10.1007/s12209-015-2408-x Zobrazit plný text záznamu Full text from SpringerLink