Euler–Lagrange study of bubble drag reduction in turbulent channel flow and boundary layer flow

2020 ◽  
Vol 32 (2) ◽  
pp. 027101 ◽  
2020 ◽  
Vol 32 (12) ◽  
pp. 122111
Author(s):  
Hongyuan Li ◽  
SongSong Ji ◽  
Xiangkui Tan ◽  
Zexiang Li ◽  
Yaolei Xiang ◽  
...  

Author(s):  
Claudia del C. Gutierrez-Torres ◽  
Jose A. Jimenez-Bernal ◽  
Elvis E. Dominguez-Ontiveros ◽  
Yassin A. Hassan

Investigation of the drag reduction phenomenon has been carried out for several years. Several techniques to reduce the drag have been applied and researched for a number of years. Microbubbles injection within a turbulent boundary layer is one method utilized to achieve reduction of drag. In this work, the effects of the presence of microbubbles in the boundary layer of a turbulent channel flow are discussed.


2018 ◽  
Vol 14 (1) ◽  
pp. e2282 ◽  
Author(s):  
Shu‐peng Cai ◽  
Zhi‐neng Wang ◽  
Chuan‐wei Duan

2005 ◽  
Vol 17 (1) ◽  
pp. 011705 ◽  
Author(s):  
Costas D. Dimitropoulos ◽  
Yves Dubief ◽  
Eric S. G. Shaqfeh ◽  
Parviz Moin ◽  
Sanjiva K. Lele

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Martin Skote ◽  
Maneesh Mishra ◽  
Yanhua Wu

Spanwise oscillation applied on the wall under a spatially developing turbulent boundary layer flow is investigated using direct numerical simulation. The temporal wall forcing produces a considerable drag reduction over the region where oscillation occurs. Downstream development of drag reduction is investigated from Reynolds number dependency perspective. An alternative to the previously suggested power-law relation between Reynolds number and peak drag reduction values, which is valid for channel flow as well, is proposed. Considerable deviation in the variation of drag reduction with Reynolds number between different previous investigations of channel flow is found. The shift in velocity profile, which has been used in the past for explaining the diminishing drag reduction at higher Reynolds number for riblets, is investigated. A new predictive formula is derived, replacing the ones found in the literature. Furthermore, unlike for the case of riblets, the shift is varying downstream in the case of wall oscillations, which is a manifestation of the fact that the boundary layer has not reached a new equilibrium over the limited downstream distance in the simulations. Taking this into account, the predictive model agrees well with DNS data. On the other hand, the growth of the boundary layer does not influence the drag reduction prediction.


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