Zobrazeno 1 - 10
of 161
pro vyhledávání: '"Bagheri, Shervin"'
Autor:
Shi, Zhaoyu, Khorasani, Seyed Morteza Habibi, Shin, Heesoo, Yang, Jiasheng, Lee, Sangseung, Bagheri, Shervin
Efficient tools for predicting the drag of rough walls in turbulent flows would have a tremendous impact. However, methods for drag prediction rely on experiments or numerical simulations which are costly and time-consuming. Data-driven regression me
Externí odkaz:
http://arxiv.org/abs/2405.09256
Autor:
Shin, Heesoo, Khorasani, Seyed Morteza Habibi, Shi, Zhaoyu, Yang, Jiasheng, Lee, Sangseung, Bagheri, Shervin
Understanding the influence of surface roughness on drag forces remains a significant challenge in fluid dynamics. This paper presents a convolutional neural network (CNN) that predicts drag solely by the topography of rough surfaces and is capable o
Externí odkaz:
http://arxiv.org/abs/2405.09071
Autor:
Wittig, Cornelius, Wagner, Michael, Vallon, Romain, Crouzier, Thomas, van der Wijngaart, Wouter, Horn, Harald, Bagheri, Shervin
Bacillus subtilis biofilms were grown in laminar channel flow at wall shear stress spanning one order of magnitude ($\tau_w = 0.068$ Pa to $\tau_w = 0.67$ Pa). We monitor, non-invasively, the evolution of the three-dimensional distribution of biofilm
Externí odkaz:
http://arxiv.org/abs/2403.10545
Autor:
Saoncella, Sofia, Suo, Si, Sundin, Johan, Parikh, Agastya, Hultmark, Marcus, van der Wijngaart, Wouter Metsola, Lundell, Fredrik, Bagheri, Shervin
Lubricated textured surfaces immersed in liquid flows offer tremendous potential for reducing fluid drag, enhancing heat and mass transfer, and preventing fouling. According to current design rules, the lubricant must chemically match the surface to
Externí odkaz:
http://arxiv.org/abs/2401.05021
In this study, we investigate the stability of a liquid film that partially wets a corner between a cylinder and a substrate, using a combination of theoretical and numerical approaches. The film stability, which depends on the film size and the wall
Externí odkaz:
http://arxiv.org/abs/2310.05552
Autor:
Yang, Jiasheng, Stroh, Alexander, Lee, Sangseung, Bagheri, Shervin, Frohnapfel, Bettina, Forooghi, Pourya
The purpose of the present work is to examine two possibilities; firstly, predicting equivalent sand-grain roughness size $k_s$ based on the roughness height probability density function and power spectrum leveraging machine learning as a regression
Externí odkaz:
http://arxiv.org/abs/2304.08958
Turbulent flows over porous lattices consisting of rectangular cuboid pores are investigated using scale-resolving direct numerical simulations. Beyond a certain threshold which is primarily determined by the wall-normal Darcy permeability, ${K_y}^+$
Externí odkaz:
http://arxiv.org/abs/2210.10140
Using experiments and numerical simulations, we investigate the spontaneous spreading of droplets of aqueous glycerol (Newtonian) and aqueous polymer (shear-thinning) solutions on smooth surfaces. We find that in the first millisecond the spreading o
Externí odkaz:
http://arxiv.org/abs/2208.11410
Droplet mobility under shear flows is important in a wide range of engineering applications, e.g., fog collection, and self-cleaning surfaces. For structured surfaces to achieve superhydrophobicity, the removal of stains adhered within the microscale
Externí odkaz:
http://arxiv.org/abs/2204.14132
Autor:
Sundin, Johan, Bagheri, Shervin
Using numerical simulations, we investigate the effects of Marangoni stresses induced by surfactants on the effective slip length of liquid-infused surfaces (LIS) with transverse grooves. The surfactants are assumed soluble in the external liquid she
Externí odkaz:
http://arxiv.org/abs/2203.07773