Zobrazeno 1 - 9
of 9
pro vyhledávání: '"George Sofiadis"'
Publikováno v:
Micromachines, Vol 15, Iss 11, p 1371 (2024)
Contaminated water has remained an unsolved problem for decades, particularly when the contamination derived from heavy metals. A possible solution is to mix the contaminated water with magnetic nanoparticles so that an adsorption process can take pl
Externí odkaz:
https://doaj.org/article/196d6467a5834910a4451bbc4fd1e865
Publikováno v:
Fluids, Vol 9, Iss 9, p 202 (2024)
The present paper focuses on the investigation of the turbulent characteristics of an open-channel flow by employing the micropolar model. The underlying model has already been proven to correctly describe the secondary phase of turbulent wall-bounde
Externí odkaz:
https://doaj.org/article/7fd3a9cad11c41b48d6c81270d9d79be
Autor:
Filippos Sofos, George Sofiadis, Efstathios Chatzoglou, Apostolos Palasis, Theodoros E. Karakasidis, Antonios Liakopoulos
Publikováno v:
Inventions, Vol 9, Iss 2, p 27 (2024)
Convolutional neural networks (CNN) have been widely adopted in fluid dynamics investigations over the past few years due to their ability to extract and process fluid flow field characteristics. Both in sparse-grid simulations and sensor-based exper
Externí odkaz:
https://doaj.org/article/8812fd8649ed4fc688a242b83ffff0b9
Publikováno v:
Environmental Sciences Proceedings, Vol 21, Iss 1, p 82 (2022)
Heavy metals can contaminate water through both natural processes and anthropogenic activities. Unlike organic contaminants, heavy metals are toxic, not biodegradable, and possess the ability to accumulate in organisms. Effective mixing between conta
Externí odkaz:
https://doaj.org/article/ab9959bae86f4e19a317c238fb4ddf41
Publikováno v:
Symmetry, Vol 14, Iss 11, p 2305 (2022)
An algorithm for the calculation of steady-state flowing under uncertain conditions is introduced in this work in order to obtain a probabilistic distribution of uncertain problem parameters. This is particularly important for problems with increased
Externí odkaz:
https://doaj.org/article/7727eb45d22046088f3b39366b31ecbb
Autor:
George Sofiadis, Ioannis Sarris
Publikováno v:
Fluids, Vol 6, Iss 6, p 195 (2021)
Fluid microstructure nature has a direct effect on turbulence enhancement or attenuation. Certain classes of fluids, such as polymers, tend to reduce turbulence intensity, while others, like dense suspensions, present the opposite results. In this ar
Externí odkaz:
https://doaj.org/article/5e72dd0681fb448fae1a40d9239e32ab
Publikováno v:
EWaS5.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27c2875e118138520641e9beb3607077
https://doi.org/10.3390/environsciproc2022021082
https://doi.org/10.3390/environsciproc2022021082
We demonstrate that like in the forward cascade of three dimensional turbulence that displays intermittency (lack of self-similarity) due to the concentration of energy dissipation in a small set of fractal dimension less than three, the inverse casc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ddaa5a2314958d1a49141cb98b2fb549
Publikováno v:
Processes; Volume 10; Issue 8; Pages: 1648
A large number of microfluidic applications are based on effective mixing. In the application of water purification, the contaminated water needs to be effectively mixed with a solution that is loaded with nanoparticles. In this work, the Tesla valve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6070631cd6cc83ba8e918379de7328b6
https://doi.org/10.3390/pr10081648
https://doi.org/10.3390/pr10081648