Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Loïc Chagot"'
Publikováno v:
Micromachines, Vol 14, Iss 10, p 1964 (2023)
Microfluidics is a highly interdisciplinary field where the integration of deep-learning models has the potential to streamline processes and increase precision and reliability. This study investigates the use of deep-learning methods for the accurat
Externí odkaz:
https://doaj.org/article/fa96160506bf429ab2a5eb0f03fa5d0d
Autor:
Loïc Chagot, César Quilodrán-Casas, Maria Kalli, Nina M. Kovalchuk, Mark J. H. Simmons, Omar K. Matar, Rossella Arcucci, Panagiota Angeli
Publikováno v:
Lab on a Chip. 22:3848-3859
The control of droplet formation and size using microfluidic devices is a critical operation for both laboratory and industrial applications
Publikováno v:
Journal of colloid and interface science. 605
Dynamic interfacial tension was studied experimentally during drop formation in a flow-focusing microchannel. A low viscosity silicone oil (4.6 mPa s) was the continuous phase and a mixture of 48% w/w water and 52% w/w glycerol was the dispersed phas
Publikováno v:
Physics of Fluids. 34:073111
The displacement flow of an organic Newtonian fluid by a pure viscoelastic aqueous solution is experimentally investigated inside a circular microchannel of 200 μm. Displacement is commonly encountered in many industrial applications, from cleaning
Autor:
Omar Matar, Chris Pain, Panagiota Angeli, Federico Galvanin, Rossella Arcucci, Themistoklis Botsas, Indranil Pan, Lachlan Mason, Nina Kovalchuk, Pranav Vasanthi Bathrinarayanan, Loïc Chagot, Fria Hossein, Matteo Errigo, Nausheen Basha
Research event is a showcase of work being carried out within the PREMIERE programme (PREdictive Modelling with QuantIfication of UncERtainty for MultiphasE Systems). This programme is in collaboration with Imperial College London, The Alan Turing In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6bcc962358d54c014127d5b7f38b42b3
Publikováno v:
Experiments in Fluids. 61
Multi-plane telecentric 2D particle image velocimetry (PIV) measurements were performed over and within the interstices of rough beds in an open-channel flow with low relative submergence. Two rough beds constituted of cubes and elongated cuboid obst
Autor:
Loïc Chagot, Christoph Heckele, Stuart J. McLelland, Frédéric Moulin, Olivier Eiff, Brendan Murphy, Sina Wunder, Michele Trevisson
Publikováno v:
E3S Web of Conferences
E3S Web of Conferences, Vol 40, p 02057 (2018)
E3S Web of Conferences, Vol 40, p 02057 (2018)
Vegetation patches are particularly diffcult to quantify in terms of flow resistance due to their complex geometry and topological behaviour under hydrodynamic loading. They not only influence the water level and mean velocities due to the drag they
Publikováno v:
E3S Web of Conferences, Vol 40, p 05059 (2018)
Multi-plane PIV measurements were performed in an open-channel flume filled with elongated prisms of height k and width l to investigate the effect of the deepening of the canopy on the flow structure. Velocity measurements were performed both inside
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::66baaf63e89f33d6147055cce0f409e7
Autor:
Céline Berni, Moisés Brito, Martin Boudou, Frédéric Moulin, João N. Fernandes, Maxime Rouzes, Diego Lopez, Jean-Baptiste Faure, Sandra Soarez-Frazao, Antoine Chiaverini, João Leal, Loïc Chagot, Bastien Mathurin, Elsa Alves, Nicole Goutal, Sebastián Guillén-Ludeña, Olivier Eiff, Nicolas Riviere, Rui Ferreira, Miltiadis Gymnopoulos, Emmanuel Mignot, André Paquier, Michel Lang, Yann Peltier, Victor Dupuis, Marina Oukacine, Didier Bousmar, Sébastien Proust
Publikováno v:
E3S Web of Conferences, Vol 7, p 04004 (2016)
E3S Web of Conferences, 7
3rd European Conference on Flood Risk Management (FLOODrisk 2016)
E3S Web of Conferences, 7
3rd European Conference on Flood Risk Management (FLOODrisk 2016)
Flood hazards (flow depth and velocity) must be accurately assessed in high-risk areas during extreme flood events. However, the prediction of the very high flows is not an easy task due to the lack of field data and to the strong link between flow r