Romero Limones, Alejandro Poissonnier, Jeroen Thybaut, Joris Castillo-Araiza, Carlos
A generalized approach to model heat transfer in an industrial-scale wall-cooled packed bed reactor with a low tube-to-particle diameter ratio (
Pierini, Stefano de Ruggiero, Paola Negretti, Maria Eletta Schiller-Weiss, Ilana Weiffenbach, Julia Viboud, Samuel Valran, Thomas Dijkstra, Henk A. Sommeria, Joël
Several ocean Western Boundary Currents (WBCs) encounter a lateral gap along their path. Examples are the Kuroshio Current penetrating into the South China Sea through the Luzon Strait and the Gulf of Mexico Loop Current leaping from the Yucatan peninsula to Florida as part of the Gulf Stream system. Here, we present results on WBC relevant flows, ...
Liu, Qingzhe Lo, Jack Hau Yung Li, Ye Liu, Yuan Zhao, Jinyu Xu, Lei
The dynamics of droplet impact and splash is important in many applications, yet its analysis involves difficult intertwined aspects. Here Liu et al. make shape parametrically accessible to experiment, with ferrofluidic drops passing a magnetic field in a defined way.
Bouhrira, Nesrine DeOre, Brandon J Tran, Kiet A Galie, Peter A
Fluids and barriers of the CNS
Cerebral aneurysms are more likely to form at bifurcations in the vasculature, where disturbed fluid is prevalent due to flow separation at sufficiently high Reynolds numbers. While previous studies have demonstrated that altered shear stress exerted by disturbed flow disrupts endothelial tight junctions, less is known about how these flow regimes ...
Manas, Chalumuru Narasimha Raju, Pusapati Laxmi Bharat Kumar, Kethavarapu Naga Rajan, Harish
International Journal for Simulation and Multidisciplinary Design Optimization
As we are probably aware of certain infectious diseases that transmit from body to body because of perspiration or respiration of air from a human being containing strains of the infection, the goal of this investigation is to see how the infection is getting spread from a human residing in a closed area provided with air conditioner and with an ap...
Vesper, J.E. (author)
Physical Vapor Deposition (PVD) is the resublimation of a substance on a cold surface coating it with a thin solid layer. PVD coatings are utilized in industry to modify surface properties and appearance. Since the industrial process requires vacuum conditions, it has been mainly conducted in a batch process. Recently, PVD is considered a promising...
Spinelli, Gregoria Gerardo
Tez (Doktora) -- İstanbul Teknik Üniversitesi, Fen Bilimleri Enstitüsü, 2022 / Nowadays, Computational Fluid Dynamics (CFD) is a powerful tool in engineering used in various industries such as automotive, aerospace and nuclear power. More than ever the growing computational power of modern computer systems allows for realistic modelization of physi...
TORREGROSA, Sergio CHAMPANEY, Victor AMMAR, Amine HERBERT, Vincent CHINESTA, Francisco
Nowadays data is acquiring an indisputable importance in every field including engineering. In the past, experimental data was used to calibrate state-of-the art models. Once the model was optimally calibrated, numerical simulations were run. However, data can offer much more, playing a more important role than calibration or statistical analysis i...
Tikan, Alexey Bonnefoy, Félicien Ducrozet, Guillaume Prabhudesai, Gaurav Michel, Guillaume Cazaubiel, Annette Falcon, Éric Copie, Francois Randoux, Stéphane Suret, Pierre
We investigate numerically and experimentally the concept of nonlinear dispersion relation (NDR) in the context of partially coherent waves propagating in a one-dimensional water tank. The nonlinear random waves have a narrow-bandwidth Fourier spectrum and are described at leading order by the one-dimensional nonlinear Schrödinger equation. The pro...
Kakkar, Samarth (author)
The main objective of this thesis was to explore the capabilities of neural networks in terms of representing governing differential equations, primarily in the purview of fluid/aero dynamic flows. The governing differential equations were accommodated within the loss functions for training the neural networks, thereby making them 'physics-informed...