Zobrazeno 1 - 10
of 540
pro vyhledávání: '"Matar, Omar A."'
This short note introduces a novel diagnostic tool for evaluating the convection boundedness properties of numerical schemes across discontinuities. The proposed method is based on the convection boundedness criterion and the normalised variable diag
Externí odkaz:
http://arxiv.org/abs/2411.06152
We present a numerical study of the main sub-stages preceding aerosol formation via bursting bubbles: capillary wave propagation along the bubble, convergence at the bubble's apex, the ascent of a Worthington jet and its break-up to release liquid dr
Externí odkaz:
http://arxiv.org/abs/2404.09196
The Richtmyer-Meshkov instability (RMI) occurs when a shock wave passes through an interface between fluids of different densities, a phenomenon prevalent in a variety of scenarios including supersonic combustion, supernovae, and inertial confinement
Externí odkaz:
http://arxiv.org/abs/2404.08119
Extensional flows of complex fluids are pivotal in industrial applications like spraying, atomisation, and microfluidic drop deposition. The Dripping-on-Substrate (DoS) technique is a conceptually simple, but dynamically-complex, probe of the extensi
Externí odkaz:
http://arxiv.org/abs/2404.06947
Autor:
Chen, Boyang, Heaney, Claire E., Gomes, Jefferson L. M. A., Matar, Omar K., Pain, Christopher C.
This paper solves the discretised multiphase flow equations using tools and methods from machine-learning libraries. The idea comes from the observation that convolutional layers can be used to express a discretisation as a neural network whose weigh
Externí odkaz:
http://arxiv.org/abs/2401.06755
Autor:
Savage, Tom, Basha, Nausheen, McDonough, Jonathan, Krassowski, James, Matar, Omar K, Chanona, Ehecatl Antonio del Rio
Additive manufacturing has enabled the fabrication of advanced reactor geometries, permitting larger, more complex design spaces. Identifying promising configurations within such spaces presents a significant challenge for current approaches. Further
Externí odkaz:
http://arxiv.org/abs/2308.08841
Publikováno v:
J. Fluid Mech. 998 (2024) A4
We perform simulations of an impulsively-started, axisymmetric viscoelastic jet exiting a nozzle and entering a stagnant gas phase using the open-source code Basilisk. This code allows for efficient computations through an adaptively-refined volume-o
Externí odkaz:
http://arxiv.org/abs/2306.05137
The prediction of the drop size distribution (DSD) resulting from liquid atomization is key to the optimization of multi-phase flows, from gas-turbine propulsion, through agriculture, to healthcare. Obtaining high-fidelity data of liquid atomization,
Externí odkaz:
http://arxiv.org/abs/2305.18049
The accurate prediction of the two-phase heat transfer coefficient (HTC) as a function of working fluids, channel geometries and process conditions is key to the optimal design and operation of compact heat exchangers. Advances in artificial intellig
Externí odkaz:
http://arxiv.org/abs/2305.18406
Autor:
Basha, Nausheen, Savage, Thomas, McDonough, Jonathan, Chanona, Ehecatl Antonio Del-Rio, Matar, Omar K.
Processes involving the manufacture of fine/bulk chemicals, pharmaceuticals, biofuels, and waste treatment require plug flow characteristics to minimise their energy consumption and costs, and maximise product quality. One such versatile flow chemist
Externí odkaz:
http://arxiv.org/abs/2305.16929