Results 91 to 100 of about 88,153 (317)

Sustainable Thermal Solutions: Enhancing Heat Transfer with Turbulators and Nanofluids

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
Nanofluids, which are nanoparticle suspensions in base fluid, facilitate heat transmission due to their improved thermal conductivity. Turbulators, which are inserts into fluid flow channels, disturb the flow, increasing turbulence and hence the heat transfer rate.
Zafar Said   +9 more
wiley   +1 more source

Energy Harvesting from CO2 Emission Exploiting Ionic Liquid‐Based Electrochemical Capacitor

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
The concept proposes energy harvesting from CO2 emissions using ionic liquids (IL)‐based supercapacitor. By alternating CO2 and N2 gasses during electrode charging/discharging, the energy from salinity gradients is captured. ILs absorb CO2, altering electrode/IL interactions and generating electrical energy. This method introduces for the first time an
Davide Molino   +8 more
wiley   +1 more source

2-D Modeling of hyperconcentrated fluid flow in curvilinear coordinates: dam break study

open access: yesApplied Water Science
The hyperconcentrated fluid flow occurs as a result of heavy rainfall, during which a large amount of sediments from the upstream basin is washed away and suddenly increases the flow concentration of the alluvial channels.
Rasool Ghobadian
doaj   +1 more source

Hindered cracking in colloidal suspension coatings via evaporation‐driven lyotropic liquid crystals

open access: yesAIChE Journal, EarlyView.
Abstract We demonstrate that lyotropic liquid crystalline (LC) phases, formed by the molecular interactions between 1‐glyceryl monooleyl ether (GME) and water, offer new pathways for producing crack‐free particulate films from colloidal suspensions. Drying experiments on titanium dioxide‐ethanol‐water‐GME suspension systems revealed a 15‐fold increase ...
Masato Yamamura
wiley   +1 more source

A Semi-Analytical Solution for a Porous Channel Flow of a Non-Newtonian Fluid

open access: yesJournal of Applied Fluid Mechanics, 2016
A theoretical study of steady laminar two-dimensional flow of a non-Newtonian fluid in a parallel porous channel with variable permeable walls is carried out.
P. Vimala, P. Blessie Omega
doaj  

Variations in pulsatile flow around stenosed microchannel depending on viscosity.

open access: yesPLoS ONE, 2019
In studying blood flow in the vessels, the characteristics of non-Newtonian fluid are important, considering the role of viscosity in rheology. Stenosis, which is an abnormal narrowing of the vessel, has an influence on flow behavior. Therefore, analysis
Hyeonji Hong, Jae Min Song, Eunseop Yeom
doaj   +1 more source

Physics‐informed neural networks (PINNs) for high‐resolutional prediction of shear stress on cells in suspension culture

open access: yesAIChE Journal, EarlyView.
Abstract The effect of shear stress on cell behaviors should be considered for designing the suspension culture of mammalian cells. Computational flow dynamics (CFD) is a promising tool for estimating shear stress on cells, but the accuracy is limited due to resolution limitations.
Ikki Horiguchi   +2 more
wiley   +1 more source

Rheology of waxy oils: A critical review

open access: yesApplications in Engineering Science
Waxy oil is a rheologically complex material presenting shear-rate-dependent viscosity, static and dynamic yield stresses, gel elasto-viscoplasticity, time/deformation-dependent gel structure, and irreversibility.
Diogo E.V. Andrade, Cezar O.R. Negrão
doaj  

Modeling and numerical simulation of non-Newtonian arterial blood flow for mild to severe stenosis

open access: yesAlexandria Engineering Journal, 2023
The fundamental cause of coronary heart disease is thought to be atherosclerosis. Blood flow in arteries under plaque formation is widely studied using both experimental and theoretical methods in literature.
Sohail Nadeem   +8 more
doaj  

Multistable Physical Neural Networks

open access: yesAdvanced Intelligent Systems, EarlyView.
This article presents the integration of mechanical bistability into physical neural networks (PNNs), enabling memory retention and bridging computation with physical action. By mapping the equilibrium states of bistable, liquid‐filled chambers, it explores stability and introduces global and local training algorithms.
Ben‐Haim Eran   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy