Search
Search Results
-
Stabilizing the unstructured Volume-of-Fluid method for capillary flows in microstructures using artificial viscosity
Parasitic currents still pose a significant challenge for the investigation of two-phase flow in Lab-on-Chip (LoC) applications with Volume-of-Fluid...
-
Dynamic viscosity prediction of nanofluids using artificial neural network (ANN) and genetic algorithm (GA)
Nanofluids exhibit remarkable thermophysical properties, making them highly promising candidates for heat transfer applications. Viscosity is a...
-
Artificial viscosity—then and now
In this paper, we recount the history of artificial viscosity, beginning with its origin in previously unpublished and unavailable documents,...
-
On the structure of isothermal acoustic shocks under classical and artificial viscosity laws: selected case studies*
Assuming Newton’s law of cooling, the propagation and structure of isothermal acoustic shocks are studied under four different viscosity laws....
-
Modeling of viscosity of composite of TiO2–Al2O3 and ethylene glycol nanofluid by artificial neural network: experimental correlation
The viscosity of TiO 2 -Al 2 O 3 /EG composite nanofluid was examined using a correlation fitted from experiment and an artificial neural network approach....
-
Prediction of Dynamic Viscosity of Biodiesel Using Various Artificial Neural Network Methods, Response Surface Methodology, and Multiple Linear Regressions
In this paper, five machine learning models (feedforward neural network, Radial basis function neural network, Layer Recurrent Neural Network, Elman...
-
Volume-of-fluid-based implementation for the spatiotemporal variation of viscosity in grouting process: transport time tracking approach
Due to the spatiotemporal variation of viscosity, the simulation of grouting processes is quite challenging. In this work, based on the...
-
Statistical and Intelligent Analysis of Viscosity behavior of MgO-MWCNT (25–75%)/10W40 Hybrid Nanolubricant Using Artificial Neural Network Modeling and Response Surface Methodology
This study examines the viscosity of MWCNT-MgO (25–75%)/10W40 hybrid nanolubricant in the solid volume fraction (SVF) range of 0–1%, temperature...
-
Prediction of Vehicle Engine Oil Viscosity Using OBDII Signal
This study presents a method for predicting the viscosity of engine oil by using information on the amount of increase in coolant temperature and...
-
Scalar and Directional Localized Artificial Diffusivity Methods to Capture Shock–Turbulence Interaction
The local artificial diffusivity (LAD)-based methods rely on adding a grid-dependent artificial fluid transport coefficient (shear viscosity, bulk...
-
Accuracy of viscosity regularization models employed by computational fluid dynamics codes
This work evaluated the accuracy of viscosity regularization models employed by different computational fluid dynamics (CFD) codes in the modeling of...
-
An Origami-Like Sheath of a Honeybee Tongue for Fluid Viscosity Sensing
Mechanoreceptors play a vital role for animals to sense and monitor environmental parameters, like flow speed, tactile resistance, and pressure. The...
-
A low-cost and disposable capillary-based paper sensor for measuring blood-plasma viscosity using a smartphone app
Plasma viscosity is a significant biomarker for the detection of several inflammatory diseases such as rheumatoid arthritis, cardiovascular...
-
Investigation of Rupture Risk of Thoracic Aortic Aneurysms via Fluid–Structure Interaction and Artificial Intelligence Method
Patient-specific studies on vascular flows have significantly increased for hemodynamics due to the need for different observation techniques in...
-
Influence of graphite Gibbs surface free energy on the initial viscosity and stability of traditional anode slurry in lithium-ion batteries
The initial viscosity and stability of anode slurry are important for the manufacturing process and later the lithium-ion battery’s performance. The...
-
Global and straightforward models for viscosity prediction of fatty acid alkyl esters
Biodiesel as an alternative and renewable fuel offers a tremendous promising future. Knowledge of the physical properties is crucial for the proper...
-
Application of Artificial Intelligence in Static Formation Temperature Estimation
This study presents a new model to predict the static formation temperature in multiple geothermal fields using multiple machine learning algorithms....
-
Observing Celestial Sights Using an Artificial Horizon
In certain circumstances, the horizonHorizon may not be visible, and thus traditional methods of taking observations will not be possible. When...
-
Experimental and artificial neural network-based slurry erosion behavior evaluation of cast iron
Slurry erosion is the surface degradation process occurring due to the mechanical interactions between the solid surface and the particles in the...
-
Real-Time Prediction of Plastic Viscosity and Apparent Viscosity for Oil-Based Drilling Fluids Using a Committee Machine with Intelligent Systems
The prediction of drilling mud rheological properties is a crucial topic with significant importance in analyzing frictional pressure loss and...
