Results 141 to 150 of about 114,827 (292)

Computational Analysis of Spray Angle Effects on Combustion and Emissions in Methane‐Diesel Dual‐Fuel Engine

open access: yesEnergy Science &Engineering, EarlyView.
This study concluded that wider spray angles produce wall impingement and greater unburned hydrocarbons in methane‐diesel dual‐fuel engines, whereas 110° balances efficiency and emissions. ABSTRACT A diesel methane dual fuel engine appears as a potential means for lowering emissions while retaining useful thermal efficiency.
Abdullah Al Rifat   +4 more
wiley   +1 more source

Boundary Layer Meshing and Wall Functions Selection for Numerical Simulation of Solid–Liquid Two‐Phase Flow

open access: yesEnergy Science &Engineering, EarlyView.
This figure illustrates the optimal near‐wall treatment schemes (first‐layer height and wall function type) for solid–liquid two‐phase CFD of suspended sediment, which are correlated with particle size and flow velocity. ABSTRACT Near‐wall treatment (boundary‐layer meshing and wall functions) is a major uncertainty in solid–liquid two‐phase CFD of ...
Zichao Zhang   +4 more
wiley   +1 more source

Calculation and Corrections of Kinematic Viscosity and Intrinsic Viscosity [PDF]

open access: yesActa Physico-Chimica Sinica, 1991
Chen Li-Ban, Yang Shu-Ying
openaire   +1 more source

Impact of Uncertain Parameters on Navier–Stokes Equations With Heat Transfer via Polynomial Chaos Expansion

open access: yesInternational Journal for Numerical Methods in Fluids, EarlyView.
This study investigates the impact of uncertain parameters on Navier–Stokes equations coupled with heat transfer using the Intrusive Polynomial Chaos Method (IPCM). Sensitivity equations are formulated for key input parameters, such as viscosity and thermal diffusivity, and solved numerically using the Finite Element‐Volume method.
N. Nouaime   +3 more
wiley   +1 more source

Direct Numerical Simulation of Magnetohydrodynamic Slip‐Flow Past a Stretching Surface Using Physics‐Informed Neural Network

open access: yesHeat Transfer, EarlyView.
ABSTRACT Traditional numerical methods, such as finite difference methods (FDM), finite element methods (FEM), and spectral methods, often face meshing challenges and high computational cost for solving nonlinear coupled differential equations. Machine learning techniques, specifically Physics‐informed machine learning, address these obstacles by ...
Ahmad, Feroz Soomro, Husna Zafar
wiley   +1 more source

Flexible ionic pressure sensors: From migration‐electronic mechanisms to emerging iontronic paradigms

open access: yesInfoMat, EarlyView.
Mechanisms, materials, structures, and applications of the FIPSs. Abstract Flexible ionic pressure sensors (FIPS) have emerged as promising candidates for bridging the gap between electronics and biologically compatible interfaces. Unlike previous reviews, which focused primarily on materials or devices, this review presents a classification of FIPS ...
Mengjie Wang   +10 more
wiley   +1 more source

Application Research of Microstructured Flexible Sensors in Rehabilitative Wearable Sensing

open access: yesiNew Medicine, EarlyView.
ABSTRACT Flexible sensors enable the continuous, real‐time monitoring of the physiological and movement signals of patients, providing data support for precise rehabilitation strategies and playing a crucial role in rehabilitation medicine. However, traditional rigid sensors are often incompatible with dynamic body contours due to their high material ...
Ling Zhu   +4 more
wiley   +1 more source

Managing the meniscus part I—Anatomy, biomechanics, and treatment strategies for the atraumatic meniscus tear

open access: yesKnee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose The purpose of this article is to serve as the first of a two‐part review on the meniscus; in this review, we will establish the background on anatomy and pathogenesis of the meniscus, as well as the effect of the meniscus on native knee kinematics and function.
Ehab M. Nazzal   +13 more
wiley   +1 more source

In Situ Synthesized Glycerol‐Releasing Nanocarriers Unlock Superlubricity in Oil‐Based Lubricants

open access: yesMacromolecular Materials and Engineering, EarlyView.
This study presents an in situ synthesis of glycerol‐based nanocarriers in hydrophobic lubricant oils via inverse miniemulsion polymerization. Encapsulating glycerol within a glycerol‐based polyurethane shell resolves miscibility issues between glycerol and the hydrophobic base oil, yielding novel nanoadditives with tunable glycerol loading.
Sarah S. Lembke   +4 more
wiley   +1 more source

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