نتایج جستجو برای: conductivity

تعداد نتایج: 50623  

2016
Khalil Khanafer Kambiz Vafai

A comprehensive analysis of the thermal conductivity of graphene under various conditions is presented in this study. Results obtained from different experimental and theoretical methods are analyzed and discussed for numerous conditions such as preparation process, shape, sample size, wavelength, and temperature. Wide discrepancies in the measured thermal conductivity results were found in man...

Journal: :Magnetic resonance in medicine 2014
Dong-Hyun Kim Narae Choi Sung-Min Gho Jaewook Shin Chunlei Liu

PURPOSE Approaches for quantitative mapping of electric conductivity and magnetic susceptibility using MRI have been developed independently. The purpose of this study is to present a method to simultaneously acquire information on conductivity and susceptibility and to produce images based on these properties. METHODS A 3D multiecho gradient-echo sequence was used. Phase evolution during the...

2009
X Li

Magnetoacoustic tomography with magnetic induction (MAT-MI) is an approach proposed to do non-invasive electrical conductivity imaging of biological tissue using magnetic induction and ultrasound measurements. In the present study, based on the analysis of the relationship between the conductivity distribution and the generated MAT-MI acoustic source, we propose a new multi-excitation algorithm...

Mohammad Hemmat Esfe, Seyfolah Saedodin

Experimental study of effective thermal conductivity of ZnO/EG nanofluid is presented in thisresearch. The nanofluid was prepared by dispersing Zno nanoparticles in ethylene glycol using asonicator and adding surfactant. Ethylene glycol based nanofluid containing ZnO nanoparticlewith a nominal diameter of 18 nm at different solid volume fractions (very low to high) atvarious temperatures was ex...

This study was designed to experimentally measure the thermal and electrical conductivities of Aluminium Nitride/Ethylene Glycol (AlN/EG) nanofluids. Transmission electron microscopy (TEM) was used to characterize the shape of AlN nanoparticles. Nanofluids with different particle volume concentrations of 0.5%, 1%, 2%, 3%, 4%, and 5% were utilized. The thermal and electrical conductivities of the...

In the current research, thermal conductivity of magnetite (Fe3O4) has been calculated using molecular dynamic simulation. The rNEMD Molecular Dynamics Method provided in the LMMPS package is used for the simulation of the thermal conductivity. The effects of magnetite layer size and temperature on the thermal conductivity have been investigated. The numerical results have...

Nanofluids are suspensions of nanoparticles in the base fluids, a new challenge for thermal sciences provided by nanotechnology. In this paper, the tested fluids are prepared by dispersing the Al and Cu into water at three different concentrations such as 500, 1000 and 2000 ppm. Thermal conductivities of these fluids are measured experimentally by thermal property analyzer i.e. KD2 Pro by using...

Liquid paraffin as a coolant fluid can be  applied in electronic devices as a result to its suitable capabilities such as electrical insulating, high heat capacity, chemical and thermal stability, and high boiling point. However, the poor thermal conductivity of paraffin has been confined its thermal cooling application. Addition of high conductor nanoparticles to paraffin can fix this drawback...

ژورنال: سرامیک ایران 2022

Nanofluid is a suspension obtained by adding nanoscale particles (100 nm) to a base fluid to improve heat transfer. In this study, the effect of temperature and concentration of nanoparticles consisting of Alumina nanoparticles and Graphene nanosheets on the thermal conductivity of a base fluid consisting of water and ethylene glycol was studied. Also, 0.2% by volume of oleic acid (OA) and 0.2%...

Journal: :nanomedicine research journal 0
reza aghayari young researchers and elite club, shahrood branch, islamic azad university, shahrood, iran heydar maddah department of chemistry, sciences faculty, arak branch, islamic azad university, arak, iran ali reza faramarzi department of chemical engineering, islamic azad university, saveh branch, saveh, iran hamid mohammadiun department of mechanical engineering, shahrood branch, islamic azad university, shahrood, iran mohammad mohammadiun department of mechanical engineering, shahrood branch, islamic azad university, shahrood, iran

objective(s): this study aims to evaluate and predict the thermal conductivity of iron oxide nanofluid at different temperatures and volume fractions by artificial neural network (ann) and correlation using experimental data. methods: two-layer perceptron feedforward artificial neural network and backpropagation levenberg-marquardt (bp-lm) training algorithm are used to predict the thermal cond...

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