نتایج جستجو برای: thermal conductivity of gases

تعداد نتایج: 21190392  

2017
Jacques H Abraini Hélène N David Jean-Éric Blatteau Jean Jacques Risso Nicolas Vallée

The noble gases xenon (Xe) and helium (He) are known to possess neuroprotective properties. Xe is considered the golden standard neuroprotective gas. However, Xe has a higher molecular weight and lower thermal conductivity and specific heat than those of nitrogen, the main diluent of oxygen (O2) in air, conditions that could impair or at least reduce the intrinsic neuroprotective properties of ...

2008
J. R. Bezerra R. Silva J. A. S. Lima

We discuss the basic transport phenomena in gases and plasmas obeying the q-nonextensive velocity distribution (power-law). Analytical expressions for the thermal conductivity (Kq) and viscosity (ηq) are derived by solving the Boltzmann equation in the relaxation-time approximation. The available experimental results to the ratio Kq/ηq constrains the q-parameter on the interval 0.74 ≤ q ≤ 1. In...

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...

2007
Bhasker Gahtori Ratan Lal S K Agarwal M A H Ahsan Ashok Rao Y F Lin K M Sivakumar Y-K Kuo

Thermal conductivity κ(T ) and thermoelectric power S(T ) studies on (Y,Gd)Ba2(Cu1−xMnx)3O7−δ (x 0.02) superconductors are presented here. Thermal conductivity for all the samples exhibits a hump below the superconducting transition temperature Tc. The peak height of the hump decreases with the Mn content in both the Yand Gd-based systems, barring GdBa2(Cu0.99Mn0.01)3O7−δ. The peak height reduc...

In this paper, we investigated the statistical analysis of thermal conductivity of nanofluids containing of decorated Ag nanorods with Cu nanoparticles. For this purpose Ag-Cu hybrid is synthesized and characterized using transmission electron microscopy (TEM) and X-ray diffraction pattern (XRD). TEM image shows that Cu nanoparticles successfully decorate on the outer surface of Ag nanorods. Th...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه اراک - دانشکده علوم پایه 1389

انتقال سریع و آسان گرما از مهمترین مسائل صنعت انتقال گرماست. نانوسیالات انواع جدیدی از سیالات هستند که از پراکنده سازی نانوذرات در سیالات پایه تهیه می شوند. تکنولوژی نانوسیال، چالش جدیدی برای هدایت گرمایی سیالات پایه است. دلیل این چالش، هدایت گرمایی نسبتا زیاد نانوسیالات نسبت به سیالات پایه است. در این تحقیق نانوسیال جدیدی که علاوه بر هدایت گرمایی زیاد، ویسکوزیته مناسبی نیز داشته باشد، مورد برر...

In recent decades, the use of nanofluids has attracted much attention due to its application in various fields such as medical and industries like oil and gas. The combination of nanoparticles with base fluids and its type can produce different results depending on the characteristics of the nanoparticles, one of which is the effect of changes in the viscosity and thermal conductivity of the na...

2011
W. B. Durham O. Prieto - Ballesteros D. L. Goldsby J. S. Kargel

Laboratory measurements of physical properties of planetary ices generate information for dynamical models of tectonically active icy bodies in the outer solar system. We review the methods for measuring both flow properties and thermal properties of icy planetary materials in the laboratory, and describe physical theories that are essential for intelligent extrapolation of data from laboratory...

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...

Journal: :international journal of nano dimension 0
m. sahooli nano chemical eng. dep., faculty of advanced technologies, shiraz university, shiraz, iran. s. sabbaghi nano chemical eng. dep., faculty of advanced technologies, shiraz university, shiraz, iran. r. maleki nano chemical eng. dep., faculty of advanced technologies, shiraz university, shiraz, iran. m. m. nematollahi school of electrical and computer engineering, shiraz university, shiraz, iran.

statistical methods, and especially machine learning, have been increasingly used in nanofluid modeling. this paper presents some of the interesting and applicable methods for thermal conductivity prediction and compares them with each other according to results and errors that are defined. the thermal conductivity of nanofluids increases with the volume fraction and temperature. machine learni...

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