نتایج جستجو برای: thermal conductivity measurement

تعداد نتایج: 682419  

Journal: :SN applied sciences 2022

Abstract The rise in the use of additive manufacturing highlights importance knowing properties materials employed this technology. Therefore, for commercialization thermal applications with technology, heat management is essential. Here, computational modelling often utilised to simulate transfer various components, and precisely values conductivity one key parameters. In line research, paper ...

The lattice Boltzmann method (LBM) was used to analyze two-dimensional (2D) non-Fourier heat conduction with temperature-dependent thermal conductivity. To this end, the evolution of wave-like temperature distributions in a 2D plate was obtained. The temperature distributions along certain parts of the plate, which was subjected to heat generation and constant thermal conductivity condit...

2001
A. Hagermann S. Tanaka S. Yoshida M. Hayakawa A. Fujimura H. Mizutani

The two penetrators to be launched in the LUNAR–A mission in 2003 by the Institute of Space and Astronautical Science, aim at investigating the internal structure of the Moon. Each penetrator is designed to conduct seismic and heat–flow experiments [2]. For determining the lunar heat–flow two parameters need to be measured: one is the thermal gradient @T=@z, the other is the thermal conductivit...

Journal: :TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series B 2004

Journal: :TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series B 1996

Journal: :journal of heat and mass transfer research(jhmtr) 2014
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...

Journal: :پژوهش های علوم و صنایع غذایی ایران 0
zeynab raftani amiri hengameh darzi arbabi

thermal conductivity is an important property of juices in the prediction of heat- and mass-transfer coefficients and in the design of heat- and mass-transfer equipment for the fruit juice industry. an artificial neural network (ann) was developed to predict thermal conductivity of pear juice. temperature and concentration were input variables. thermal conductivity of juices was outputs. the op...

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