A Method for Predicting the Mean Thermal Conductivity of Insulating Materials at Other Than Experimental Conditions

1963 ◽  
Vol 85 (2) ◽  
pp. 185-186
Author(s):  
C. E. Jones
Keyword(s):  
Experimental Data ◽  
Thermal Conductivity ◽  
Operating Conditions ◽  
Conductivity Data ◽  
Experimental Conditions ◽  
Insulating Materials ◽  
Thermal Conductivity Data ◽  
Test Conditions ◽  
The Mean

A procedure whereby experimental thermal conductivity data can be readily extrapolated to operating conditions quite different from test conditions is presented. Use of this technique can also lessen the amount of experimental data that must be collected and ease experimental problems.

scholarly journals The Classical Nature of Thermal Conduction in Nanofluids

2010 ◽  
Vol 132 (10) ◽  
Author(s):  
Jacob Eapen ◽  
Roberto Rusconi ◽  
Roberto Piazza ◽  
Sidney Yip
Keyword(s):  
Experimental Data ◽  
Thermal Conductivity ◽  
Strong Evidence ◽  
Thermal Conduction ◽  
Base Fluid ◽  
Liquid Mixtures ◽  
Large Set ◽  
Conductivity Data ◽  
Homogeneous Systems ◽  
Thermal Conductivity Data

We show that a large set of nanofluid thermal conductivity data falls within the upper and lower Maxwell bounds for homogeneous systems. This indicates that the thermal conductivity of nanofluids is largely dependent on whether the nanoparticles stay dispersed in the base fluid, form large aggregates, or assume a percolating fractal configuration. The experimental data, which are strikingly analogous to those in most solid composites and liquid mixtures, provide strong evidence for the classical nature of thermal conduction in nanofluids.

scholarly journals Dynamics of the Blade Channel of an Inducer Under Cavitation-Induced Instabilities

2018 ◽  
Vol 141 (4) ◽  
Author(s):  
Angelo Pasini ◽  
Ruzbeh Hadavandi ◽  
Dario Valentini ◽  
Giovanni Pace ◽  
Luca d'Agostino
Keyword(s):  
Experimental Data ◽  
Spectral Analysis ◽  
Main Flow ◽  
Operating Conditions ◽  
Flow Instabilities ◽  
Mean Flow ◽  
Flow Oscillations ◽  
Rotating Frames ◽  
The Mean ◽  
High Head

A high-head three-bladed inducer has been equipped with pressure taps on the hub along the blade channels with the aim of more closely investigating the dynamics of cavitation-induced instabilities developing in the impeller flow. Spectral analysis of the pressure signals obtained from two sets of transducers mounted both in the stationary and rotating frames has allowed to characterize the nature, intensity, and interactions of the main flow instabilities detected in the experiments: subsynchronous rotating cavitation (RC), cavitation surge (CS), and a high-order axial surge oscillation. A dynamic model of the unsteady flow in the blade channels has been developed based on experimental data and on suitable descriptions of the mean flow and the oscillations of the cavitating volume. The model has been used for estimating at the inducer operating conditions of interest the intensity of the flow oscillations associated with the occurrence of the CS mode generated by RC in the inducer inlet.

Thermal conductivity data for refrigerant mixtures containing R1234yf and R1234ze(E)

2019 ◽  
Vol 133 ◽  
pp. 135-142 ◽  
Author(s):  
Sofia K. Mylona ◽  
Thomas J. Hughes ◽  
Amina A. Saeed ◽  
Darren Rowland ◽  
Juwoon Park ◽  
...  
Keyword(s):  
Thermal Conductivity ◽  
Conductivity Data ◽  
Thermal Conductivity Data ◽  
Refrigerant Mixtures

A Review of Thermal Conductivity Data, Mechanisms and Models for Nanofluids

2010 ◽  
Vol 1 (4) ◽  
pp. 269-322 ◽  
Author(s):  
Ji-Hwan Lee ◽  
Seung-Hyun Lee ◽  
Chul Choi ◽  
Seok Jang ◽  
Stephen Choi
Keyword(s):  
Thermal Conductivity ◽  
Conductivity Data ◽  
Thermal Conductivity Data

Estimating thermal diffusivity and specific heat from needle probe thermal conductivity data

2006 ◽  
Vol 77 (4) ◽  
pp. 044904 ◽  
Author(s):  
William F. Waite ◽  
Lauren Y. Gilbert ◽  
William J. Winters ◽  
David H. Mason
Keyword(s):  
Thermal Conductivity ◽  
Thermal Diffusivity ◽  
Specific Heat ◽  
Conductivity Data ◽  
Thermal Conductivity Data ◽  
Needle Probe
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