scholarly journals TOPAZ2D heat transfer code users manual and thermal property data base

1990 ◽  
Author(s):  
A.B. Shapiro ◽  
A.L. Edwards
Keyword(s):  
Heat Transfer ◽  
Thermal Property ◽  
Data Base ◽  
Property Data

Design and Heat Transfer Property of the Warming Compound Blocks Contained Slag Concrete

2013 ◽  
Vol 712-715 ◽  
pp. 869-872
Author(s):  
Jiang San Zheng ◽  
Gao Zhan Zhang ◽  
Shao Feng Zhu
Keyword(s):  
Heat Transfer ◽  
Thermal Resistance ◽  
Thermal Property ◽  
Transfer Property ◽  
Heat Transfer Property ◽  
New Type ◽  
Aerated Concrete

In this paper, a new type of warming compound blocks with slag concrete was designed and prepared. The effect of specification, hole pattern and form of warming compound blocks on the thermal property of the blocks was researched. The results show that, with the addition of slag, EPS and aerated concrete, the thermal property will be improved greatly. The thermal resistance of warming compound blocks with three rows of EPS would reach 1.13 m2•K/W, and the thermal resistance of warming compound blocks with three rows of aerated concrete would reach 0.83 m2•K/W.

scholarly journals The Treatment of Nongray Properties in Radiative Heat Transfer: From Past to Present

2013 ◽  
Vol 135 (6) ◽  
Author(s):  
Michael F. Modest
Keyword(s):  
Heat Transfer ◽  
High Temperature ◽  
Radiative Heat Transfer ◽  
Historical Development ◽  
Radiative Heat ◽  
State Of The Art ◽  
Participating Media ◽  
Box Models ◽  
Property Data ◽  
Gradual Development

Radiative heat transfer in high-temperature participating media displays very strong spectral, or “nongray,” behavior, which is both very difficult to characterize and to evaluate. This has led to very gradual development of nongray models, starting with primitive semigray and box models based on old experimental property data, to today's state-of-the-art k-distribution approaches with properties obtained from high-resolution spectroscopic databases. In this paper a brief review of the historical development of nongray models and property databases is given, culminating with a more detailed description of the most modern spectral tools.

scholarly journals Statistical Modeling for Nanofluid Flow: A Stretching Sheet with Thermophysical Property Data

2020 ◽  
Vol 4 (1) ◽  
pp. 3 ◽  
Author(s):  
Alias Jedi ◽  
Azhari Shamsudeen ◽  
Noorhelyna Razali ◽  
Haliza Othman ◽  
Nuryazmin Ahmat Zainuri ◽  
...  
Keyword(s):  
Heat Transfer ◽  
Differential Equation ◽  
Stretching Sheet ◽  
Volume Fraction ◽  
Nonlinear Ordinary Differential Equation ◽  
Numerical Results ◽  
Nanoparticle Volume Fraction ◽  
Nanofluid Flow ◽  
Property Data ◽  
Layer Flow

This paper reports the use of a numerical solution of nanofluid flow. The boundary layer flow over a stretching sheet in combination of two nanofluids models is studied. The partial differential equation that governs this model was transformed into a nonlinear ordinary differential equation by using similarity variables, and the numerical results were obtained by applying the shooting technique. Copper (Cu) nanoparticles (water-based fluid) were used in this study. This paper presents and discusses all numerical results, including those for the local Sherwood number and the local Nusselt number. Additionally, the effects of the nanoparticle volume fraction, Brownian motion Nb, and thermophoresis Nt on the performance of heat transfer are discussed. The results show that the stretching sheet has a unique solution: as the nanoparticle volume fraction φ (φ = 0), Nt (Nt = 0.1), and Nb decrease, the rate of heat transfer increases. Furthermore, as φ (φ = 0) and Nb decrease, the rate of mass transfer increases. The data of the Nusselt and Sherwood numbers were tested using different statistical distributions, and it is found that both datasets fit the Weibull distribution for different values of Nt and rotating φ.

Impact of Uncertainty On Prediction of Supercritical CO2 Properties and Nusselt Numbers

2021 ◽  
Author(s):  
Neil Sullivan ◽  
Yang Chao ◽  
Sandra Boetcher ◽  
Mark Ricklick
Keyword(s):  
Heat Transfer ◽  
Critical Point ◽  
Supercritical Co2 ◽  
Transfer Rates ◽  
Nusselt Numbers ◽  
Property Data ◽  
Highly Sensitive ◽  
Fluid Properties ◽  
Temperature And Pressure ◽  
The Impact

Abstract The impact of measurement uncertainty on heat transfer coefficient correlations for supercritical CO2 is investigated. Selection of appropriate temperature- and pressure-dependent reference quantities for these correlations, such as thermal conductivity, appears to have a large effect on predicting heat transfer rates. Supercritical CO2 work heavily depends on tabular real fluid property data, which show that fluid properties have very large gradients with respect to temperature and pressure near the critical point. The sharp gradients imply heat transfer predictions are highly sensitive to the accuracy of temperature and pressure experimental measurements in this region. Root sum of squares (RSS) uncertainties of various property values indicate predictably large (on the order of 1000%) uncertainties in calculated Reynolds, Prandtl, and Nusselt numbers near the critical point. Interestingly, uncertainties remain several times the calculated value for operating pressures (between 7.5 and 8.5 MPa) common in the experimental literature, highlighting a need for careful application of correlations near the pseudocritical line, and the benefits of presenting dimensional data in the literature.

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