Predicting Transport Properties of Dilute Gases

Brokaw, Richard S.

doi:10.1021/i260030a015

Cited by 178 publications

(83 citation statements)

References 24 publications

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“…The individual gas thermal conductivity models and fit coefficients in both codes agree with those listed in MATPRO (Hagrman et al 1981). The methodology for calculating the thermal conductivity of gas mixtures is identical in both codes (with the exception of one difference in the fourth and fifth significant digits of the "a" parameter for steam (H 2 O)) and agrees with that described in Hagrman et al Gambhir et al (1967), and Brokaw (1969). The Kr model is based on data from Kannuluik and Carman (1952), von Ubisch (1959), Zaitseva (1959), and Gambhir et al (1967).…”

Section: 165supporting

confidence: 72%

“…The H 2 model is based on data from Johnston and Grilly (1946) and Timrot and Umanskii (1966). The N 2 model is based on data from Keyes (1952), Cheung et al (1962), and Brokaw (1969). The low temperature steam thermal conductivity model is taken from the American Society of Mechanical Engineers (ASME) (ASME, 1968), and the high temperature steam conductivity model is taken from Tsederberg (1965).…”

Section: 165mentioning

confidence: 99%

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Predictive Bias and Sensitivity in NRC Fuel Performance Codes

Geelhood¹,

Luscher²,

Senor³

et al. 2009

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Section: 165supporting

confidence: 72%

Section: 165mentioning

confidence: 99%

Predictive Bias and Sensitivity in NRC Fuel Performance Codes

Geelhood¹,

Luscher²,

Senor³

et al. 2009

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“…To describe the mass transfer of heavy plasma particles (ions, neutral unexcited and excited atoms), we use the mass transfer equation for a multicomponent mixture [18][19][20]: is the intensity of the source of the th component; → is the average velocity vector; is the mixture density.…”

Section: Description Of the Modelmentioning

confidence: 99%

Modeling the Influence of the Penetration Channel’s Shape on Plasma Parameters When Handling Highly Concentrated Energy Sources

Трушников

Саломатова

Bezukladnikov

et al. 2017

Advances in Materials Science and Engineering

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In our work to formulate a scientific justification for process control methods when processing materials using concentrated energy sources, we develop a model that can calculate plasma parameters and the magnitude of the secondary waveform of a current from a non-self-sustained discharge in plasma as a function of the geometry of the penetration channel, thermal fields, and the beam's position within the penetration channel. We present the method and a numeric implementation whose first stage involves the use of a two-dimensional model to calculate the statistical probability of the secondary electrons' passage through the penetration channel as a function of the interaction zone's depth. Then, the discovered relationship is used to numerically calculate how the secondary current changes as a distributed beam moves along a three-dimensional penetration channel. We demonstrate that during oscillating electron beam welding the waveform has the greatest magnitude during interaction with the upper areas of the penetration channel and diminishes with increasing penetration channel depth in a way that depends on the penetration channel's shape. When the surface of the penetration channel is approximated with a Gaussian function, the waveform decreases nearly exponentially.

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“…Many semiconductor to metal transitions have also been studied (39,40) . More recently the production of metallic neon has been achieved (41) . A spinoff of this work is the gadolinium heat pump which has the potential of achieving near Carnot efficiency (4_2_,4_3,44) .…”

Section: Some Other Property Bases and Related Applicationsmentioning

confidence: 99%

“…Probably the most detailed treatment is that of Brokaw (41) . A disturbing fact of an analysis of Barrales-Rienda ( 42 ) is that the trend of the experimental Eucken factor with temperature may be quite opposite to the theoretical results.…”

Section: Saturated Vapormentioning

confidence: 99%

The technological importance of accurate thermophysical property information

Sengers¹,

Klein²

1980

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6, 1979. The session was organized by the Committee on Thermophysical Properties (Committee K-7) of the Heat Transfer Division of the ASME. The mandate of this committee is to encourage scientific research in the field of thermophysical properties and to facilitate the flow of information from science to engineering so as to provide the engineering community with an adequate base for thermophysical property information.Of particular concern to the committee are the complications that arise from lack of communication between the users and generators of thermophysical property information. The user may have access to a computer program yielding thermophysical property values, but often does not know to what extent this information is reliable. As a consequence the technological decisions may unknowingly be affected by a lack of accuracy of the thermophysical property information used in the analysis.To call attention to these problems, the committee organized a session devoted to a discussion of the importance of accurate thermophysical property information for technology. The committee is convinced that this issue deserves wider recognition in the engineering community and expresses its appreciation to the National Bureau of Standards for its willingness to publish the proceedings of the meeting. Jan V. Sengers, Chairman Committee K-7 Heat Transfer Division, ASME iii ABSTRACT These papers were presented at a meeting of the American Society of Mechanical Engineers. The meeting session addressed the role of the accuracy of thermophysical properties data in a number of applications areas.The areas covered included aerospace sciences, where such data have played a central role for a number of years; and geosciences, where first steps are being taken toward using accuracy in describing systems in terms of thermophysical properties. Also included were a discussion of the economic value of accuracy in the chemical process industry, a description of the role of data centers, and a description of several high-»quallty data compilations. An example of a specific problem in the design of a heat exchanger for geothermal applications was also presented with the design uncertainties produced by data in accuracies illustrated.

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Predicting Transport Properties of Dilute Gases

Abstract: y he transport properties of dilute monatomic gases and monatomic gas mixtures at low to moderate temperatures are now well understood; the rigorous Chapman-Enskog theory provides an entirely adequate description for such gases. Since the theory is derived for molecules

Cited by 178 publications

References 24 publications

Predictive Bias and Sensitivity in NRC Fuel Performance Codes

Predictive Bias and Sensitivity in NRC Fuel Performance Codes

Modeling the Influence of the Penetration Channel’s Shape on Plasma Parameters When Handling Highly Concentrated Energy Sources

The technological importance of accurate thermophysical property information

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