Experimental Determination of the Melting Point and Heat Capacity for a Free Cluster of 139 Sodium Atoms

1997 ◽  
Vol 79 (1) ◽  
pp. 99-102 ◽  
Author(s):  
Martin Schmidt ◽  
Robert Kusche ◽  
Werner Kronmüller ◽  
Bernd von Issendorff ◽  
Hellmut Haberland
Keyword(s):  
Heat Capacity ◽  
Melting Point ◽  
Experimental Determination ◽  
Free Cluster ◽  
Sodium Atoms

Methods of Increasing the Measurement Accuracy during the Experimental Determination of the Melting Point of Graphite

2004 ◽  
Vol 42 (1) ◽  
pp. 60-67 ◽  
Author(s):  
A. Yu. Basharin ◽  
M. V. Brykin ◽  
M. Yu. Marin ◽  
I. S. Pakhomov ◽  
S. F. Sitnikov
Keyword(s):  
Melting Point ◽  
Experimental Determination ◽  
Measurement Accuracy

The Experimental Determination of the Heat Capacity of Gaseous Ozone

1934 ◽  
Vol 2 (5) ◽  
pp. 294-295 ◽  
Author(s):  
Bernard Lewis ◽  
Guenther von Elbe
Keyword(s):  
Heat Capacity ◽  
Experimental Determination ◽  
Gaseous Ozone

Equipment for the Experimental Determination of Thermal Properties of Fluids at Elevated Pressures

1972 ◽  
Vol 94 (4) ◽  
pp. 757-764 ◽  
Author(s):  
P. R. Bishnoi ◽  
D. B. Robinson
Keyword(s):  
Heat Capacity ◽  
Thermal Properties ◽  
Heat Exchanger ◽  
Experimental Determination ◽  
High Pressures ◽  
Heat Capacities ◽  
Compressible Fluids ◽  
Flow Calorimetry ◽  
Elevated Pressures

The available methods for determining the thermal properties of compressible fluids by flow calorimetry are reviewed and an analysis is given for the method of determining heat capacity ratios by passing the fluid at low and high pressures through a heat exchanger. The design of the heat exchanger calorimeter and its associated equipment are described in detail. The performance of the equipment in determining the heat capacities of nitrogen was evaluated at temperatures of 60.2, 75.7, and 150.4 deg C and at pressures up to 2200 psi. The results were compared where possible with those of other workers. Agreement was within about ±0.5 percent which is the anticipated accuracy of the method.

Experimental Determination of Thermal Properties of Highly Viscous Liquids

2014 ◽  
Vol 1041 ◽  
pp. 39-42
Author(s):  
Petra Vojkůvková ◽  
Ondřej Šikula
Keyword(s):  
Thermal Conductivity ◽  
Heat Capacity ◽  
Thermal Properties ◽  
Experimental Determination ◽  
Direct Method ◽  
Energy Performance ◽  
Viscous Fluids ◽  
Heating And Cooling ◽  
Set Up

This contribution deals with experimental determination of thermal properties needed for transient heat transfer calculation by conduction in highly viscous fluids; which are the density, thermal conductivity and specific heat capacity. Density was determined by direct method, heat capacity was measured with mixing calorimeter and thermal conductivity was studied with two different measuring equipments. Experimental set up for determination of thermal conductivity was designed and constructed by the author. Results were corrected by numerical simulations in CalA software. All measurement quantities were compared with calculations based on the chemical composition of the substance. The determined thermal properties can be used for calculation of energy performance of heating and cooling of highly viscous fluids.

Modeling of average surface energy estimator using computational intelligence technique

2015 ◽  
Vol 11 (2) ◽  
pp. 284-296 ◽  
Author(s):  
Taoreed O Owolabi ◽  
Kabiru O Akande ◽  
Olatunji O Sunday
Keyword(s):  
Melting Point ◽  
Surface Energy ◽  
Experimental Determination ◽  
Computational Intelligence ◽  
Content Type ◽  
Average Surface ◽  
Surface Energies ◽  
Computational Intelligence Technique ◽  
Intelligence Technique

Purpose – The surface energy per unit area of material is known to be proportional to the thermal energy at the melting point of the material. The purpose of this paper is to employ the values of the melting points of metals to develop a model that estimates the average surface energies of metals. Average surface energy estimator (ASEE) was developed with the aid of computational intelligence technique on the platform of support vector regression (SVR) using the values of the melting point of the materials as the descriptor. Design/methodology/approach – The development of ASEE which involves 12 data set was conducted by training and testing SVR model using test-set-cross-validation technique. The developed model (ASEE) was used to estimate average surface energies of 3d, 4d, 5d and other selected metals in the periodic table. The average surface energies obtained from ASEE are in good agreement with the experimental values and with the values from other theoretical models. Findings – The accuracy of this developed model coupled with its adoption of descriptor that can be easily obtained makes it a viable alternative in circumventing the difficulty experienced in experimental determination of average surface energies of materials. Originality/value – Modeling of ASEE has never been reported in the literature. Meanwhile, the use of ASEE will help circumvent the difficulties involved in the experimental determination of average surface energies of materials.

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