scholarly journals Combining Numerical Problem Solving With Access To Physical Property Data – A New Paradigm In Che Education

2020 ◽  
Author(s):  
Michael Elly ◽  
Mordechai Shacham ◽  
Michael Cutlip
Keyword(s):  
Problem Solving ◽  
Physical Property ◽  
New Paradigm ◽  
Numerical Problem ◽  
Property Data ◽  
Physical Property Data

Spatial scale effects on model parameter estimation and predictive uncertainty in ungauged basins

2012 ◽  
Vol 44 (3) ◽  
pp. 441-453 ◽  
Author(s):  
Denis A. Hughes ◽  
Evison Kapangaziwiri ◽  
Jane Tanner
Keyword(s):  
Parameter Estimation ◽  
Spatial Scale ◽  
Scale Effects ◽  
Physical Property ◽  
Hydrological Modelling ◽  
Ungauged Basins ◽  
Estimation Equations ◽  
Property Data ◽  
Physical Property Data ◽  
Parameter Values

The most appropriate scale to use for hydrological modelling depends on the model structure, the purpose of the results and the resolution of available data used to quantify parameter values and provide the climatic forcing. There is little consensus amongst the community of model users on the appropriate model complexity and number of model parameters that are needed for satisfactory simulations. These issues are not independent of modelling scale, the methods used to quantify parameter values, nor the purpose of use of the simulations. This paper reports on an investigation of spatial scale effects on the application of an approach to quantify the parameter values (with uncertainty) of a rainfall-runoff model with a relatively large number of parameters. The quantification approach uses estimation equations based on physical property data and is applicable to gauged and ungauged basins. Within South Africa the physical property data are available at a finer spatial resolution than is typically used for hydrological modelling. The results suggest that reducing the model spatial scale offers some advantages. Potential disadvantages are related to the need for some subjective interpretation of the available physical property data, as well as inconsistencies in some of the parameter estimation equations.

CRYOFLUIDS — A Software for Physical Property Data of Cryogenic Fluids

2005 ◽  
pp. 903-909
Author(s):  
P Lalkoshti ◽  
Raja Banerjee ◽  
Abhijit Tarafder ◽  
Sunil Kr Sarangi
Keyword(s):  
Physical Property ◽  
Cryogenic Fluids ◽  
Property Data ◽  
Physical Property Data

Recording Physical Property Data

1935 ◽  
Vol 27 (10) ◽  
pp. 1290-1296
Author(s):  
Charles Haydock
Keyword(s):  
Physical Property ◽  
Property Data ◽  
Physical Property Data

Physical Property Data

1990 ◽  
pp. 113-129
Author(s):  
Andreas Barth
Keyword(s):  
Physical Property ◽  
Property Data ◽  
Physical Property Data

X-Ray Diffraction Studies on the Titanium-Nickel System

1962 ◽  
Vol 6 ◽  
pp. 74-84
Author(s):  
John V. Gilfrich
Keyword(s):  
Heat Treatment ◽  
Room Temperature ◽  
Stoichiometric Composition ◽  
Physical Property ◽  
X Ray Diffraction ◽  
X Ray ◽  
Property Data ◽  
Before And After ◽  
Titanium Nickel ◽  
Physical Property Data

AbstractX-ray diffraction studies were made on the Ti–Ni system around the stoichiometric composition of the intermetallic compound TiNi to clarify some confusion which has existed about the phase diagram in this region, and to explain some anomalies in the physical properties of this material. Wrought and cast samples were examined at room temperature both before and after heat treatment and at temperatures both above and below ambient. The compound TiNi does exist at room temperature. The phase purity of the particular sample was found to be greatly affected by such factors as minor variations in composition, heat treatment, and method of sample preparation. Some confirming metallographlc and physical property data will also be presented.

Compatibility as the Basic Factor in the Adhesion of High Molecular Weight Materials

1959 ◽  
Vol 32 (2) ◽  
pp. 519-526
Author(s):  
V. I. Alekseenko ◽  
L. A. Bogoslavskaya ◽  
I. U. Mishustin
Keyword(s):  
Molecular Weight ◽  
Bond Strength ◽  
Chemical Structure ◽  
Physical Property ◽  
Chemical Surface ◽  
Gutta Percha ◽  
Property Data ◽  
Good Adhesive ◽  
Physical Property Data ◽  
Adhesive Cement

Abstract 1. Relationships were established between the bond strength of joints made from rubber with fabric, leather, or rubber with physical property data from the films made from the mixtures of the adhesive with the rubber from which the vulcanizates were made. 2. The effect of the chemical structure of the adhesive on the bond strength is established. 3. Nairit-NT, mainly the trans isomer of poly-1,4-chloroprene and chemically closely related to gutta percha (trans polyisoprene) gives a good adhesive cement for bonding rubber to fabric, leather, or rubber. It makes chemical surface treatment unnecessary. This new adhesive gives good bonding to SKS-30. Similar results were obtained with cement made from gutta percha; however, bonding strength to SKN-40 rubber was much higher.

LABORATORY STUDIES ON THE CHEMICAL AND NATURAL DISPERSABILITY OF OIL

1987 ◽  
Vol 1987 (1) ◽  
pp. 241-246 ◽  
Author(s):  
Mervin F. Fingas ◽  
Mark A. Bobra ◽  
Ronald K. Velicogna
Keyword(s):  
Laboratory Test ◽  
Laboratory Testing ◽  
Physical Property ◽  
Test Results ◽  
Laboratory Studies ◽  
Oil Viscosity ◽  
Property Data ◽  
Dispersant Effectiveness ◽  
Physical Property Data

ABSTRACT We have reviewed the laboratory testing of the chemical and natural dispersion of oil, noting the weaknesses of the Mackay test and comparing it to other methods. Results of both chemical and natural dispersion tests show that anomalous test results are produced in the Mackay apparatus at 0° C. This is attributed to preferential viscous shearing when the oil viscosity is 30 to 200 centistokes (cs). A new test uses a small swirling flask. Dispersant effectiveness results for ten oils from the Mackay, Labofina, and swirling flask tests were compared and the correlation found to be low. Results from the new swirling flask test correlate well with physical property data, especially viscosity. Each laboratory test produces somewhat unique results, and no way has yet been found to determine which test most accurately represents reality.

The Influence of Improved Physical Property Data on Calculated Heat Transfer Coefficients

1981 ◽  
Vol 2 (3-4) ◽  
pp. 27-39 ◽  
Author(s):  
M. S. NAJJAR ◽  
K. J. BELL ◽  
R. N. MADDOX
Keyword(s):  
Heat Transfer ◽  
Physical Property ◽  
Transfer Coefficients ◽  
Heat Transfer Coefficients ◽  
Property Data ◽  
Physical Property Data
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