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
2012 ◽  
Vol 44 (3) ◽  
pp. 441-453 ◽  
Author(s):  
Denis A. Hughes ◽  
Evison Kapangaziwiri ◽  
Jane Tanner

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.


1962 ◽  
Vol 6 ◽  
pp. 74-84
Author(s):  
John V. Gilfrich

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.


1959 ◽  
Vol 32 (2) ◽  
pp. 519-526
Author(s):  
V. I. Alekseenko ◽  
L. A. Bogoslavskaya ◽  
I. U. Mishustin

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.


1987 ◽  
Vol 1987 (1) ◽  
pp. 241-246 ◽  
Author(s):  
Mervin F. Fingas ◽  
Mark A. Bobra ◽  
Ronald K. Velicogna

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.


Sign in / Sign up

Export Citation Format

Share Document