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Like I said, these correlations are based on experimental data. They are what the individual authors judged as the best fit to the data. They will all give very similar predictions. In the case of the viscosity factor, as I said, leaving that out is equivalent to assuming that the temperature difference between the bulk and the wall is small.Jay_ said:Check the "Dittus-Boelter" relation here in the very end of the document:
http://www.me.umn.edu/courses/old_me_course_pages/me3333/gallery/eq 3.pdf
I found another link (I can't locate it now), which had different equations for turbulent flow in a circular pipe for different range of Reynolds numbers.
The viscosity factor is the ratio of the viscosity at the tube wall temperature to the viscosity at the bulk gas temperature (to the 0.14 power).Like in example 1.4-2 I guess (for viscosity). But then what does the viscosity factor become?
In another chapter, they have the mixing rules for thermal conductivity. Of course, for heat capacity, the mixture rule is just mole fraction.
These constants are molecular properties characteristic of the particular substance, and are independent of the temperature and pressure.Also, there is example 1.4-1 in which they find the viscosity at various temperatures for CO2. It looks like this uses other constants characteristic to the gas. How do we know these values for the gas in the exhaust?
But shouldn't we have done this when we assumed the constants of the gas? We picked all the constants for air.
Yes, but I wanted you to see some results, even if they are not very accurate (yet). And, I wanted to bring you along gradually, so that all the complexity was not included at one time. I have lots of experience doing modelling, and I have found great value in starting simple and seeing results early on. I have found this approach to be very effective. My three basic principles for doing modelling are:
1. Start simple
2. Start simple
and
3. Start simple
Why? If you can't solve a simple version of your problem, then you certainly won't be able to solve it in full complexity. Plus, you get to see some results right away. Plus, you will get to see what each successive refinement makes in the final results.
I have literature from Volkswagen that shows the percentages in the exhaust emissions by mass are as follows :
N2 = 71%
CO2 = 14%
H2O = 13%
CO, HC, NOX = 2% (I assume all of this to be CO)
This is by mass. Now, by my calculations on 100 g of this exhaust gas. We have the following:
Moles of each gas
moles of N2 = 71/28 ≈ 2.5357
moles of CO2 = 14/44 ≈ 0.3182
moles of H2O = 13/18 ≈ 0.7222
moles of CO = 2/28 ≈ 0.0714
Total moles : 3.6475
Mole fractions
mole fraction of N2 = 2.5357/3.6475 ≈ 0.6952
mole fraction of CO2 = 0.3182/3.6475 ≈ 0.0872
mole fraction of H2O = 0.7222/3.6475 ≈ 0.1980
mole fraction of CO = 0.0714/3.6475 ≈ 0.0196
OK. This is good. Now, if you have data on the individual species (like N2 from toolbox), you don't need to use the estimation procedures in BSL for those species. Of course, this is better than using the estimation procedures. However, you will still need to apply the mixing rules.
Chet