Getting started with coolProp

[Lomas Subedi]

Hello there friends, 
Please forgive me if this question is inappropriate  asking in here. 
Recently I am assigned to draw a ph diagram based on the real time data obtained from sensors using CoolProp. CoolProp seems very trustworthy and rich library for my project. But the problem is I am from CS background and know nothing about the fluid properties and thermodynamics. You people might have crossed the same stage where I am right now. Its been a week figuring out about the library and the thermal science stuff but sadly I haven't made any significant breakthrough. So it would be appreciating to get a little guidance and suggestions on the texts and the domain I need to grasp for up and running with CoolProp. Thank you :)

[Matthis Thorade]

Hello,

for a start you should read the paper describing CoolProp:
https://dx.doi.org/10.1021/ie4033999

That is also the paper you should cite when using CoolProp in research.

Then, you could read all the papers cited there.

And then, you could have a look at
http://www.coolprop.org/zbibliography.html

But that is of course too much to read at once.

One paper that might be helpful is this one:
http://dx.doi.org/10.1016/S0378-3812(01)00416-2
Or, if you happen to know German:
http://dx.doi.org/10.1007/PL00010764

What fluid are you using?
If you are using e.g. water, have a look at the references cited for it
http://www.coolprop.org/fluid_properties/fluids/Water.html

Other fluids can be found here:
http://www.coolprop.org/fluid_properties/PurePseudoPure.html#list-of-fluids

One book frequently recommended is this one:
https://books.google.de/books?id=nfruCAAAQBAJ

I think one can read the introduction on Google Books.

That should be more than enough for a beginning, but you can of course ask more specialised questions later.

Matthis

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[Lomas Subedi]

Thank you very much Matthis. 
These are more than enough for beginning. It would be nice if I could find ph based texts. Any thank you again :)

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[Matthis Thorade]

The equation of state is always written with density and temperature as independent variables, because they are easy to measure and for historical reasons. If you want to define your state using p and h, then you will have to find d and T such that the p and h calculated from the EoS match the p and h you specified. In other words, you have a forward part f=f(d,T) which is more or less straihgt forward to implement, and then you need some root finding algorithms. The only way around that is to use tables and splines.

The good news is that CoolProp does all three, the EoS, the root finding and also tables+splines.

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Matthis Thorade
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