Nov-05-2018, 03:04 PM
Hello every one.
is there any library that able to calculate integral interval of below formula (T2) for given Pratio, Nc, T1, Cp air, Cp H20, Xh20, Rair and Rh20?
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İmage](data:image/png;base64,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)
is there any library that able to calculate integral interval of below formula (T2) for given Pratio, Nc, T1, Cp air, Cp H20, Xh20, Rair and Rh20?