456866 Designing an Extraterrestrial Submarine for Titan. III. Estimating Titan Sea Mixture Properties
This presentation presents an analytical solubility model fit to over 2,000 methane/ethane/nitrogen vapor/liquid equilibrium (VLE) data points. Data is first fit to the following proposed functional form:
x = p*exp((a0 + a1T + a2T2) + (b0 + b1T + b2T2)p*), p* = (P – P0)/(1 MPa).
where x is the mole fraction solubility of nitrogen in either methane or ethane in units of moles/moles, is the vapor pressure of the pure liquid solvent at the given temperature , is the pressure, and and are the coefficients to be fitted. For bi = 0, the solubility equation reduces to Henry’s Law. Next, parity plots are shown to illustrate the goodness of the fit of the solubility models. Then, solubility models are used to estimate dissolved GN2 in two mixtures which bound the Titan sea liquid ethane/liquid methane concentrations. Since the solubility model only specifies a value at the sea/atmosphere interface, two models are used to estimate the amount of dissolved GN2 as a function of depth. One method assumes the surface solubility value is constant throughout, while the second method assumes a new solubility value at each depth, corresponding to an increased pressure. Finally, the solubility values at each depth are fed into REFPROP, using a detailed equation of state, to estimate relevant thermodynamic properties, such as viscosity, speed of sound, and dielectric constant. While a wide variety of effects could occur in the Titan seas, complexities such as freezing are for the time being ignored, and properties are estimated by assuming constant enthalpy at each depth. Mixture properties can then be used as inputs into much more complex modeling later, such as the ballast tank system and effervescence models.
This work was funded through the NASA Innovative Advanced Concepts (NIAC) Phase 2 Titan Submarine Project.
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