Theoretical/Experimental Examination of New Physical        Constraints for Fluid Mixture EOS/MCR
{'Code': '07020000', 'Directorate': {'Abbreviation': 'ENG', 'LongName': 'Directorate For Engineering'}, 'Division': {'Abbreviation': 'CBET', 'LongName': 'Div Of Chem, Bioeng, Env, & Transp Sys'}}
{'SignBlockName': 'Jeffrey Foltz', 'PO_EMAI': 'jfoltz@nsf.gov', 'PO_PHON': '7032924231'}
This project involves two components:  (1) a new theoretical approach           to multiphase equilibria predictions and (2) a new experimental                 technique for their measurement.  The first portion uses collinearity           constraints and optimum tuning at extreme loci to increase the                  physical reality of equation of state (EOS)/mixture combining rules             (MCR) prediction models.  The second part of the proposal uses the              microwave cavity method for accurate dew and bubble point curve                 location (to plus or minus 0.1 degree Celsius and plus or minus 0.1             atm), plus the more traditional Burnett-Isochoric density                       measurements.  The improvement of the tangent plane method via new              algorithms for minimization of the Gibbs energy for multicomponent              systems is an important related objective of this project.                                                                                                      Both the theoretical and experimental work in this project are                  significantly different from anything studied before.  The                      collinearity constraints have not been used previously to determine             which EOS/MCR combinations are thermodynamically consistent.  To date,          EOS/MCR computer programs, the backbone of industrial vapor-liquid              equilibria predictions, have been based largely on empiricism; this             project is the first attempt in the past thirty years to interject              physical constraints into this field.  While it is difficult to                 forecast the results, they are likely to change the face of how                 multiphase predictions at elevated pressure are made by                         oil/gas/chemical companies.  One of the strengths of the project is             its ability to eliminate particular EOS and MCR as thermodynamically            inconsistent and thereby discard proposed research initiatives.  More           positively, the collinearity constraints can act as an overseer to              guide one along prediction paths, which while partly empirical, are,            at least, thermodynamically consistent.
{'FirstName': 'Philip', 'LastName': 'Eubank', 'PI_MID_INIT': 'T', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Philip T Eubank', 'EmailAddress': 'p-eubank@tamu.edu', 'NSF_ID': '000293893', 'StartDate': '01/01/1988', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Texas A&M Research Foundation', 'CityName': 'COLLEGE STATION', 'ZipCode': '778454375', 'PhoneNumber': '9798626777', 'StreetAddress': '400 HARVEY MITCHELL PKWY S STE 3', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'Texas', 'StateCode': 'TX', 'CONGRESSDISTRICT': '10', 'CONGRESS_DISTRICT_ORG': 'TX10', 'ORG_UEI_NUM': 'EQH8NQ4AXFT7', 'ORG_LGL_BUS_NAME': 'TEXAS A & M RESEARCH FOUNDATION', 'ORG_PRNT_UEI_NUM': None}
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{'Code': '141400', 'Text': 'INTERFAC PROCESSES & THERMODYN'}
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