Property Data Bases

Computerized High Temperature Materials Properties Data-base Purdue University Purdue University (CINDAS) compiled from Hterature and evaluated reference data for high temperature materials... 

References are noted throughout the book for further information. Particular attention is given to Web site sources where detailed equipment design information and chemical property data bases exist. 

Equilibrium data correlations can be extremely complex, especially when related to non-ideal multicomponent mixtures, and in order to handle such real life complex simulations, a commercial dynamic simulator with access to a physical property data-base often becomes essential. The approach in this text, is based, however, on the basic concepts of ideal behaviour, as expressed by Henry s law for gas absorption, the use of constant relative volatility values for distillation and constant distribution coeficients for solvent extraction. These have the advantage that they normally enable an explicit method of solution and avoid the more cumbersome iterative types of procedure, which would otherwise be required. Simulation examples in which more complex forms of equilibria are employed are STEAM and BUBBLE. 

After reviewing the health effects and chemical/physical property data bases, EPA has tentatively selected about 40 additional organic compounds for inclusion in the Toxicity Characteristic at this time (Tab. 1). EPA anticipates that the list of toxicants to be included in the Toxicity Characteristic will be periodically expanded as more information regarding additional compounds is developed. 

Electrochemical engineering Opportunities for improving the productivity from the U.S. investment in basic electrochemical research are described in areas of porous electrodes and extended interfacial regions, surface creation and destruction phenomena, process analysis and optimization, process invention, and the physical property data base. 

PHYSPROP (Physical/chemical property data base). Syracuse research Corporation, SRC En-... 

The problem of solvent selection is relatively complex and a thorough treatment requires considerable information. In addition to basic liquid-liquid equilibrium data, knowledge of the phase densities, viscosities, and the liquid-liquid interfacial tension is also important. Moreover, the economics of IXE systems are often dominated by the solvent regeneration costs. If, for example, solvent regeneration b to be accomplished by extractive or azeotropic distillation, then vapor-liquM equilibrinm data for the ternary system must also be available. Insofar as the most interesting LLE systems ate often ffiose whidi are least ideal, the generation of a physical property data base to complete cost analysis is usually a sigruficant problem. 

MAT.DB (Materials Property Data Base, ASM International, Metals Park, OH). Commercially updated available materials properties database developed for users interested in building their own database as well as for those who simply want access to precompiled databases. Provides flexible format for structuring diverse data types into one unified systems. Format accommodates plastics, metals, composites, wood. 

Physical Properties Data Base STRUCT, NUM 13000 MS Windows... 

ISIS Base Physical Properties Data Base includes melting point, boiling point, water solubility, vapor pressure, dissociation constant, octanol/water partition coefficient, and Henry s law constant as well as chemical structures of approximately 130p0 substances. 

While current assumptions appear to be reasonable, additional soils data are being collected around the K-Reactor and Cooling Water Basin to provide a more complete in-situ property data base to confirm that soil property assumptions made for the soil structure interaction calculations are appropriate. 

Our laboratory in cooperation with several national and international academic and industrial partners is contributing to these efforts by the establishment of various dedicated characterization techniques (like activity coefficient measurements using GC technology) as well as determination of thermodynamic and physicochemical properties from a continuously growing portfolio of (functionalized) ionic liquids. Based on the received property data we published several papers related to the adjacent prediction of properties (like molar enthalpy of vaporization, parachor, interstice volume, interstice fractions, thermal expansion coefficient, standard entropy etc.). Additionally our laboratory created and launched a new most comprehensive Ionic Liquid property data base—delph-IL.(www.delphil.net). This fast growing collections of IL data will supvport researchers in the field to find and evaluate potential materials for their applications and hence decrease the time for new developments. 

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