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Concept
Dortmund Data Bank
Résumé
The Dortmund Data Bank (short DDB) is a factual data bank for thermodynamic and thermophysical data. Its main usage is the data supply for process simulation where experimental data are the basis for the design, analysis, synthesis, and optimization of chemical processes. The DDB is used for fitting parameters for thermodynamic models like NRTL or UNIQUAC and for many different equations describing pure component properties, e.g., the Antoine equation for vapor pressures. The DDB is also used for the development and revision of predictive methods like UNIFAC and PSRK.
Phase equilibria data (vapor–liquid, liquid–liquid, solid–liquid), data on azeotropy and zeotropy
Mixing enthalpies
Gas solubilities
Activity coefficients at infinite dilution
Heat capacities and excess heat capacities
Volumes, densities, and excess volumes (volume effect of mixing)
Salt solubilities
Octanol-water partition coefficients
Critical data
The mixture data banks contain () approx. 308,000 data sets with 2,157,000 data points for 10,750 components building 84,870 different binary, ternary, and higher systems/combinations.
Saturated vapor pressures
Saturated densities
Viscosities
Thermal conductivities
Critical data (Tc, Pc, Vc)
Triple points
Melting points
Heat capacities
Heats of fusion, sublimation and vaporization
Heats of formation and combustion
Heats and temperatures of transitions for solids
Speed of sound
P-v-T data including virial coefficients
Energy functions
Enthalpies and entropies
Surface tensions
The pure component properties data bank contains () approx. 157,000 data sets with 1,080,000 data points for 16,700 different components.
Image:SFT-benzene.png|[[Surface tension]] of [[benzene]]
File:Dynamic Viscosity of Water.png|Dynamic [[viscosity]] of water
File:Verdampfungsenthalpie Wasser+Methanol+Benzol+Aceton.png|[[Heat of vaporization]] of water, [[methanol]], benzene, and [[acetone]]
The DDB is a collection of experimental data published by the original authors.
Source officielle
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