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Data collection. Gmehling began in the 1970s with the systematic evaluation of the scientific literature, aiming to build a data bank for vapor-liquid equilibria. These data were needed for the development of a new method for the prediction of activity coefficients named UNIFAC. This data bank is still named the Dortmund Data Bank. Dortmund Data Bank (DDB) Explorer Version The DDB Explorer Version is a stripped down – but still useful and completely free – basic version of DDB and DDBSP. It contains data for 30 components and their mixtures as well as the structure editor ARTIST and several estimation methods for pure component and mixture properties. Search This Blog Dortmund Mp3 Juli 26, 2020.

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Jürgen Gmehling (born January 13, 1946 in Duisburg) is a retired[1] German professor of technical and industrial chemistry at the Carl von Ossietzky University of Oldenburg.

Biography[edit]

His career started with an apprenticeship as a laboratory assistant at the Duisburg copper works[2] before he studied chemical engineering at the engineering school in Essen and then chemistry in Dortmund and Clausthal. He received his diploma from the University of Dortmund in 1970 and his PhD (Dr. rer. nat., inorganic chemistry) in 1973. After this he worked as a scientific coworker in Dortmund before he became a private lecturer and, after his habilitation, an assistant professor.

Gmehling was appointed a full professor for technical chemistry at the University of Oldenburg in 1989 and retired in 2011.

Fields of research[edit]

Gmehling's main focus is the process development. This includes the development of software for process synthesis and process simulation as well as measurement, collection, and estimation of thermophysical properties of pure components and component mixtures. The following list summarizes fields of his scientific work but is in no way complete.

Measurements[edit]

  • Phase equilibrium data (vapor-liquid equilibria,[3] liquid-liquid equilibria, solid–liquid equilibria,[4] gas solubilities, heats of mixing, activity coefficients[5] and more)

Data collection[edit]

Gmehling began in the 1970s with the systematic evaluation of the scientific literature, aiming to build a data bank for vapor-liquid equilibria. These data were needed for the development of a new method for the prediction of activity coefficients named UNIFAC. This data bank is still named the Dortmund Data Bank.[6]

Dortmund Data Bank Software Package free. download full

Development of estimation and correlation models[edit]

Gmehling developed with colleagues models for the estimation of several thermodynamic and thermophysical properties:

  • Activity coefficient models like UNIFAC[7][8] (see also group contribution method) and extensions. For the further development of these widely used methods Gmehling founded an industry consortium where many international companies are participating.
  • Equations of state (EOS)[9] including mixing rules for applying EOS to mixtures (see PSRK).

Software development[edit]

The following implementation of his methods are also developments:

Dortmund Data Bank Software Package Free Download Online

  • an expert system[10] for the entrainer selection for the azeotropic and extractive distillation

Awards[edit]

Dortmund Data Bank (DDB) Configuration

Gmehling has received some awards:

Dortmund Data Bank Software Package Free Download
  • Arnold-Eucken Price in 1982 [11]
  • The Rosini Lectureship Award in 2008 [12]
Rossini Lectureship Award; left: J.-P. E. Grolier; right: J. Gmehling
  • The Gmelin-Beilstein-Denkmünze (Silver Medal) in 2010[13]
  • The Emil Kirschbaum Medal in 2013 [14]

Publications[edit]

Gmehling has published scientific articles and books.

Selection of scientific articles[edit]

  1. ^http://www.presse.uni-oldenburg.de/mit/2011/181.html
  2. ^'Biography from DDBST company web site'. Retrieved 2017-06-27.
  3. ^Horstmann S., Fischer K., Gmehling J., 'Isothermal Vapor-Liquid Equilibrium and Excess Enthalpy Data for the Binary Systems Water + Sulfolane and Methanol + N-Methyl-2-pyrrolidone', J.Chem.Eng.Data, 49(6), 1499–1503, 2004
  4. ^Joh R., Kreutz J., Gmehling J., 'Measurement and Prediction of Ternary Solid–Liquid Equilibria', J.Chem.Eng.Data, 42(5), 886–889, 1997
  5. ^Gruber D., Topphoff M., Gmehling J., 'Measurement of activity coefficients at infinite dilution using gas-liquid chromatography. 8. Results for 22 solutes in tetraethylene glycol dimethyl ether and 18 solutes in triethylene glycol dibutyl ether at 303.15 K and 343.15 K', Eldata Int.Electron.J.Phys.-Chem.Data, 3, 215–224, 1997
  6. ^Gmehling J., Weidlich U., 'Die Dortmunder Datenbank. Basis für die Weiterentwicklung der UNIFAC-Methode', Chem.Ing.Tech., 57(5), 447–449, 1985
  7. ^Fredenslund Å., Gmehling J., Michelsen M.L., Rasmussen P., Prausnitz J.M., 'Computerized Design of Multicomponent Distillation Columns Using the UNIFAC Group Contribution Method for Calculation of Activity Coefficients', Ind.Eng.Chem. Process Des.Dev., 16(4), 450–462, 1977
  8. ^Weidlich U., Gmehling J., 'A Modified UNIFAC Model. 1. Prediction of VLE, hE, and gamma Infinite', Ind.Eng.Chem.Res., 26(7), 1372–1381, 1987
  9. ^Holderbaum T., Gmehling J., 'PSRK: A Group-Contribution Equation of State based on UNIFAC', Fluid Phase Equilib., 70, 251–265, 1991
  10. ^Möllmann C., Gmehling J., 'Auswahl selektiver Zusatzstoffe für die Rektifikation durch kombinierten Zugriff auf experimentelle und vorausberechnete Gleichgewichtsdaten', Chem.Ing.Tech., 69(3), 324–328, 1997
  11. ^'Biography from DDBST company web site'. Retrieved 2017-06-27.
  12. ^'Rossini Lectureship Award'. Retrieved 2017-06-27.
  13. ^'University web page'. Retrieved 2017-06-27.
  14. ^'ProcessNet web page'. Retrieved 2017-06-27.

External links[edit]

Retrieved from 'https://en.wikipedia.org/w/index.php?title=Jürgen_Gmehling&oldid=953762700'

DDBST has published an Explorer Version of its software and the Dortmund Data Bank. This DDB Explorer Version is a stripped down – but still useful demo version of the DDB and the DDB software package.

The Explorer Version contains data for 30 components and for the mixtures that can be build from these components. DDBST has decided to publish the experimental data from the Explorer Version directly on the Internet.

Data from eight data banks are available:

DatabankSetsPointsSourcesSystems
Pure Component Properties (Several Properties)318820352155630
Vapor-Liquid Equilibria124020706574516
(Binary Systems)
529529129200
Azeotropic Data892892506363
Solid-Liquid Equilibria (Systems Without Electrolytes)3714309169176
Excess Enthalpies63010731304275
Excess Heat Capacities, Heat Capacities16920877978
Excess Volumina, Densities of Mixtures79312212400329
Sum8398773595728815

* approximate number of data sets compared to the complete data bank.

In total, there are data for 815 systems available. Compared to the systems stored in the Dortmund Dabank this is only a very small fraction.

For most binary systems at least a single diagram with the standard representation of the property is available.

Compound

vi (cm3/mol)

ri

qi

Water

18.07

0.92

1.4

Chloroform

80.67

2.87

2.41

Methanol

40.73

1.4311

1.432

Acetic acid

57.54

2.2024

2.072

Ethanol

58.68

2.1055

1.972

Acetone

74.04

2.5735

2.336

1,4-Dioxane

85.71

3.1854

2.64

1-Butanol

91.96

3.4543

3.052

Benzene

89.41

3.1878

2.4

Aniline

91.53

3.7165

2.816

Cyclohexane

108.75

4.0464

3.24

n-Hexane

131.61

4.4998

3.856

Toluene

106.85

3.9228

2.968

n-Heptane

147.47

5.1742

4.396

Decane

195.92

7.1974

6.016

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