Abstract
A powerful software package for the data handling, correlation, property estimation and process synthesis turns our products into most valuable tools for chemical and process engineers, for industrial chemists and many other specialists working in the gas, oil and chemical processing, pharmaceutical and food production, in environmental. 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. Dortmund Data Bank Software & Separation Technology, DDBST GmbH, Oldenburg 2016. Extremely cost-effective and efficient solar vapor generation under nonconcentrated illumination.
The Dortmund Data Bank (DDB) was started in 1973 with the intention to employ the vast store of vapor-liquid equilibrium (VLE) data from the literature for the development of models for the prediction of VLE. From the beginning, the structure of the DDB has been organized in such a way that it was possible to take advantage of the full potential of electronic computers. With the experience gained in fitting and processing VLE data, we extended the DDB system to other types of mixture properties, i.e., liquid-liquid equilibria (LLE), gas solubilities (GLE), activity coefficients at infinite dilution γ∞, heats of mixing (hE), and excess heat capacities. Besides the files for mixture properties, the DDB contains pure-component data and program packages for various applications. New experimental data are checked for consistency before they are stored. For data retrieval user-specified search masks can be used. The data files are available via an online data service and through the Dechema Chemistry Data Series. For the purpose of data correlation and model testing, parameter fitting is performed with an optimization routine (Nelder-Mead). In the past years the DDB system has been successfully employed for the development of prediction methods for VLE, LLE, GLE, γ∞, and hE (UNIFAC, mod. UNIFAC, etc.).
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Dortmund Data Bank (DDB) - DDBST GmbH
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