multi-dimensional and correlative characterization of particles - central service project

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The quantification of separation processes is strongly connected to the availability of distinguishable distributed particle properties. The three-dimensional correlative characterization is the key for a sufficiently detailed description of multidimensional property distributions (e.g. size, morphology).The analytical central project creates discrete particle-datasets in different measuring ranges starting from the lower micro- to the lower nanometer-range, which is a fundamental requirement for the quantification of multidimensional particle properties. Here, the focus is on the development of particle preparation methods, on the enhancement of image based multi-dimensional characterization methods and on the reasonable connection with lower dimensional supplementary analysis methods. The collaboration within the priority program bases on these fundamental datasets resulting in the development of particle and microstructure models. The requirements concerning characterization during the first project phase resulting from projects in all project areas can be categorized into two different main groups: (1) particles that participate as primary particle in the separation process and (2) particles, which are interacting as part of a larger structure (agglomerate). Algorithms and methods from the first project phase will be used for the service measurements. Additionally, tailored measurements offer the chance to expand and supplement these methods. The network approach of the central project within the priority program allows to analyze a variety of particle samples and so it is able to give a complete picture of relevant tasks in separation processes. The particular opportunity is to connect the discrete particle-datasets (metadata) holistically with experimental parameters (from the separation process), measurement and analysis parameters (e.g. image processing). The resulting database of real and virtual discrete particle data (based on the model parameters) will be made available to the international scientific community during and also after the end of the priority program.