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@Article { Dreyschultze2015,
   title = {Influence of zone formation on stability of continuous fluidized bed layering granulation with external product classification},
   journal = {Particuology},
   year = {2015},
   volume = {23},
   pages = {1 - 7},
   abstract = {Abstract Continuous fluidized bed layering granulation with external product classification and a sieve-mill cycle can show instability in the form of self-sustained nonlinear oscillations of the particle size distribution. In the present study, the stability and bifurcation analysis of this process is presented. The underlying process models explicitly account for compartmentalization of the fluidized bed into a granulation and a drying zone, which is an important feature of many technical processes. Implications for plant operations are discussed with the help of stability diagrams as a function of zone size, residence time within different zones, the addition of external seeds and particular properties of the sieve-mill cycle.},
   keywords = {Fluidized bed, Granulation, Population balance, Stability, Bifurcation},
   tags = {A3},
   web_url = {//www.sciencedirect.com/science/article/pii/S1674200115000863},
   ISSN = {1674-2001},
   DOI = {http://dx.doi.org/10.1016/j.partic.2015.02.004},
   author = {Dreyschultze, C. and Neugebauer, C. and Palis, S. and Bück, A. and Tsotsas, E. and Heinrich, S. and Kienle, A.}
}

@Article { Palis2015,
   title = {Auto-tuning Control Systems for Improved Operation of Continuous Fluidized Bed Spray Granulation Processes with External Product Classification},
   journal = {Procedia Engineering},
   year = {2015},
   volume = {102},
   pages = {133 - 141},
   abstract = {Abstract In this contribution control of continuous fluidized bed spray granulation processes with external product classification is studied. From a practical point of view control schemes being easy to implement and maintain using standard process control systems are preferable. Hence, the focus will be on standard {PI} control structures. In order to account for variations and uncertainties in the process an additional tuning procedure should be included. Here, an optimization based online controller adaptation scheme called iterative feedback tuning (ITF) will be investigated.},
   note = {New Paradigm of Particle Science and Technology Proceedings of The 7th World Congress on Particle Technology},
   keywords = {fluidized bed spray granulation, control, auto-tuning;},
   tags = {A3},
   web_url = {//www.sciencedirect.com/science/article/pii/S1877705815001162},
   ISSN = {1877-7058},
   DOI = {http://dx.doi.org/10.1016/j.proeng.2015.01.115},
   author = {Palis, Stefan and Dreyschultze, Christian and Neugebauer, Christoph and Kienle, Achim}
}

@Inproceedings { Palis,
   title = {A Methodology for Experimental Determination of Stability Boundaries with Application to Fluidized Bed Spray Granulation},
   number = {33},
   pages = {625—630},
   tags = {A3},
   editor = {J.J. Klemes and P.S. Varbanov and P. Yen Liew},
   booktitle = {Computer Aided Chemical Engineering, Bd. 33,},
   author = {Palis, S and Dreyschultze, C and Kienle, A}
}