Search Results - Moch, S O~

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  1. 1

    Combined quadrature method of moments and method of characteristics approach for efficient solution of population balance models for dynamic modeling and crystal size distribution... by Erum Aamir, Zoltan Nagy, Chris Rielly, T. Kleinert

    Published 2009
    “…The approach, based on a combination of the quadrature method of moments (QMOM) and the method of characteristics (MOCH), provides a computationally efficient solution of the population balance equation (PBE) and hence a fast prediction of the dynamic evolution of the CSD for an entire batch. …”
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  2. 2

    Efficient crystal size distribution estimation approach for growth dominated crystallisation processes by Erum Aamir, Zoltan Nagy, Chris Rielly, T. Kleinert, B. Judat

    Published 2008
    “…The technique can serve as a soft sensor for predicting CSD or as a computationally efficient algorithm for off-line design or on-line adaptation of operating policies based on full CSD data.…”
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  3. 3

    Optimal seed recipe design for crystal size distribution control for batch cooling crystallisation processes by Erum Aamir, Zoltan Nagy, Chris Rielly

    Published 2010
    “…The population balance model is solved using a combined quadrature method of moments and method of characteristics (QMOM-MOCH) approach for the generic case of apparent size-dependent growth. …”
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  4. 4

    Population balance model-based optimal control of batch crystallisation processes for systematic crystal size distribution design by Erum Aamir

    Published 2010
    “…The technique can serve as a soft sensor for predicting the CSD, or as a computationally efficient algorithm for off-line design or on-line adaptation of operating policies based on knowledge of the full CSD data. …”
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