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  • 1.
    Gruhn, Günter
    et al.
    TU Hamburg-Harburg.
    Rosenkranz, Jan
    Werter, Joachim
    TU Hamburg-Harburg.
    Toebermann, J.-Christian
    TU Hamburg-Harburg.
    Development of an object-oriented simulation system for complex solids processes1997In: Computers and Chemical Engineering, ISSN 0098-1354, E-ISSN 1873-4375, Vol. 21, p. S187-S192Article in journal (Refereed)
    Abstract [en]

    This contribution focuses on the development of SolidSim, an object-oriented, sequential-modular simulator adopted to the special requirements of steady-state solids processes. The conceptual design of the program system and implementational issues concerning process streams and unit operation models are outlined. Results from first test runs for different solids processes are presented.

  • 2. Sand, Anders
    et al.
    Nopola, Tuija
    Åbo Akademi.
    Hjelt, Tuomo
    KCL.
    Toivakka, Martti
    Åbo Akademi.
    A particle motion model for the study of consolidation phenomena2009In: Computers and Chemical Engineering, ISSN 0098-1354, E-ISSN 1873-4375, Vol. 33, no 7, p. 1227-1239Article in journal (Refereed)
  • 3.
    Spooner, Max
    et al.
    DTU Compute, Technical University of Denmark, Kgs. Lyngby, Denmark. DTU Compute, Asmussens Alle 322, 2800 Kgs. Lyngby, Denmark.
    Kold, David
    Chr. Hansen A/S, Hvidovre.
    Kulahci, Murat
    Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering. DTU Compute, Technical University of Denmark, Kgs. Lyngby, Denmark.
    Harvest time prediction for batch processes2018In: Computers and Chemical Engineering, ISSN 0098-1354, E-ISSN 1873-4375, Vol. 117, p. 32-41Article in journal (Refereed)
    Abstract [en]

    Batch processes usually exhibit variation in the time at which individual batches are stopped (referred to as the harvest time). Harvest time is based on the occurrence of some criterion and there may be great uncertainty as to when this criterion will be satisfied. This uncertainty increases the difficulty of scheduling downstream operations and results in fewer completed batches per day. A real case study is presented of a bacteria fermentation process. We consider the problem of predicting the harvest time of a batch in advance to reduce variation and improving batch quality. Lasso regression is used to obtain an interpretable model for predicting the harvest time at an early stage in the batch. A novel method for updating the harvest time predictions as a batch progresses is presented, based on information obtained from online alignment using dynamic time warping.

  • 4.
    Toebermann, J.-Christian
    et al.
    TU Hamburg-Harburg.
    Rosenkranz, Jan
    Werther, Joachim
    TU Hamburg-Harburg.
    Gruhn, Günter
    TU Hamburg-Harburg.
    Block-oriented process simulation of solids processes2000In: Computers and Chemical Engineering, ISSN 0098-1354, E-ISSN 1873-4375, Vol. 23, no 11-12, p. 1773-1782Article in journal (Refereed)
    Abstract [en]

    A block-oriented process simulation system has been developed for solids processing applications. The specific requirements which have to be fulfilled for the description of processes with particulate solids are outlined and their implications for design and implementation of a simulator are discussed. The prototype simulator SolidSim is presented and its features are demonstrated by soil-washing and gravel processing applications.

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