% % This file was created by the TYPO3 extension % bib % --- Timezone: CET % Creation date: 2021-02-12 % Creation time: 13-03-24 % --- Number of references % 10 % @Article { Eisenschmidt2017, title = {Estimation of aggregation kernels based on {L}aurent polynomial approximation}, journal = {Computers & Chemical Engineering}, year = {2017}, author = {Eisenschmidt, H. and Soumaya, M. and Bajcinca, N. and {Le Borne}, S. and Sundmacher, K.} } @Article { LeBorne2016a, title = {Image-based analytical crystal shape computation exemplified for potassium dihydrogen phosphate {(KDP)}.}, journal = {Chemical Engineering Science}, year = {2016}, volume = {139}, pages = {61-74}, DOI = {10.1016/j.ces.2015.09.020}, author = {{Le Borne}, S. and Eisenschmidt, H. and Sundmacher, K.} } @Article { Temmel2016, title = {A short-cut-method for the quantification of crystallization kinetics - {P}art 1: {M}ethod development}, journal = {Crystal Growth & Design}, year = {2016}, note = {in press, DOI: 10.1021/acs.cgd.6b00787}, DOI = {10.1021/acs.cgd.6b00787}, author = {Temmel, E. and Eisenschmidt, H. and Sundmacher, K. and Lorenz, H. and Seidel-Morgenstern, A.} } @Article { Kruggel-Emden2014, title = {Modeling of Screening Processes Involving Non-Spherical Particles}, journal = {Chemical Engineering & Technology}, year = {2014}, volume = {37}, number = {5}, pages = {847–856}, abstract = {henomena related to sieving of non-spherical particles are investigated numerically in two batch apparatuses and on a horizontally aligned continuous sieve by particle-based simulation approaches in the framework of the discrete element method. The feed material is approximated by complex-shaped particles composed of clustered spheres. Comparisons are made with regard to the passage through the screen as well as the segregation and transportation on the screen. Results for passage are compared to data from literature, where simulations with spherical particles were performed of a laboratory-scale sieve operated with nonspherical quarry rock particles. Additionally, variations in screen inclination are investigated. Experimental results are matched by the simulations. A distinctive influence of particle shape on flow rates and residence times is identified.}, keywords = {Discrete element method, Non-spherical particles, Sieving, Simulation}, DOI = {10.1002/ceat.201300649}, author = {Kruggel-Emden, Harald and Elskamp, Frederik} } @Article { Borchert2014, title = {Image-based in situ identification of face specific crystal growth rates from crystal populations}, journal = {Crystal Growth & Design}, year = {2014}, volume = {14}, number = {3}, pages = {952-971}, web_url = {http://dx.doi.org/10.1021/cg401098x}, DOI = {10.1021/cg401098x}, author = {Borchert, C. and Temmel, E. and Eisenschmidt, H. and Lorenz, H. and Seidel-Morgenstern, A. and Sundmacher, K.} } @Article { Elskamp2014, title = {Review and benchmarking of process models for batch screening based on discrete element simulations}, journal = {Advanced Powder Technology}, year = {2014}, abstract = {In the recent past detailed particle-based simulation approaches such as the discrete element method (DEM) have become popular in addition to phenomenological models for the design and optimization of operating parameters of screening processes. As phenomenological process models, a large number of probabilistic and kinetic approaches of differing complexity are available which mostly provide information on the screening rate or efficiency. So far a review and comparative benchmarking of the various available screening process models has not been performed, although they are of high relevance, especially in industrial applications, due to their simplicity and easy use. To perform the benchmarking of batch screening process models, it is not relied on experimental investigations, but on detailed DEM-simulations involving both spherical and non-spherical particles in the investigation here. The DEM-simulations allow examining different particle characteristics such as size, shape, friction, as well as overall mass and size distribution. In addition, screen characteristics such as screen dimensions and surface as well as operational parameters including vibration frequency, stroke angle and amplitude are considered. On the basis of the DEM-simulations screening efficiencies are obtained which allow the adjustment and thereon benchmarking of the process models through parameters such as the residual particle mass on the screen.}, keywords = {Batch screening; Discrete element method (DEM); Arbitrary shaped particles; Process models}, state = {accepted}, DOI = {10.1016/j.apt.2014.11.001}, author = {Elskamp, Frederik and Kruggel-Emden, Harald} } @Misc { Elskamp2014a, title = {A comparative study of phenomenological screening process models based on discrete element simulations}, year = {2014}, abstract = {For the design of screening processes detailed particle-based simulation approaches such as the discrete element method and various simpler phenomenological models are available. Among the latter, different probabilistic and kinetic models have been proposed and further extended. So far a benchmarking of the various available screening process models has not been performed. Therefore, a selection of screening process models is reviewed and benchmarked numerically by using detailed discrete element simulations of batch screening processes involving spherical and complex shaped particles in this investigation. Different particle characteristics such as size, shape, as well as overall mass are examined. In addition operational parameters including vibration frequency, stroke angle and amplitude are considered. The comparison is performed based on the stratification ability and parameters like the screening efficiency which are calculated over time. This comparative study will form the basis for the extension ofphenomenological models to represent dynamic processes during batch screening.}, keywords = {Screening; Discrete element method; Complex shaped particles; Process models}, howpublished = {7th World Congress on Particle Technology}, event_place = {Beijing}, event_name = {7th World Congress on Particle Technology}, event_date = {2014}, author = {Elskamp, Frederik and Kruggel-Emden, Harald and Komossa, Hendrik and Scherer, Victor and Hennig, Manuel and Teipel, Ulrich} } @Misc { Hennig2014, title = {Dynamisch-physikalische Modellierung von Siebklassierprozessen}, year = {2014}, abstract = {Das dynamische Verhalten des Trenngrades von Schwingsieben bei Änderung des Massenstroms und der Partikelgrößenverteilung des Aufgabeguts wird untersucht. Auf der Basis vorhandener Modelle für den statischen Betrieb soll das dynamische Verhalten anhand der zeitabhängigen Trennfunktion analysiert werden. Hierfür werden im Rahmen zweier DFG-Teilprojekte des SPP 1679 „Dynamische Simulation vernetzter Feststoffprozesse“ zwei sich ergänzende Ansätze verfolgt. An der Technischen Hochschule Nürnberg wird die Partikelbewegung auf dem Siebboden untersucht. Hierzu wird den Einzelpartikeln mithilfe einer Hochgeschwindigkeitskamera eine Bahnkurve zugeordnet und der Einfluss der Eingangsparameter auf die Trennfunktion analysiert. Für die Parameterstudie wird ein Kreisschwingsieb eingesetzt. Der dynamische Einfluss bei sprungartiger und linearer Änderung des Massenstroms und der Dispersitätseigenschaften im Aufgabegut wird analysiert. In Kombination wird ein kinetisches oder wahrscheinlichkeitstheoretisches Modell für den dynamischen Betrieb ermittelt. An der Ruhr-Universität Bochum wird parallel die Modellierung der Siebklassierung mittels DEM durchgeführt. Wichtig ist die Parametervalidierungmittels realer Partikelbewegung und Trennfunktionen. Mithilfe von DEM-Simulationen sind Parameterstudien für Materialien mit unterschiedlichen Dispersitätseigenschaften möglich.}, howpublished = {DECHEMA-Jahrestagung}, event_place = {Aachen, Deutschland}, event_name = {DECHEMA-Jahrestagung}, event_date = {2014}, DOI = {10.1002/cite.201450646}, author = {Hennig, Manuel and Elskamp, Frederik and Kruggel-Emden, Harald and Teipel, Ulrich} } @Misc { Kruggel-Emden2014a, title = {Numerical Investigation of a Continuous Screening Process by the Discrete Element Method,}, year = {2014}, abstract = {Continuous screening processes are of high relevance in industrial applications in case that a bulk solid isseparated based on particle sizes. Besides experimental investigations, process models or discrete element simulations can be applied for the numerical modeling of screening. In the investigation here a sensitivity analysis is performed for varying amplitudes, frequencies, stroke angles and feed rates of a continuous lab scale screening process. Thereby, a selection of representative particle shapes is considered and its influence on the throughput is analyzed.}, keywords = {Continuous screening; Discrete element method; Complex shaped particles}, howpublished = {12th International Conference of Numerical Analysis and Applied Mathematics}, event_place = {Rhodos, Griechenland}, event_name = {12th International Conference of Numerical Analysis and Applied Mathematics}, event_date = {2014}, author = {Kruggel-Emden, Harald and Elskamp, Frederik} } @Misc { Kruggel-Emden2013, title = {Modeling Real Granular Screening Processes of Non-Spherical Particles}, year = {2013}, abstract = {Sieving of complex shaped particles is investigated numerically in a batch and a horizontally aligned continuous sieving apparatus by discrete element simulations. The feed material is approximated by complex shaped particles composed of clustered spheres. Comparisons are made with regard to the passage through the screen. Results are compared to data from literature, where simulations of spherical particles were performed.}, keywords = {Simulation, Sieving, Discrete Element Method, Complex shaped particles}, howpublished = {13th European Symposium on Comminution & Classification ESCC}, event_place = {Braunschweig}, event_name = {13th European Symposium on Comminution & Classification ESCC}, event_date = {2013}, author = {Kruggel-Emden, Harald and Elskamp, Frederik} }