Please use this identifier to cite or link to this item:
Publication type: Conference paper
Type of review: Peer review (abstract)
Title: Performance prediction and optimization for industrial sieves by simulation : a two-tier approach
Authors: Jaeger, Christian
Housseini, Reza
Hertwig, Manfred
Hofer, Thomas
Füchslin, Rudolf Marcel
DOI: 10.21256/zhaw-1653
Proceedings: ASIM 2014: 22. Symposium Simulationstechnik: 3. bis 5. September 2014: HTW Berlin: 2, Tagungsband: Teil II
Editors of the parent work: Deatcu, Christina
Wittman, Jochen
Pages: 299
Pages to: 306
Conference details: 22. Symposium Simulationstechnik (ASIM 2014), Berlin, Deutschland, 3.-5. September 2014
Issue Date: 2014
Series: ARGESIM Report
Series volume: 43
Publisher / Ed. Institution: Argesim
Publisher / Ed. Institution: Wien
ISBN: 978-3-901608-44-5
Language: English
Subject (DDC): 003: Systems
620: Engineering
Abstract: We present a numerical study of sieving behavior on industrial sieves, composed of several vibrating screens, a process widely used in diverse industries. The modeling approach is twofold: on the one hand, particle flow is modeled in some detail by means of a discrete element model (DEM). This allows studying the influence of various parameters on the behavior of individual particles, particularly transport velocities and collision rates. Computational complexity however forbids the simulation of an entire sieve as a DEM. Instead, the overall sieving behavior is modeled separately by means of a more phenomenological model, the so called thick layer model (TLM), which is based on mass-balance equations, that translate into an ordinary differential equation. The TLM obtains its most crucial input parameters as results of the DEM. Comparison of simulation results with measurements shows, that this combined approach is capable of accurately describing the sieving process at a reasonable computational cost.
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Applied Mathematics and Physics (IAMP)
Appears in Collections:Publikationen School of Engineering

Files in This Item:
File Description SizeFormat 
2014_Jaeger_Performance prediction and optimization_Tagungsband ASIM.pdf742.05 kBAdobe PDFThumbnail

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.