Industrial dry spinning processes: algorithmic for a two-phase fiber model in airflows

Autor: Manuel Wieland, Walter Arne, Nicole Marheineke, Raimund Wegener
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Journal of Mathematics in Industry, Vol 10, Iss 1, Pp 1-22 (2020)
Druh dokumentu: article
ISSN: 2190-5983
DOI: 10.1186/s13362-020-00076-2
Popis: Abstract The dry spinning of fibers can be described by three-dimensional multi-phase flow models that contain key effects like solvent evaporation and fiber-air interaction. Since the direct numerical simulation of the three-dimensional models is in general not possible, dimensionally reduced models are deduced. We recently developed a one-two-dimensional fiber model and presented a problem-tailored numerical solution strategy in Wieland et al. (J Comput Phys 384:326–348, 2019). However, in view of industrial setups with multiple fibers spun simultaneously the numerical schemes must be accelerated to achieve feasible simulation times. The bottleneck builds the computation of the radial concentration and temperature profiles as well as their cross-sectionally averaged values. In this paper we address this issue and develop efficient numerical algorithms.
Databáze: Directory of Open Access Journals
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