Fluid-fiber-interactions in rotational spinning process of glass wool production
26 pages
English

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Fluid-fiber-interactions in rotational spinning process of glass wool production

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26 pages
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The optimal design of rotational production processes for glass wool manufacturing poses severe computational challenges to mathematicians, natural scientists and engineers. In this paper we focus exclusively on the spinning regime where thousands of viscous thermal glass jets are formed by fast air streams. Homogeneity and slenderness of the spun fibers are the quality features of the final fabric. Their prediction requires the computation of the fluid-fiber-interactions which involves the solving of a complex three-dimensional multiphase problem with appropriate interface conditions. But this is practically impossible due to the needed high resolution and adaptive grid refinement. Therefore, we propose an asymptotic coupling concept. Treating the glass jets as viscous thermal Cosserat rods, we tackle the multiscale problem by help of momentum (drag) and heat exchange models that are derived on basis of slender-body theory and homogenization. A weak iterative coupling algorithm that is based on the combination of commercial software and self-implemented code for flow and rod solvers, respectively, makes then the simulation of the industrial process possible. For the boundary value problem of the rod we particularly suggest an adapted collocation-continuation method. Consequently, this work establishes a promising basis for future optimization strategies. MSC-Classification . 76-xx, 34B08, 41A60, 65L10, 65Z05

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Publié le 01 janvier 2011
Nombre de lectures 4
Langue English

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Journal of Mathematics in Industry (2011) 1:2 DOI10.1186/2190-5983-1-2 R E S E R A C H
Open Access
Fluid-fiber-interactions in rotational spinning process of glass wool production
Walter ArneNicole MarheinekeJohannes SchnebeleRaimund Wegener
Received: 9 December 2010 / Accepted: 3 June 2011 / Published online: 3 June 2011 © 2011 Arne et al.; licensee Springer. This is an Open Access article distributed under the terms of the Creative Commons Attribution License
AbstractThe optimal design of rotational production processes for glass wool man-ufacturing poses severe computational challenges to mathematicians, natural scien-tists and engineers. In this paper we focus exclusively on the spinning regime where thousands of viscous thermal glass jets are formed by fast air streams. Homogeneity and slenderness of the spun fibers are the quality features of the final fabric. Their prediction requires the computation of the fluid-fiber-interactions which involves the solving of a complex three-dimensional multiphase problem with appropriate inter-face conditions. But this is practically impossible due to the needed high resolution and adaptive grid refinement. Therefore, we propose an asymptotic coupling concept. Treating the glass jets as viscous thermal Cosserat rods, we tackle the multiscale prob-lem by help of momentum (drag) and heat exchange models that are derived on basis of slender-body theory and homogenization. A weak iterative coupling algorithm that is based on the combination of commercial software and self-implemented code for
W ArneJ SchnebeleR Wegener Fraunhofer Institut für Techno- und Wirtschaftsmathematik, Fraunhofer Platz 1, D-67663 Kaiserslautern, Germany J Schnebele e-mail:johannes.schnebele@itwm.fraunhofer.de R Wegener e-mail:raimund.wegener@itwm.fraunhofer.de
W Arne Fachbereich Mathematik und Naturwissenschaften, Universität Kassel, Heinrich Plett Str. 40, D-34132 Kassel, Germany e-mail:arne@mathematik.uni-kassel.de
N Marheineke () FAU Erlangen-Nürnberg, Lehrstuhl Angewandte Mathematik 1, Martensstr. 3, D-91058 Erlangen, Germany e-mail:marheineke@am.uni-erlangen.de
Page 2 of 26Arne et al. flow and rod solvers, respectively, makes then the simulation of the industrial pro-cess possible. For the boundary value problem of the rod we particularly suggest an adapted collocation-continuation method. Consequently, this work establishes a promising basis for future optimization strategies.
KeywordsRotational spinning processviscous thermal jetsfluid-fiber interactionstwo-way couplingslender-body theoryCosserat rodsdrag modelsboundary value problemcontinuation method
Mathematics Subject Classification76-xx34B0841A6065L1065Z05
1 Introduction
Glass wool manufacturing requires a rigorous understanding of the rotational spin-ning of viscous thermal jets exposed to aerodynamic forces. Rotational spinning pro-cesses consist in general of two regimes: melting and spinning. The plant of our industrial partner, Woltz GmbH in Wertheim, is illustrated in Figures1and2. Glass is heated upto temperatures of 1,050°C in a stove from which the melt is led to a centrifugal disk. The walls of the disk are perforated by 35 rows over height with 770 equidistantly placed small holes per row. Emerging from the rotating diskvia continuous extrusion, the liquid jets grow and move due to viscosity, surface tension, gravity and aerodynamic forces. There are in particular two different air flows that interact with the arising glass fiber curtain: a downwards-directed hot burner flow of 1,500°C that keeps the jets near the nozzles warm and thus extremely viscous and shapeable as well as a highly turbulent cross-stream of 30°C that stretches and fi-nally cools them down such that the glass fibers become hardened. Laying down onto a conveyor belt they yield the basic fabric for the final glass wool product. For the quality assessment of the fabrics the properties of the single spun fibers, that is, ho-mogeneity and slenderness, play an important role. A long-term objective in industry is the optimal design of the manufacturing process with respect to desired product specifications and low production costs. Therefore, it is necessary to model, simulate and control the whole process.
Fig. 1Rotational spinning process of the company Woltz GmbH, sketch of set-up. Several glass jets forming part of the row-wise arising fiber curtains are shown in the left part of the disc, they are plotted as black curves. The color map visualizes the axial velocity of the air flow. For temperature details see Figure2.
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