Zobrazeno 1 - 10
of 153
pro vyhledávání: '"Raimund Wegener"'
Autor:
Dario Antweiler, Marc Harmening, Nicole Marheineke, Andre Schmeißer, Raimund Wegener, Pascal Welke
Publikováno v:
Machine Learning with Applications, Vol 8, Iss , Pp 100288- (2022)
Nonwoven materials consist of random fiber structures. They are essential to diverse application areas such as clothing, insulation and filtering. A long term goal in industry is the simulation-based optimization of material properties in dependence
Externí odkaz:
https://doaj.org/article/bc7b090cbfa44dbd9139cbd3f1f28db2
Publikováno v:
Journal of Mathematics in Industry, Vol 10, Iss 1, Pp 1-22 (2020)
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
Externí odkaz:
https://doaj.org/article/ddc5ce0106a8490bacc84b75b69f131c
Publikováno v:
Results in Applied Mathematics, Vol 3, Iss , Pp - (2019)
Dry spinning is characterized by the simultaneous production of multiple thin polymeric fibers in airflows and the evaporation of the solvent contained in these fibers. This involves fiber-air interactions as well as radial diffusion effects over the
Externí odkaz:
https://doaj.org/article/0d1feb6d80404edbb1248e783cd94bd6
Publikováno v:
PAMM. 22
Publikováno v:
Asymptotic Analysis. 120:103-121
This paper deals with the relation of the dynamic elastic Cosserat rod model and the Kirchhoff beam equations. We show that the Kirchhoff beam without angular inertia is the asymptotic limit of the Cosserat rod, as the slenderness parameter (ratio be
Publikováno v:
Mathematics in Industry ISBN: 9783031118173
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb181786f2ca2aefa410d4b14e902181
https://doi.org/10.1007/978-3-031-11818-0_17
https://doi.org/10.1007/978-3-031-11818-0_17
Publikováno v:
PAMM. 21
Autor:
Dario Antweiler, Marc Harmening, Nicole Marheineke, Andre Schmeißer, Raimund Wegener, Pascal Welke
Publikováno v:
Software Impacts. 14:100423
Nonwoven fiber materials are omnipresent in diverse applications including insulation, clothing and filtering. Simulation of material properties from production parameters is an industry goal but a challenging task. We developed a machine learning ba
For flow-enhanced crystallization in fiber spinning, the viscoelastic two-phase fiber models by Doufas et al. (J. Non-Newton. Fluid Mech., 2000) and Shrikhande et al. (J. Appl. Polym. Sci., 2006) are state of the art. However, the boundary conditions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7874865251ab388105a755d7fc10e54
http://arxiv.org/abs/2106.07525
http://arxiv.org/abs/2106.07525
Publikováno v:
ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik. 101
In this paper, we propose a model-simulation framework for virtual tensile strength tests of random fiber structures, as they appear in nonwoven materials. The focus is on the efficient handling with respect to the problem-inherent multi-scales and r