Product integration method for the simulation of radial effects in fiber melt spinning of semi‐crystalline polymers-Reference-Cited by-同舟云学术

Product integration method for the simulation of radial effects in fiber melt spinning of semi‐crystalline polymers

Published:2023-03 Issue:1 Volume:22 Page:
ISSN:1617-7061
Container-title:PAMM
language:en
Short-container-title:Proc Appl Math and Mech

Author:

Ettmüller Manuel¹,Arne Walter¹,Marheineke Nicole²,Wegener Raimund¹

Affiliation:

1. Fraunhofer Institut für Techno- und Wirtschaftsmathematik Fraunhofer Platz 1 D-67663 Kaiserslautern Germany

2. Universität Trier Lehrstuhl Modellierung und Numerik Universitätsring 15 D-54296 Trier Germany

Abstract

AbstractIn this work we consider the simulation of a mixed‐dimensional model for viscous fiber melt spinning of semi‐crystalline polymers including radial effects on the temperature and crystallinity. We present a suitable algorithm based on the product integration method and an analytical solution of the temperature advection‐diffusion equation. A numerical convergence and performance analysis confirms that our approach results in an accurate and efficient algorithm.

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/pamm.202200210

Reference7 articles.

1. M. Ettmüller W. Arne N. Marheineke and R. Wegener Journal of Non-Newtonian Fluid Mechanics 296 104636 (2021).

2. N. Marheineke R. Wegener International Journal of Multiphase Flow 37 136-148 (2011).

3. M. N. Özisik Dover Publications (2013).

4. D. Pan H. He J. Sun M. Cao Z. Qin L. Chen Journal of Applied Polymer Science 136 47175 (2019).

5. M. Wieland W. Arne R. Feßler N. Marheineke R. Wegener Journal of Computational Physics 384 326-348 (2019).

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Informed Machine Learning for Optimizing Melt Spinning Processes;2024 IEEE Conference on Artificial Intelligence (CAI);2024-06-25