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Efficient parameter identification for macroscopic fiber orientation models with experimental data and a mechanistic fiber simulation

Kugler S, Lambert GM, Cruz C, Kech A, Osswald TA, Baird DG (2020)

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Publication Type: Conference contribution

Publication year: 2020

Journal

Publisher: American Institute of Physics Inc.

Book Volume: 2205

Conference Proceedings Title: AIP Conference Proceedings

Event location: Cesme-Izmir

ISBN: 9780735419568

DOI: 10.1063/1.5142965

Abstract

Advanced macroscopic fiber orientation models depend on a variety of phenomenological parameters. The prediction quality is closely related to the choice of those parameters. Therefore, the aim of this research is to propose an efficient method for parameter identification. First, a macroscopic fiber orientation model for concentrated short fiber-reinforced polymers with a minimum number of parameters has to be identified. To define the macroscopic model a comparison with experimental data is used. A sliding-plate experiment with repeatable initial conditions is conducted for obtaining fiber orientation evolution under controlled shear and temperature conditions. Then the fiber orientation models are fitted to the experimental validation curve. Since the experimental curve generation for parameter fitting is time and cost consuming, a more efficient method is exploited: a mechanistic direct fiber simulation. The simulation can then be used to generate fiber orientation curves for varying physical descriptors (fiber length, fiber length distribution, volume fraction, viscosity, shear rate).

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How to cite

APA:

Kugler, S., Lambert, G.M., Cruz, C., Kech, A., Osswald, T.A., & Baird, D.G. (2020). Efficient parameter identification for macroscopic fiber orientation models with experimental data and a mechanistic fiber simulation. In Fevzi Cakmak Cebeci, Yusuf Z. Menceloglu, Serkan Unal, Yakup Ulcer (Eds.), AIP Conference Proceedings. Cesme-Izmir, TR: American Institute of Physics Inc..

MLA:

Kugler, Susanne, et al. "Efficient parameter identification for macroscopic fiber orientation models with experimental data and a mechanistic fiber simulation." Proceedings of the 35th International Conference of the Polymer Processing Society, PPS 2019, Cesme-Izmir Ed. Fevzi Cakmak Cebeci, Yusuf Z. Menceloglu, Serkan Unal, Yakup Ulcer, American Institute of Physics Inc., 2020.

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