Optimization of Fiber Orientation Model Parameters in the Presence of Flow-Fiber Coupling

Tianyi Li (1) , Jean-François Luyé (1)

1 Promold

In this paper, we propose a novel systematic procedure to minimize the discrepancy between the numerically predicted and the experimentally measured fiber orientation results on an injection-molded part. Fiber orientation model parameters are optimized simultaneously using Latin hypercube sampling and kriging-based adaptive surrogate modeling techniques. Via an adequate discrepancy measure, the optimized solution possesses correct skin-shell-core structure and global orientation evolution throughout the considered center-gated disk. Some non-trivial interaction between these parameters and flow-fiber coupling effects as well as their quantitative importance are illustrated. The parametric fine-tuning of orientation models mostly leads to a better agreement in the skin and shell regions, while the coupling effect via a fiber-dependent viscosity improves prediction in the core.

Mots clés: fiber reinforced plastics; fiber orientation; flow-fiber coupling; surrogate modeling; parametric optimization; injection molding simulation

Domaines: Mécanique des fluides [physics.class-ph]; Optimisation et contrôle [math.OC]

Tianyi Li, Jean-François Luyé. Optimization of Fiber Orientation Model Parameters in the Presence of Flow-Fiber Coupling. Journal of Composites Science, 2018, 2 (4), pp.73. ⟨10.3390/jcs2040073⟩. ⟨hal-01959723⟩