A model is presented which can be used to predict the flow under consideration of fibre-matrix separation and fibre orientation during sheet-like parts compression molding of long fibre-reinforced thermoplastics for isothermal state. During a molding, fibre content and fibre orientation distributions are calculated from the separation and orientation equations, and the viscosity of composites is expressed as a function of fibre content and fibre orientation. Based on the viscosity, the model was developed using the finite element method, and random and unidirectional reinforced composites are simulated. By comparing the theory with experimental results, the model accurately predicts mold filling patterns for the composite materials.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.