A Review of Fiber-Reinforced Injection Molding: Flow Kinematics and Particle Orientation

The existing flow and particle orientation models applicable to fiber- reinforced injection molding are reviewed. After a brief description of injection molding, previous studies on the flow kinematics and fiber reinforcement are presented. Basics of Hele-Shaw flows are described Including the commonly used viscosity models and foun tain flow effects. Some of the existing models for particle orientation are analyzed with particular emphasis on the amsotropic description of the material system. Concentration regions for short fiber suspensions are defined and relevant constitutive equations are dis cussed. A few example solutions are also given which describe the three-dimensional ori entation field for the filling of a sudden expansion cavity, depicting skin-core orientation structure.Yeshttps://us.sagepub.com/en-us/nam/manuscript-submission-guideline

Process parameters estimation for structural reaction injection molding and resin transfer molding

Some design strategies for structural reaction injection molding (S-RIM) and resin transfer molding (RTM) are presented. Our approach makes use of moldability diagrams to define the parameters necessary to meet the process requirements. Moldability diagrams are presented for the filling and curing steps. The criterion for selecting the amount of fiber reinforcement, injection time, catalyst level, and process temperatures in order to optimize properties and demold time is described

DESIGN STRATEGIES FOR COMPOSITE REACTION INJECTION MOLDING AND RESIN TRANSFER MOLDING.

We have presented some design suggestions for the CRIM and RTM process. The approach is by the use of moldability diagrams from which it is possible to define a set of conditions necessary to meet the process requirements. Diagrams were presented for the filling and curing steps. The conditions adopted in the process should fall inside both the filling and curing process windows. The design strategy presented should be considered as an initial stage in the definition of the process; control and optimization will require deeper understanding of the basic concepts of the operation

Process parameters estimation for structural reaction injection molding and resin transfer molding

Some design strategies for structural reaction injection molding (S-RIM) and resin transfer molding (RTM) are presented. Our approach makes use of moldability diagrams to define the parameters necessary to meet the process requirements. Moldability diagrams are presented for the filling and curing steps. The criterion for selecting the amount of fiber reinforcement, injection time, catalyst level, and process temperatures in order to optimize properties and demold time is described

DESIGN STRATEGIES FOR COMPOSITE REACTION INJECTION MOLDING AND RESIN TRANSFER MOLDING.

We have presented some design suggestions for the CRIM and RTM process. The approach is by the use of moldability diagrams from which it is possible to define a set of conditions necessary to meet the process requirements. Diagrams were presented for the filling and curing steps. The conditions adopted in the process should fall inside both the filling and curing process windows. The design strategy presented should be considered as an initial stage in the definition of the process; control and optimization will require deeper understanding of the basic concepts of the operation

Numerical simulation of deformable drops with soluble surfactant: Pair interactions and coalescence in shear flow

We study numerically the dynamics of deformable drops in the presence of surfactant species both on the drop-matrix interfaces and in the bulk fluids using a novel 3D adaptive finite-element method. The method is based on unstructured adaptive triangulated and tetrahedral meshes that discretize the interfaces and the bulk respectively, and on an efficient parallelization of the numerical solvers. We use this method to investigate the effects of surfactants on drop-drop interactions in shear flow. The simulations account for surfactant effects through a nonlinear Langmuir equation of state and through adsorption/desorption laws describing the transport between bulk and interface. Van der Waals forces responsible for coalescence are included. For clean drops (no surfactant), our simulations confirm (for the first time to our knowledge) a well known theoretical result [1] for the dependence of the critical capillary number-below which coalescence occurs-on the drop radius with an exponent -4/9. Our results reveal a non-monotonic dependence of the critical capillary number Cac on the surface coverage of surfactant. Marangoni stresses prevent drop approach thus decreasing Cac with respect to the clean-drop case. However, at large coverages close to the maximum packing of surfactant molecules, surfactant redistribution is prohibited (the surfactant is nearly incompressible) and thus the effect of Marangoni stresses is weakened, leading to an increase of Cac. In some cases, Cac at high coverages is even larger than in the clean-drop case: surfactant near-incompressibility hinders drop deformation and thus coalescence can occur at higher capillary number. Finally, our results also reveal a non-monotonic dependence of Cac on surfactant solubility in the bulk. At moderate surfactant concentration, diffusion in the bulk decreases surfactant redistribution on the interface and thus weakens Marangoni stresses resulting in higher Cac than in the insoluble case. However, when the surfactant bulk concentration is large, high adsorption fluxes maintain a higher surface concentration in equilibrium than for the insoluble case, thus resulting in larger drop deformation and in lower Cac