INVESTIGADORES
MORAN Juan Ignacio
congresos y reuniones científicas
Título:
Mold filling simulation of Natural Fiber Reinforced Composites processing by Resin Transfer Moulding (RTM)
Autor/es:
MORÁN JUAN IGNACIO; FRANCUCCI GASTON MARTIN; RODRIGUEZ EXEQUIEL SANTOS
Lugar:
Lucerna
Reunión:
Conferencia; SAMPE-SETEC 12, 07th International Technical Conference and Forum; 2012
Institución organizadora:
Seico
Resumen:
The numerical modeling of the infiltration of reinforcements during the
processing of composite materials by Liquid Composite Molding (LCM) techniques is
an important tool that allows predicting the flow front patterns, filling times
and resin pressure developed during mold filling. Therefore, molds can be
designed in the computer through numerical simulations using different
injection strategies, until the obtained results are acceptable. This is very
important to optimize the process and reduce the production costs.
Darcys Law is widely used to model most of these processes. According
to this law, the fabric property that affects the fluid flow is its
permeability. Usually, this property is considered constant and depends on the
fabric architecture, porosity and fiber type. However, the modeling of the LCM
processing of natural fiber reinforced composites is more complex than
synthetic fiber reinforced composites due to additional phenomena that take
place simultaneously with the fluid flow, such as fluid absorption and fiber
swelling. These phenomena modify the porosity and therefore the permeability of
the fabrics as the infiltration process proceeds.
In this work, some
models that include the aforementioned phenomena are proposed for the simulation
of the resin transfer molding (RTM) and/or vacuum assisted resin transfer molding
(VARTM) processing of natural fiber based composites. These models take into
account the variation in permeability of the fabrics as the fibers absorb fluid
and swell, and predicted more accurately the flow front development through the
reinforcement than the classic models that use a constant permeability value.