Title of article :
Commingled yarns of surface nanostructured glass
and polypropylene filaments for effective composite properties
Author/Authors :
Edith Ma¨der، نويسنده , , Christina Rothe، نويسنده , , Shang-Lin Gao، نويسنده ,
Issue Information :
دوهفته نامه با شماره پیاپی سال 2007
Abstract :
Developing commingled yarn technologies
and understanding the fundamental interface nanostructures
of reinforcement and thermoplastic filaments are of
significant current interest. Previous research on commingled
yarns was mainly focused on the air-jet texturing
process, while the mechanical properties of the composites
are strongly influenced by the impregnation homogeneity,
the polymer sizing properties and consolidation
process. Here, we report a unique melt spinning equipment
for E-glass fiber which is compatibly combined with
a melt spinning extruder to manufacture commingled
yarns. The in-situ commingling enables to combine
homogeneously both glass and polypropylene filament
arrays in one processing step and without fiber damage
compared to commingling by air texturing. Variation of
processing conditions are investigated, i.e. sizings, diameter
ratios, and arrangements of sizing/finish application
related to intermingling of filament arrays. A rapid processing
is achieved because of good intermingling and the
low flow paths. We found that the sizing enables a good
strand integrity with the polypropylene yarn. The interfacial
adhesion can be improved with a sizing for glass
fibers consisting of aminosilane and maleic anhydride
grafted polypropylene film former, which results in both
improved transverse tensile strength and compression
shear strength. We also found that a very small amount of
single-wall carbon nanotubes (SWNTs) in the sizing
provides significantly improved interfacial adhesion
strength. This is attributed to the change in fracture
behavior of the nano-structured interface and morphology
of the model single-fiber composites.
Journal title :
Journal of Materials Science
Journal title :
Journal of Materials Science