• Publications
  • Influence
Property improvements of in situ epoxy nanocomposites with reduced interparticle distance at high nanosilica content
SiO2/epoxy nanocomposites were formed in situ via a special sol–gel technique supplied by hanse chemie AG, in which silica nanoparticles with an average diameter of 25 nm were almost perfectlyExpand
Epoxy nanocomposites ¿ fracture and toughening mechanisms
Abstract This study focuses to provide information about reinforcing influences of nanoparticles exerted on the mechanical and fracture mechanical properties of epoxy resins, particularly with regardExpand
Tensile performance improvement of low nanoparticles filled-polypropylene composites
Abstract It was found beforehand that low nanoparticles loaded polymer composites with improved mechanical performance can be prepared by conventional compounding technique in which the nanoparticlesExpand
Effects of various fillers on the sliding wear of polymer composites
Abstract Short fibre reinforced polymer composites are nowadays used in numerous tribological applications. In spite of this fact, new developments are still under way to explore other fields ofExpand
Polymer Composites: From Nano- to Macro-Scale
Nano-Composites: Structure and Properties. Carbon nanotube reinforced polymers: a state of the art review.- Application of non-layered nanoparticles in polymer modification.- Reinforcement ofExpand
On the wear behaviour of short-fibre-reinforced peek composites
Abstract The wear behaviour of short-glass- and carbon-fibre-reinforced composites of polyetheretherketone is investigated under extremely different types of wear loading. Sliding wear tests againstExpand
Chapter 4 Thermoforming of continuous fibre/thermoplastic composite sheets
Abstract Continuous fibre-reinforced thermoplastic polymers are a relatively young group of engineering materials compared with their thermosetting counterparts. However, due to their outstandingExpand
Artificial neural networks applied to polymer composites: a review
Inspired by the biological nervous system, an artificial neural network (ANN) approach is a fascinating mathematical tool, which can be used to simulate a wide variety of complex scientific andExpand
On the characterization of tensile creep resistance of polyamide 66 nanocomposites. Part II: Modeling and prediction of long-term performance
Abstract The Part I of this study [Yang JL, Zhang Z, Schlarb AK, Friedrich K. Polymer 2006;47:2791–801] provided systematic experiments and general discussions on the creep resistance of polyamide 66Expand